FIoT: A Framework for Self-Adaptive and Self-Organizing Internet of Things Applications. Nathalia Moraes do Nascimento nnascimento@inf.puc-rio.

Size: px
Start display at page:

Download "FIoT: A Framework for Self-Adaptive and Self-Organizing Internet of Things Applications. Nathalia Moraes do Nascimento nnascimento@inf.puc-rio."

Transcription

1 FIoT: A Framework for Self-Adaptive and Self-Organizing Internet of Things Applications Nathalia Moraes do Nascimento nnascimento@inf.puc-rio.br

2 Roadmap Motivation FIoT Main Idea Application Scenario Decentralized Car Traffic Control 2

3 MOTIVATION 3

4 Motivation Internet Of Things (IoT) Billions of things and events connected. Fonte: ReadWrite The Internet of Things represents an evolution in which objects are capable of interacting with other objects. [IBM; 2013] 4

5 Motivation On the last years, numerous IoT research and application projects have been done by universities or in industry Most of them are concentrating on operational technology Limit Internet traffic capacity Architecture Protocols 5

6 Motivation On this way, a lot of questions are still opened: How should these data be managed? How to define the best way to communicate all these things? How can the system use this information to make inferences over context? [Velloso, Raposo, Fuks; 2010] 6

7 Motivation Some researchers concentrating only on operational technologies may be a clear drawback Artificial Intelligence (AI) methods and techniques can help to accomplish important tasks from IoT environment: Interpreting the environment s state; To represent entities in the environment; To make inferences over the context in order to make decision; and Acting on the environment. 7

8 Motivation Multiagent Systems (MAS) are especially good to design real-world and social systems It s almost impossible to correctly determine the repertoire of behaviors on a MAS at design time. This complexity can be reduced or prevented by providing agents with learning capabilities (WEIß, 95) 8

9 Proposed Solution FIoT = MultiAgent Systems + Machine Learning + Internet of Things 9

10 Framework for Internet of Things FIOT 10

11 Main Idea Development of decentralized controllers for Internet of Things The application consists of the development of three kind of agents: God Agent; Adaptive Agent; Observer Agent. 11

12 Main Idea 12

13 Main Idea 13

14 FIoT: Core Devices Connection Detect devices Receive data from devices Send data for devices Communication among agents Control structure: sensor, make decisions based on a controller, act, evaluate decisions and adapt 14

15 FIoT: Flexible Points Different control modules: Neural Network; State Machine Different training process for control module: Learning Techniques Evaluate the results: how the environment changes have to be evaluated 15

16 A NeuroEvolutionary and MultiAgent Approach to Create a Decentralized and Adaptive Car Traffic Control using FIoT APPLICATION SCENARIO 16

17 Application Scenario Traffic Control Control Application for a Car Traffic Scenario Problem Scenario Elements: roads, lanes, cars Elements controlled by agents: only lanes Decision Control Neural Network Learning Algorithm Genetic Algorithm 17

18 Simulated Environment 18

19 Configuring FIoT to Traffic Control Application (a) (b) 02/09/

20 Quickly Background Review Neural Network Memory for associations y = f(x); x: inputs and weights colorsignal = f(microphone *W1, carrate *W2, previoussignal * W3) signalvoice = f(microphone *W4, carrate *W5, previoussignal * W6) Each weight represents how much each input gives contribution for outputs (the relevance of each one) Middle layer: association among inputs 20

21 Quickly Background Review Genetic Algorithm Unsupervised Learning Each individual: W1 W2 W3 W4 W5 W6 Fitness: How good is this neural controller with this sequence of weights? (How many cars concluded their route?) Get best individuals to generate new individuals (crossover and mutation). After 85 generations, use the best one. 21

22 Results The communication system among lanes, the influence of rate of cars on traffic light decision, nothing was specified before simulation. Norms of traffic, the lanes interactions emerged through evolutionary process. Neural Network: black box 22

23 Fitness Value Results Fitness Average Generations Normally, an abrupt change on this graph can indicate the emergence of a new behavior Fitness Average C D B E A Generation AVERAGE A: car rate makes negative influence. If there is a car, traffic light is put on red 23

24 Fitness Value Results Max Fitness Max Fitness - Linear Trend Generation BEST FITNESS 24

25 Results Best Individual of Generation 4 C: Priority is given for Lanes with higher rate of cars 25

26 Results E: Best individual. Lanes that don t have intersection with other lanes adopted the strategy to keep the signal on green Most important factor to decide about traffic light is rate of cars, but is not the only one: if traffic light is red and/or the closest lane emits signal zero, the chance of lane to set traffic light on green is higher. 26

27 Conclusion The main goal of FIoT is to reduce the complexity of development of IoT applications Investigate the use of learning techniques to model complex systems based on MAS The expected is to easily introduce these concepts on real situation or a most advanced simulated applications Contribution of MAS for IoT 27

28 References Accenture. Digital Industry 4.0. Disponível em Acesso em março de Annes, R. APLICAÇÕES DE SISTEMAS MULTIAGENTES E APRENDIZAGEM AUTOMÁTICA NO PROCESSAMENTO DA LINGUAGEM NATURAL. Disponível em Acesso em março de Costa, A.D., Nunes, C., Silva, V.T., Fonseca, B., Lucena, C.J.P., Jaaf+t: a framework to implement self-adaptive agents that apply selftest, in: Proceedings of the 2010 ACM Symposium on Applied Computing, ACM, New York, NY, USA. pp D. Floreano, P. Du rr, C. Mattiussi. Neuroevolution: from architectures to learning, in proceeding of the Evolutionary Intelligence, F. Bellifemine, A. Poggi, G. Rimassa. JADE A FIPA-compliant agent framework. Available on< Access in September FARSA. Framework for Autonomous Robotics Simulation and Analysis. Available on < Access in September Frevo. FRamework for EVOlutionary design. Available on < I. Fehérvári and W. Elmenreich. Evolutionary Methods in Self-organizing System Design. International Conference on Genetic and Evolutionary Methods A. Sobe, I. Fehervari, W. Elmenreich. FREVO: A Tool for Evolving and Evaluating Selforganizing Systems. In the proceedings of the Internacional Conference on Self-Adaptive and Self-Organizing Systems, Gardelli, L. Designing Self-Organising environments with agents and artifacts: A simulation-driven approach. International Journal of Agent-Oriented Software Engineering, 2(2). In Press Gardelli, L.; Mirko, V.; Casadei, M.; Omicini, A. Designing Self-organising MAS Environments: The Collective Sort Case. International Workshop on Environments for MultiAgent System (E4MAS), 2007.a. G. Di Marzo Serugendo, M.-P. Gleizes, A. Karageorgos. Self-Organisation in MAS, Knowledge Engineering Review 20(2): , Cambridge University Press, G. Di Marzo Serugendo, J. Fitzgerald, N. Guelfi. A Generic Framework for Designing and Implementing Self-Adaptive and Self-Organising Systems. COMPUTING SCIENCE, University of Newcastle, 2007.

