Modelling and Simulation of Human Behaviour in System Control
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1 Pietro Carlo Cacciabue Modelling and Simulation of Human Behaviour in System Control With 113 Figures
2 CONTENTS Foreword Author's Preface Acknowledgements xi xv xix Chapter 1. A Framework for Human-Machine Interaction Simulation 1.1 Introduction l Human-Machine System Models and Simulations Modelling Modern Working Contexts Types and Applications of HMI Simulation Types of Cognitive Simulation and Types of Analysis Types of Application Elements of HMI Simulation Micro-Cognition, Macro-Cognition and Simulation Theoretical Content of HMI Simulation Practical Implementation of HMI Simulation An Architecture for HMI Simulation Interaction Model and HMI Simulation Interaction Model and Data Management 36
3 xxü Contents 1.5 A Data Architecture Taxonomies Data and Parameters Data and HMI Simulation Architectures A Framework for HMI Simulation Elements of Framework Mechanisms of Framework Summary Requirements and Specifications Areas of application Models, Simulations and Data Types of Analysis Tables of Requirements and Specifications Conclusions 57 Chapter 2. Engineering Methods and Cognitive Task Analysis 2.1 Introduction Engineering Methods for Detection, Diagnosis and Action Theory of Communication Signal Detection and Other Monitoring Theories Control Theory 2.3 Engineering Methods for Planning and Decision Making Fuzzy Set Theory Qualitative-Physics Theory Artificial Intelligence and Expert Systems Cognitive Task Analysis Scope of Cognitive Task Analysis Structures and Forms of Cognitive Task Analysis Outcomes of Cognitive Task Analysis o 80
4 Contents xxiii 2.5 Qualitative-Physics Model for the Control of a Steam Generator Structure of Models, Simulations and Data Quantitative and Qualitative-Physics Models of Physical Processes Quantitative and Qualitative-Physics Models of the Regulator Qualitative-Physics Simulation of Human Machine Interaction Summary 104 Chapter 3. Models and Simulations of Cognition 3.1 Introduction Review of Models of Cognition SHEL Model HO Model of Human Problem Solving Step-Ladder, Skill-Rule-Knowledge Model Model of "Fallible Machine" Basic Supervisory Control Paradigm Contextual Control Model Comparison of Cognitive Models Review of Simulations of Cognition The Simulation AIDE The Simulation CAMEO The Simulation CES The Simulation COSIMO The Operator Function Modelling - OFM The Simulation of a Group - SYBORG Other Cognitive Simulations Guidelines for Development of a Simulation Definition of Problem B oundaries and Aim of Simulation Cognitive Task Analysis and Field Study of Working Context Selection of Theoretical Model 176
5 xxiv Contents Selection of Numerical Algorithms and Implementation in Programming Language and Environment An Example of Application Definition of Problem Boundaries and Aim of Simulation - Case Study COSIMO Cognitive Task Analysis and Field Study of Working Context - Case Study COSIMO Selection of Theoretical Model - Case Study COSIMO Selection of Numerical Algorithms and Implementation in Programming Language and Environment - Case Study COSIMO Simulation of Problem Solving Situations by COSIMO Summary 204 Chapter 4. Modelling Machine and Interaction 4.1 Introduction Models and Simulations of Machines Interaction Model Algorithms for Interaction Models The DYLAM Methodology The Chemical and Volume Control System Case