29 References G. Di Marzo Serugendo, M. Kelly. Decentralised Car Traffic Control using Message Propagation Optimized with a Genetic Algorithm, in: Proceeding of the Evolutionary Computation, IBM. Internet of Things. Available on Access in December Jakob, M. AgentPolis: Towards a Platform for Fully Agent-based Modeling of Multi-Modal Transportation(Demonstration), in Proceedings of the AAMAS, Nolfi S., Floreano D. Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines. Cambridge, MA: MIT Press/Bradford Books, JADE HomePage. Integrating JADE and Jess. Available on < Access in September JNEAT HomePahe. Framework for NeuroEvolution (NEAT JAVA). Available on < Access in September Neto, B.F.S. JAAF: Implementando Agentes Auto-Adaptativos Orientados a Serviços. Dissertação de Mestrado Departamento de Informática PUC-RIO, Neural Network Research Group. NeuroEvolution. Available on Access in September R. Miikkulainen, E. Feasley, L. Johnson, I. Karpov, P. Rajagopalan, A. Rawal, W. Tansey. Multiagent Learning through Neuroevolution, in Proceedings of IEEE WCCI, SIMON S. HAYKIN. Redes Neurais. ReadWrite. How The Internet Of Things Will Transform Everything - According To IT Experts. Available on Spril Telefonica. Smart Cities for a better world. Available on Access in December V. I. Gorodetskii. SelfOrganization and Multiagent Systems: II. Applications and the Development Technology. JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL Vol. 51 No Velloso, E.; Raposo, A.; Fuks, H. Web of Things: The Collaborative Interaction Designer Point of View. Proceedings of Web Science Brasil 2010, Workshop of the Brazilian Institute for Web Science Research. Read more: WEIß, G. ; SEN, S. Adaptation and Learning in Multi-Agent. Springer, 1995.

Cloud Computing Integrated into Service-Oriented Multi-Agent Architecture

Cloud Computing Integrated into Service-Oriented Multi-Agent Architecture Cloud Computing Integrated into Service-Oriented Multi-Agent Architecture Sara Rodríguez 1, Dante I. Tapia 1, Eladio Sanz 1, Carolina Zato 1, Fernando de la Prieta 1, Oscar Gil 1 1 Departamento de Informática

More information

Self-organized Multi-agent System for Service Management in the Next Generation Networks

Self-organized Multi-agent System for Service Management in the Next Generation Networks PROCEEDINGS OF THE WORKSHOP ON APPLICATIONS OF SOFTWARE AGENTS ISBN 978-86-7031-188-6, pp. 18-24, 2011 Self-organized Multi-agent System for Service Management in the Next Generation Networks Mario Kusek

More information

Second International Workshop on Theory and Practice of Open Computational Systems (TAPOCS 2004)

Second International Workshop on Theory and Practice of Open Computational Systems (TAPOCS 2004) Second International Workshop on Theory and Practice of Open Computational Systems (TAPOCS 2004) Andrea Omicini Alessandro Ricci DEIS, Università di Bologna via Venezia 52, 47023 Cesena, Italy Dina Goldin

More information

Cloud Computing for Agent-based Traffic Management Systems

Cloud Computing for Agent-based Traffic Management Systems Cloud Computing for Agent-based Traffic Management Systems Manoj A Patil Asst.Prof. IT Dept. Khyamling A Parane Asst.Prof. CSE Dept. D. Rajesh Asst.Prof. IT Dept. ABSTRACT Increased traffic congestion

More information

Incremental Evolution of Robot Controllers for a Highly Integrated Task

Incremental Evolution of Robot Controllers for a Highly Integrated Task Incremental Evolution of Robot Controllers for a Highly Integrated Task Anders Lyhne Christensen and Marco Dorigo IRIDIA, CoDE, Université Libre de Bruxelles, 5, Av. Franklin. Roosevelt CP 94/6, 5 Bruxelles,

More information

Neuroevolution of Mobile Ad Hoc Networks

Neuroevolution of Mobile Ad Hoc Networks Neuroevolution of Mobile Ad Hoc Networks David B. Knoester, Heather J. Goldsby, and Philip K. McKinley Department of Computer Science and Engineering Michigan State University East Lansing, Michigan 48824

More information

Artificial Intelligence and Robotics @ Politecnico di Milano. Presented by Matteo Matteucci

Artificial Intelligence and Robotics @ Politecnico di Milano. Presented by Matteo Matteucci 1 Artificial Intelligence and Robotics @ Politecnico di Milano Presented by Matteo Matteucci What is Artificial Intelligence «The field of theory & development of computer systems able to perform tasks

More information

Using a Multi-Agent Architecture to Manage Knowledge in the Software Maintenance Process

Using a Multi-Agent Architecture to Manage Knowledge in the Software Maintenance Process Using a Multi-Agent Architecture to Manage Knowledge in the Software Maintenance Process Oscar M. Rodríguez 1, Aurora Vizcaíno 2, Ana I. Martínez 1, Mario Piattini 2, Jesús Favela 1 1 CICESE, Computer

More information

Intelligent Modeling of Sugar-cane Maturation

Intelligent Modeling of Sugar-cane Maturation Intelligent Modeling of Sugar-cane Maturation State University of Pernambuco Recife (Brazil) Fernando Buarque de Lima Neto, PhD Salomão Madeiro Flávio Rosendo da Silva Oliveira Frederico Bruno Alexandre

More information

Hanumat G. Sastry Dept of Computer Science School of Science and Technology Dravidian University India-517 425 sastrygh2000@yahoo.

Hanumat G. Sastry Dept of Computer Science School of Science and Technology Dravidian University India-517 425 sastrygh2000@yahoo. Universal Journal of Computer Science and Engineering Technology 1 (2), 112-116, Nov. 2010. 2010 UniCSE, ISSN: 2219-2158 A Novel Business Intelligence System Framework Venkatadri. M Dept of Computer Science

More information

Normative Ontologies to Define Regulations Over Roles in Open Multi- Agent Systems

Normative Ontologies to Define Regulations Over Roles in Open Multi- Agent Systems Normative Ontologies to Define Regulations Over Roles in Open Multi- Agent Systems Carolina Felicíssimo, Carlos Lucena, Gustavo Carvalho and Rodrigo Paes Departamento de Informática PUC Rio Rua Marquês

More information

Multi-Agent System for Management and Monitoring of Routes Surveillance

Multi-Agent System for Management and Monitoring of Routes Surveillance Multi-Agent System for Management and Monitoring of Routes Surveillance Sara Rodríguez and Javier Bajo Departamento de Informática y Automática, Universidad de Salamanca Plaza de la Merced s/n, 37008,

More information

A Society of Self-organizing Agents in the Intelligent

A Society of Self-organizing Agents in the Intelligent From: AAAI Technical Report SS-98-02. Compilation copyright 1998, AAAI (www.aaai.org). All rights reserved. A Society of Self-organizing Agents in the Intelligent Home Werner Dilger Computer Science Department

More information

16. Finkenzeller, K.. RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification. John Wiley & Sons; 2nd edition (May

16. Finkenzeller, K.. RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification. John Wiley & Sons; 2nd edition (May 106 Referências 1. Agentlink: European coordination action for agent-based computing. [online em 15/07/2005]. http://www.agentlink.org/ 2. Agent Oriented Software Group. [online em 15/07/2005]. http://www.agent-software.com/

More information

Appendices master s degree programme Artificial Intelligence 2014-2015

Appendices master s degree programme Artificial Intelligence 2014-2015 Appendices master s degree programme Artificial Intelligence 2014-2015 Appendix I Teaching outcomes of the degree programme (art. 1.3) 1. The master demonstrates knowledge, understanding and the ability

More information

Efficient Reward Functions for Adaptive Multi-Rover Systems

Efficient Reward Functions for Adaptive Multi-Rover Systems Efficient Reward Functions for Adaptive Multi-Rover Systems Kagan Tumer 1 and Adrian Agogino 2 1 NASA Ames Research Center Mail Stop 269-4 Moffet Field, CA 94035 Phone:650-604-4940 Fax:650-604-4036 ktumer@mail.arc.nasa.gov

More information

Development of a Network Configuration Management System Using Artificial Neural Networks

Development of a Network Configuration Management System Using Artificial Neural Networks Development of a Network Configuration Management System Using Artificial Neural Networks R. Ramiah*, E. Gemikonakli, and O. Gemikonakli** *MSc Computer Network Management, **Tutor and Head of Department

More information

Modeling and Design of Intelligent Agent System

Modeling and Design of Intelligent Agent System International Journal of Control, Automation, and Systems Vol. 1, No. 2, June 2003 257 Modeling and Design of Intelligent Agent System Dae Su Kim, Chang Suk Kim, and Kee Wook Rim Abstract: In this study,

More information

Evolving Multimodal Behavior Through Subtask and Switch Neural Networks

Evolving Multimodal Behavior Through Subtask and Switch Neural Networks Evolving Multimodal Behavior Through Subtask and Switch Neural Networks Xun Li 1 and Risto Miikkulainen 1 1 The University of Texas at Austin xun.bhsfer@utexas.edu Abstract While neuroevolution has been

More information

D A T A M I N I N G C L A S S I F I C A T I O N

D A T A M I N I N G C L A S S I F I C A T I O N D A T A M I N I N G C L A S S I F I C A T I O N FABRICIO VOZNIKA LEO NARDO VIA NA INTRODUCTION Nowadays there is huge amount of data being collected and stored in databases everywhere across the globe.

More information

Adaptive Agent-Based SCADA System

Adaptive Agent-Based SCADA System Adaptive Agent-Based SCADA System Hosny Abbas 1, Samir Shaheen 2, and Mohammed Amin 3 Abstract Modern supervisory control and data acquisition (SCADA) systems comprise variety of industrial equipment such

More information

Numerical Research on Distributed Genetic Algorithm with Redundant

Numerical Research on Distributed Genetic Algorithm with Redundant Numerical Research on Distributed Genetic Algorithm with Redundant Binary Number 1 Sayori Seto, 2 Akinori Kanasugi 1,2 Graduate School of Engineering, Tokyo Denki University, Japan 10kme41@ms.dendai.ac.jp,

More information

PEDRO SEQUEIRA CURRICULUM VITAE

PEDRO SEQUEIRA CURRICULUM VITAE PEDRO SEQUEIRA CURRICULUM VITAE IST Taguspark - Av. Prof. Cavaco Silva, 2.N.9-15 2744-016 Porto Salvo, Portugal +351 214 233 508 pedro.sequeira@gaips.inesc- id.pt SUMMARY I am a post- doctoral associate

More information

NEUROEVOLUTION OF AUTO-TEACHING ARCHITECTURES

NEUROEVOLUTION OF AUTO-TEACHING ARCHITECTURES NEUROEVOLUTION OF AUTO-TEACHING ARCHITECTURES EDWARD ROBINSON & JOHN A. BULLINARIA School of Computer Science, University of Birmingham Edgbaston, Birmingham, B15 2TT, UK e.robinson@cs.bham.ac.uk This

More information

Evolutionary robotics, neural networks, video game AI

Evolutionary robotics, neural networks, video game AI Joel Lehman Contact Information Research Interests Education Dept. of Computer Science Voice: (614) 208-9980 The University of Texas at Austin E-mail: joel@cs.utexas.edu 2317 Speedway, Stop D9500 WWW:

More information

THE Internet is a powerful tool used in all kinds of the

THE Internet is a powerful tool used in all kinds of the Proceedings of the Federated Conference on Computer Science and Information Systems pp. 1343 1348 DOI: 10.15439/2015F161 ACSIS, Vol. 5 Selected methods of artificial intelligence for Internet of Things

More information

How To Use Floating Car Data For A Multi-Agent Organization

How To Use Floating Car Data For A Multi-Agent Organization Hierarchical Organizations and a Supporting Software Architecture for Floating Car Data Robrecht Haesevoets, Danny Weyns, Tom Holvoet, Wouter Joosen Department of Computer Science Katholieke Universtiteit

More information

HYBRID INTELLIGENT SUITE FOR DECISION SUPPORT IN SUGARCANE HARVEST

HYBRID INTELLIGENT SUITE FOR DECISION SUPPORT IN SUGARCANE HARVEST HYBRID INTELLIGENT SUITE FOR DECISION SUPPORT IN SUGARCANE HARVEST FLÁVIO ROSENDO DA SILVA OLIVEIRA 1 DIOGO FERREIRA PACHECO 2 FERNANDO BUARQUE DE LIMA NETO 3 ABSTRACT: This paper presents a hybrid approach

More information

A Conceptual and Computational Model for Knowledge-based Agents in ANDROID

A Conceptual and Computational Model for Knowledge-based Agents in ANDROID A Conceptual and Computational Model for Knowledge-based Agents in ANDROID Fabio Sartori, Lorenza Manenti and Luca Grazioli Department of Informatics, Systems and Communication, University of Milano-Bicocca,

More information

JOURNAL OF OBJECT TECHNOLOGY

JOURNAL OF OBJECT TECHNOLOGY JOURNAL OF OBJECT TECHNOLOGY Online at http://www.jot.fm. Published by ETH Zurich, Chair of Software Engineering JOT, 2008 Vol. 7, No. 8, Novmeber - December 2008 Extension of Object-Oriented Software

More information

An Energy-Based Vehicle Tracking System using Principal Component Analysis and Unsupervised ART Network

An Energy-Based Vehicle Tracking System using Principal Component Analysis and Unsupervised ART Network Proceedings of the 8th WSEAS Int. Conf. on ARTIFICIAL INTELLIGENCE, KNOWLEDGE ENGINEERING & DATA BASES (AIKED '9) ISSN: 179-519 435 ISBN: 978-96-474-51-2 An Energy-Based Vehicle Tracking System using Principal

More information

Machine Learning. 01 - Introduction

Machine Learning. 01 - Introduction Machine Learning 01 - Introduction Machine learning course One lecture (Wednesday, 9:30, 346) and one exercise (Monday, 17:15, 203). Oral exam, 20 minutes, 5 credit points. Some basic mathematical knowledge

More information

Mobile Robot Indoor Localization Using Artificial Neural Networks and Wireless Networks

Mobile Robot Indoor Localization Using Artificial Neural Networks and Wireless Networks Mobile Robot Indoor Localization Using Artificial Neural Networks and Wireless Networks Gustavo Pessin α, Fernando S. Osório α, Jó Ueyama α, Denis F. Wolf α and Torsten Braun β α Institute of Mathematics

More information

Fuzzy Cognitive Map for Software Testing Using Artificial Intelligence Techniques

Fuzzy Cognitive Map for Software Testing Using Artificial Intelligence Techniques Fuzzy ognitive Map for Software Testing Using Artificial Intelligence Techniques Deane Larkman 1, Masoud Mohammadian 1, Bala Balachandran 1, Ric Jentzsch 2 1 Faculty of Information Science and Engineering,

More information

Introducing A Cross Platform Open Source Cartesian Genetic Programming Library

Introducing A Cross Platform Open Source Cartesian Genetic Programming Library Noname manuscript No. (will be inserted by the editor) Introducing A Cross Platform Open Source Cartesian Genetic Programming Library Andrew James Turner Julian Francis Miller the date of receipt and acceptance

More information

Agent-Based Software and Practical Case of Agent-Based Software Development

Agent-Based Software and Practical Case of Agent-Based Software Development Agent-Based Software and Practical Case of Agent-Based Software Development Course 2008/2009 SUBJECTS: AGENT-BASED SOFTWARE and PRACTICAL CASE OF AGENT-BASED SOFTWARE DEVELOPMENT EUROPEAN MASTER on SOFTWARE

More information

Meeting Scheduling with Multi Agent Systems: Design and Implementation

Meeting Scheduling with Multi Agent Systems: Design and Implementation Proceedings of the 6th WSEAS Int. Conf. on Software Engineering, Parallel and Distributed Systems, Corfu Island, Greece, February 16-19, 2007 92 Meeting Scheduling with Multi Agent Systems: Design and

More information

APPLICATION OF MULTI-AGENT SYSTEMS FOR NETWORK AND INFORMATION PROTECTION

APPLICATION OF MULTI-AGENT SYSTEMS FOR NETWORK AND INFORMATION PROTECTION 18-19 September 2014, BULGARIA 137 Proceedings of the International Conference on Information Technologies (InfoTech-2014) 18-19 September 2014, Bulgaria APPLICATION OF MULTI-AGENT SYSTEMS FOR NETWORK

More information

Introduction. Swarm Intelligence - Thiemo Krink EVALife Group, Dept. of Computer Science, University of Aarhus

Introduction. Swarm Intelligence - Thiemo Krink EVALife Group, Dept. of Computer Science, University of Aarhus Swarm Intelligence - Thiemo Krink EVALife Group, Dept. of Computer Science, University of Aarhus Why do we need new computing techniques? The computer revolution changed human societies: communication

More information

Cloud Computing in Bioinformatics

Cloud Computing in Bioinformatics Publication proof Cloud Computing in Bioinformatics Javier Bajo, Carolina Zato, Fernando de la Prieta, Ana de Luis, and Dante Tapia 1 Abstract. Cloud Computing presents a new approach to allow the development

More information

A Resilient Device Monitoring System in Collaboration Environments

A Resilient Device Monitoring System in Collaboration Environments , pp.103-114 http://dx.doi.org/10.14257/ijsh.2014.8.5.10 A Resilient Device Monitoring System in Collaboration Environments KeeHyun Park 1 and JongHwi Lee 1 Department of Computer Engineering, Keimyung

More information

Communicating Agents Architecture with Applications in Multimodal Human Computer Interaction

Communicating Agents Architecture with Applications in Multimodal Human Computer Interaction Communicating Agents Architecture with Applications in Multimodal Human Computer Interaction Maximilian Krüger, Achim Schäfer, Andreas Tewes, Rolf P. Würtz Institut für Neuroinformatik, Ruhr-Universität

More information

Implementation of hybrid software architecture for Artificial Intelligence System

Implementation of hybrid software architecture for Artificial Intelligence System IJCSNS International Journal of Computer Science and Network Security, VOL.7 No.1, January 2007 35 Implementation of hybrid software architecture for Artificial Intelligence System B.Vinayagasundaram and

More information

Using Genetic Algorithms in Secured Business Intelligence Mobile Applications

Using Genetic Algorithms in Secured Business Intelligence Mobile Applications Informatica Economică vol. 15, no. 1/2011 69 Using Genetic Algorithms in Secured Business Intelligence Mobile Applications Silvia TRIF Academy of Economic Studies, Bucharest, Romania silviatrif@gmail.com

More information

Sound Quality Evaluation of Hermetic Compressors Using Artificial Neural Networks

Sound Quality Evaluation of Hermetic Compressors Using Artificial Neural Networks Purdue University Purdue e-pubs International Compressor Engineering Conference School of Mechanical Engineering 2006 Sound Quality Evaluation of Hermetic Compressors Using Artificial Neural Networks Claudio

More information

Incremental Evolution of Complex Light Switching Behavior

Incremental Evolution of Complex Light Switching Behavior Incremental Evolution of Complex Light Switching Behavior Megan Schuster Swarthmore College 500 College Avenue Swarthmore PA 19081 megan@cs.swarthmore.edu Chris Harman Swarthmore College 500 College Avenue

More information

Next Generation Intrusion Detection: Autonomous Reinforcement Learning of Network Attacks

Next Generation Intrusion Detection: Autonomous Reinforcement Learning of Network Attacks Next Generation Intrusion Detection: Autonomous Reinforcement Learning of Network Attacks James Cannady Georgia Tech Information Security Center Georgia Institute of Technology Atlanta, GA 30332-0832 james.cannady@gtri.gatech.edu

More information

Programming Risk Assessment Models for Online Security Evaluation Systems

Programming Risk Assessment Models for Online Security Evaluation Systems Programming Risk Assessment Models for Online Security Evaluation Systems Ajith Abraham 1, Crina Grosan 12, Vaclav Snasel 13 1 Machine Intelligence Research Labs, MIR Labs, http://www.mirlabs.org 2 Babes-Bolyai

More information

Agreement-aware Semantic Management of Services

Agreement-aware Semantic Management of Services Agreement-aware Semantic Management of Services Qian Zhao, Yu Zhou, Mark Perry University of Western Ontario { qianzhao@csd yuzhou@alumni markp@csd}.uwo.ca Abstract Automation of versatile process management

More information

A Catechistic Method for Traffic Pattern Discovery in MANET

A Catechistic Method for Traffic Pattern Discovery in MANET A Catechistic Method for Traffic Pattern Discovery in MANET R. Saranya 1, R. Santhosh 2 1 PG Scholar, Computer Science and Engineering, Karpagam University, Coimbatore. 2 Assistant Professor, Computer

More information

Studying sign processes in the emergence of communication

Studying sign processes in the emergence of communication Studying sign processes in the emergence of communication Angelo Loula (angelocl@ecomp.uefs.br) Cognitive and Intelligent Systems Lab (LASIC), State University of Feira de Santana (UEFS) Feira de Santana,

More information

Review Article Intrusion Detection Systems Based on Artificial Intelligence Techniques in Wireless Sensor Networks

Review Article Intrusion Detection Systems Based on Artificial Intelligence Techniques in Wireless Sensor Networks Distributed Sensor Networks, Article ID 351047, 6 pages http://dx.doi.org/10.1155/2013/351047 Review Article Intrusion Detection Systems Based on Artificial Intelligence Techniques in Wireless Sensor Networks

More information

14.10.2014. Overview. Swarms in nature. Fish, birds, ants, termites, Introduction to swarm intelligence principles Particle Swarm Optimization (PSO)

14.10.2014. Overview. Swarms in nature. Fish, birds, ants, termites, Introduction to swarm intelligence principles Particle Swarm Optimization (PSO) Overview Kyrre Glette kyrrehg@ifi INF3490 Swarm Intelligence Particle Swarm Optimization Introduction to swarm intelligence principles Particle Swarm Optimization (PSO) 3 Swarms in nature Fish, birds,

More information

Bio-inspired mechanisms for efficient and adaptive network security

Bio-inspired mechanisms for efficient and adaptive network security Bio-inspired mechanisms for efficient and adaptive network security Falko Dressler Computer Networks and Communication Systems University of Erlangen-Nuremberg, Germany dressler@informatik.uni-erlangen.de

More information

6.2.8 Neural networks for data mining

6.2.8 Neural networks for data mining 6.2.8 Neural networks for data mining Walter Kosters 1 In many application areas neural networks are known to be valuable tools. This also holds for data mining. In this chapter we discuss the use of neural

More information

Some Aspects of the Quality of Service Support Used in Multi Agent Systems on Middleware- Based Distributed Messaging

Some Aspects of the Quality of Service Support Used in Multi Agent Systems on Middleware- Based Distributed Messaging Some Aspects of the Quality of Service Support Used in Multi Agent Systems on Middleware- Based Distributed Messaging Jose-Luis Poza-Luján, Raúl Simarro-Fernández, Juan-Luis Posadas-Yagüe and José-Enrique

More information

Multiobjective Multicast Routing Algorithm

Multiobjective Multicast Routing Algorithm Multiobjective Multicast Routing Algorithm Jorge Crichigno, Benjamín Barán P. O. Box 9 - National University of Asunción Asunción Paraguay. Tel/Fax: (+9-) 89 {jcrichigno, bbaran}@cnc.una.py http://www.una.py

More information

Mastem: A Mathematics Tutoring Multi-Agent System

Mastem: A Mathematics Tutoring Multi-Agent System Mastem: A Mathematics Tutoring Multi-Agent System Jéssyka Vilela 1, Ricardo Ramos 2, Jaelson Castro 1 1 Universidade Federal de Pernambuco Centro de Informática Av. Jornalista Anibal Fernandes, S/N, Cidade

More information

From Self-Organising Mechanisms to Design Patterns

From Self-Organising Mechanisms to Design Patterns Self-aware Pervasive Service Ecosystems From Self-Organising Mechanisms to Design Patterns University of Geneva Giovanna.Dimarzo@unige.ch 1 Outline Motivation: Spatial Structures and Services Self-Organising

More information

Load Balancing among Access Points

Load Balancing among Access Points among Access Points Master Thesis Department of Informatics MSc in Computer Science Athens University of Economics and Business Mmlab Meeting, June 2010 Outline Introduction 1 Introduction Objectives The

More information

A SURVEY ON GENETIC ALGORITHM FOR INTRUSION DETECTION SYSTEM

A SURVEY ON GENETIC ALGORITHM FOR INTRUSION DETECTION SYSTEM A SURVEY ON GENETIC ALGORITHM FOR INTRUSION DETECTION SYSTEM MS. DIMPI K PATEL Department of Computer Science and Engineering, Hasmukh Goswami college of Engineering, Ahmedabad, Gujarat ABSTRACT The Internet

More information

MANAGING QUEUE STABILITY USING ART2 IN ACTIVE QUEUE MANAGEMENT FOR CONGESTION CONTROL

MANAGING QUEUE STABILITY USING ART2 IN ACTIVE QUEUE MANAGEMENT FOR CONGESTION CONTROL MANAGING QUEUE STABILITY USING ART2 IN ACTIVE QUEUE MANAGEMENT FOR CONGESTION CONTROL G. Maria Priscilla 1 and C. P. Sumathi 2 1 S.N.R. Sons College (Autonomous), Coimbatore, India 2 SDNB Vaishnav College

More information

The Adomaton Prototype: Automated Online Advertising Campaign Monitoring and Optimization

The Adomaton Prototype: Automated Online Advertising Campaign Monitoring and Optimization : Automated Online Advertising Campaign Monitoring and Optimization 8 th Ad Auctions Workshop, EC 12 Kyriakos Liakopoulos 1, Stamatina Thomaidou 1, Michalis Vazirgiannis 1,2 1 : Athens University of Economics

More information

Comparison of Selection Methods in On-line Distributed Evolutionary Robotics

Comparison of Selection Methods in On-line Distributed Evolutionary Robotics Comparison of Selection Methods in On-line Distributed Evolutionary Robotics Iñaki Fernández Pérez, Amine Boumaza and François Charpillet Université de Lorraine, INRIA, Campus scientifique BP 239 Vandoeuvre-lès-Nancy

More information

Improving the Performance of a Computer-Controlled Player in a Maze Chase Game using Evolutionary Programming on a Finite-State Machine

Improving the Performance of a Computer-Controlled Player in a Maze Chase Game using Evolutionary Programming on a Finite-State Machine Improving the Performance of a Computer-Controlled Player in a Maze Chase Game using Evolutionary Programming on a Finite-State Machine Maximiliano Miranda and Federico Peinado Departamento de Ingeniería

More information

Price Prediction of Share Market using Artificial Neural Network (ANN)

Price Prediction of Share Market using Artificial Neural Network (ANN) Prediction of Share Market using Artificial Neural Network (ANN) Zabir Haider Khan Department of CSE, SUST, Sylhet, Bangladesh Tasnim Sharmin Alin Department of CSE, SUST, Sylhet, Bangladesh Md. Akter

More information

4. Multiagent Sys stems Design. Part 2: The PROMETHEUS methodology.

4. Multiagent Sys stems Design. Part 2: The PROMETHEUS methodology. 4. Multiagent Systems Design Part 2: Multiagent Syste ems (SMA-UPC) https://kemlg.upc.edu The PROMETHEUS methodology. Javier Vázquez-Salceda SMA-UPC Methodological Extensions to Object-Oriented Approaches

More information

An Intelligent Software Agent Machine Condition Monitoring System Using GPRS and Data Mining

An Intelligent Software Agent Machine Condition Monitoring System Using GPRS and Data Mining An Intelligent Software Agent Machine Condition Monitoring System Using GPRS and Data Mining R.Anandan Assistant Professor 1 1 Department of Computer Science & Engineering KarpagaVinayagaCollege of Engineering

More information

Effect of Using Neural Networks in GA-Based School Timetabling

Effect of Using Neural Networks in GA-Based School Timetabling Effect of Using Neural Networks in GA-Based School Timetabling JANIS ZUTERS Department of Computer Science University of Latvia Raina bulv. 19, Riga, LV-1050 LATVIA janis.zuters@lu.lv Abstract: - The school

More information

Genetic Algorithm Evolution of Cellular Automata Rules for Complex Binary Sequence Prediction

Genetic Algorithm Evolution of Cellular Automata Rules for Complex Binary Sequence Prediction Brill Academic Publishers P.O. Box 9000, 2300 PA Leiden, The Netherlands Lecture Series on Computer and Computational Sciences Volume 1, 2005, pp. 1-6 Genetic Algorithm Evolution of Cellular Automata Rules

More information

Genetic Algorithm for Event Scheduling System

Genetic Algorithm for Event Scheduling System Genetic Algorithm for Event Scheduling 1 Abd. Samad Hasan Basari, 2 Siti Musliza Jalal, 3 Burairah Hussin and 4 Nabihah Mohd Isa Faculty of Information and Communication Technology UTeM, Hang Tuah Jaya,

More information

Expanding the CASEsim Framework to Facilitate Load Balancing of Social Network Simulations

Expanding the CASEsim Framework to Facilitate Load Balancing of Social Network Simulations Expanding the CASEsim Framework to Facilitate Load Balancing of Social Network Simulations Amara Keller, Martin Kelly, Aaron Todd 4 June 2010 Abstract This research has two components, both involving the

More information

Urban Traffic Control Based on Learning Agents

Urban Traffic Control Based on Learning Agents Urban Traffic Control Based on Learning Agents Pierre-Luc Grégoire, Charles Desjardins, Julien Laumônier and Brahim Chaib-draa DAMAS Laboratory, Computer Science and Software Engineering Department, Laval

More information

AN APPROACH FOR OBJECT FINDING USING MOBILE ROBOTS BASED ON ACO

AN APPROACH FOR OBJECT FINDING USING MOBILE ROBOTS BASED ON ACO AN APPROACH FOR OBJECT FINDING USING MOBILE ROBOTS BASED ON ACO Mrs. Amita.P. Meshram 1 and Mrs. Smita.R. Kapse 2 1 Department of Computer Technology, Y.C.C.E Hingna Road,Nagpur.16 India. amitameshram@gmail.com

More information

SYSTEMS, CONTROL AND MECHATRONICS

SYSTEMS, CONTROL AND MECHATRONICS 2015 Master s programme SYSTEMS, CONTROL AND MECHATRONICS INTRODUCTION Technical, be they small consumer or medical devices or large production processes, increasingly employ electronics and computers

More information

Optimizing content delivery through machine learning. James Schneider Anton DeFrancesco

Optimizing content delivery through machine learning. James Schneider Anton DeFrancesco Optimizing content delivery through machine learning James Schneider Anton DeFrancesco Obligatory company slide Our Research Areas Machine learning The problem Prioritize import information in low bandwidth

More information

AKEY challenge in communication networks is to design

AKEY challenge in communication networks is to design IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 16, NO. 5, SEPTEMBER 2005 1269 Self-Organizing Network Services With Evolutionary Adaptation Tadashi Nakano, Member, IEEE, and Tatsuya Suda, Fellow, IEEE Abstract

More information

Optimised Realistic Test Input Generation

Optimised Realistic Test Input Generation Optimised Realistic Test Input Generation Mustafa Bozkurt and Mark Harman {m.bozkurt,m.harman}@cs.ucl.ac.uk CREST Centre, Department of Computer Science, University College London. Malet Place, London

More information

How To Find Out If Novelty Search Is A Good Way To Find A Novel Solution

How To Find Out If Novelty Search Is A Good Way To Find A Novel Solution When Novelty is Not Enough Giuseppe Cuccu and Faustino Gomez IDSIA Galleria 2, 6928 Manno-Lugano, CH Email: {giuse,tino}@idsia.ch, WWW: http://www.idsia.ch/{~giuse,~tino} Abstract. The idea of evolving

More information

Stock Technical Analysis using Multi Agent and Fuzzy Logic

Stock Technical Analysis using Multi Agent and Fuzzy Logic Stock Technical Analysis using Multi Agent and Fuzzy Logic Ahmed A. Gamil, Raafat S. El-fouly, and Nevin M. Darwish, Cairo University, Egypt Abstract this paper proposes a multi agent and fuzzy logic based

More information

COMPUTATIONIMPROVEMENTOFSTOCKMARKETDECISIONMAKING MODELTHROUGHTHEAPPLICATIONOFGRID. Jovita Nenortaitė

COMPUTATIONIMPROVEMENTOFSTOCKMARKETDECISIONMAKING MODELTHROUGHTHEAPPLICATIONOFGRID. Jovita Nenortaitė ISSN 1392 124X INFORMATION TECHNOLOGY AND CONTROL, 2005, Vol.34, No.3 COMPUTATIONIMPROVEMENTOFSTOCKMARKETDECISIONMAKING MODELTHROUGHTHEAPPLICATIONOFGRID Jovita Nenortaitė InformaticsDepartment,VilniusUniversityKaunasFacultyofHumanities

More information

Project Presentation

Project Presentation MOBILEMAN IST-2001-38113 Mobile Metropolitan Ad hoc Networks MOBILEMAN Project Presentation Key Action/Action line: FET-Open Report Preparation Date: December 2002 Classification: Public Contract Start

More information

Remote support for lab activities in educational institutions

Remote support for lab activities in educational institutions Remote support for lab activities in educational institutions Marco Mari 1, Agostino Poggi 1, Michele Tomaiuolo 1 1 Università di Parma, Dipartimento di Ingegneria dell'informazione 43100 Parma Italy {poggi,mari,tomamic}@ce.unipr.it,

More information

Perspective Methods and Tools for the Design of Distributed Software Systems Based on Services

Perspective Methods and Tools for the Design of Distributed Software Systems Based on Services 5 th Slovakian-Hungarian Joint Symposium on Applied Machine Intelligence and Informatics January 25-26, 2007 Poprad, Slovakia Perspective Methods and Tools for the Design of Distributed Software Systems

More information

ISSN: 2319-5967 ISO 9001:2008 Certified International Journal of Engineering Science and Innovative Technology (IJESIT) Volume 2, Issue 3, May 2013

ISSN: 2319-5967 ISO 9001:2008 Certified International Journal of Engineering Science and Innovative Technology (IJESIT) Volume 2, Issue 3, May 2013 Transistor Level Fault Finding in VLSI Circuits using Genetic Algorithm Lalit A. Patel, Sarman K. Hadia CSPIT, CHARUSAT, Changa., CSPIT, CHARUSAT, Changa Abstract This paper presents, genetic based algorithm

More information

destro@fei.edu.br, reinaldo.bianchi@gmail.com

destro@fei.edu.br, reinaldo.bianchi@gmail.com ARTIFICIAL IMMUNE SYSTEMS APPLIED TO TELLER MACHINE DIAGNOSIS Ricardo de Carvalho Destro, Reinaldo Augusto da Costa Bianchi Centro Universitário da FEI e Volans Informática Av. Dr. Cardoso de Melo, 1470

More information

Contents. Dedication List of Figures List of Tables. Acknowledgments

Contents. Dedication List of Figures List of Tables. Acknowledgments Contents Dedication List of Figures List of Tables Foreword Preface Acknowledgments v xiii xvii xix xxi xxv Part I Concepts and Techniques 1. INTRODUCTION 3 1 The Quest for Knowledge 3 2 Problem Description

More information

Computing Reputation in the Art Context: Agent Design to Handle Negotiation Challenges

Computing Reputation in the Art Context: Agent Design to Handle Negotiation Challenges ISSN 0103-9741 Monografias em Ciência da Computação n 16/08 Computing Reputation in the Art Context: Agent Design to Handle Negotiation Challenges Andrew Diniz da Costa Carlos José Pereira de Lucena Viviane

More information

Scalability and Performance of JADE Message Transport System

Scalability and Performance of JADE Message Transport System E.Cortese Telecom Italia LAB Centro Direzionale isola F7 8143 Naples Italy +39819718364 Elisabetta.Cortese@TILAB.com Scalability and Performance of JADE Message Transport System F.Quarta Telecom Italia

More information

DEVELOPMENT OF A COMPUTATIONAL INTELLIGENCE COURSE FOR UNDERGRADUATE AND GRADUATE STUDENTS

DEVELOPMENT OF A COMPUTATIONAL INTELLIGENCE COURSE FOR UNDERGRADUATE AND GRADUATE STUDENTS DEELOPMENT OF A COMPUTATIONAL INTELLIGENCE COURSE FOR UNDERGRADUATE AND GRADUATE STUDENTS Ganesh K. enayagamoorthy Department of Electrical and Computer Engineering University of Missouri Rolla, MO 65409,

More information

Enhancement of Development Technologies for Agent- Based Software Engineering

Enhancement of Development Technologies for Agent- Based Software Engineering Enhancement of Development Technologies for Agent- Based Software Engineering Andre Karpištšenko Tallinn Technical University, Ehitajate tee 5 19086 Tallinn, Estonia andre@lap.ee Abstract. Current trends

More information

Memory Allocation Technique for Segregated Free List Based on Genetic Algorithm

Memory Allocation Technique for Segregated Free List Based on Genetic Algorithm Journal of Al-Nahrain University Vol.15 (2), June, 2012, pp.161-168 Science Memory Allocation Technique for Segregated Free List Based on Genetic Algorithm Manal F. Younis Computer Department, College

More information

Professor, D.Sc. (Tech.) Eugene Kovshov MSTU «STANKIN», Moscow, Russia

Professor, D.Sc. (Tech.) Eugene Kovshov MSTU «STANKIN», Moscow, Russia Professor, D.Sc. (Tech.) Eugene Kovshov MSTU «STANKIN», Moscow, Russia As of today, the issue of Big Data processing is still of high importance. Data flow is increasingly growing. Processing methods

More information

AGENT-BASED DOCUMENT MANAGEMENT WITHIN THE WHOLE LIFECYCLE OF INFORMATION SYSTEM Viacheslav Lanin, George Sokolov

AGENT-BASED DOCUMENT MANAGEMENT WITHIN THE WHOLE LIFECYCLE OF INFORMATION SYSTEM Viacheslav Lanin, George Sokolov 256 AGENT-BASED DOCUMENT MANAGEMENT WITHIN THE WHOLE LIFECYCLE OF INFORMATION SYSTEM Viacheslav Lanin, George Sokolov Abstract: In this paper an approach to using unstructured documents intelligent processing

More information

Requirements and Matching Software Technologies for Sustainable and Agile Manufacturing Systems

Requirements and Matching Software Technologies for Sustainable and Agile Manufacturing Systems Requirements and Matching Software Technologies for Sustainable and Agile Manufacturing Systems Daniël Telgen, Leo van Moergestel, Erik Puik, and Pascal Muller Dept. of Micro Systems Technology and Embedded

More information

Artificial Intelligence (AI)

Artificial Intelligence (AI) Overview Artificial Intelligence (AI) A brief introduction to the field. Won t go too heavily into the theory. Will focus on case studies of the application of AI to business. AI and robotics are closely

More information

A Stock Trading Algorithm Model Proposal, based on Technical Indicators Signals

A Stock Trading Algorithm Model Proposal, based on Technical Indicators Signals Informatica Economică vol. 15, no. 1/2011 183 A Stock Trading Algorithm Model Proposal, based on Technical Indicators Signals Darie MOLDOVAN, Mircea MOCA, Ştefan NIŢCHI Business Information Systems Dept.

More information

Learning is a very general term denoting the way in which agents:

Learning is a very general term denoting the way in which agents: What is learning? Learning is a very general term denoting the way in which agents: Acquire and organize knowledge (by building, modifying and organizing internal representations of some external reality);

More information

Gaming as a Service. Prof. Victor C.M. Leung. The University of British Columbia, Canada www.ece.ubc.ca/~vleung

Gaming as a Service. Prof. Victor C.M. Leung. The University of British Columbia, Canada www.ece.ubc.ca/~vleung Gaming as a Service Prof. Victor C.M. Leung The University of British Columbia, Canada www.ece.ubc.ca/~vleung International Conference on Computing, Networking and Communications 4 February, 2014 Outline

More information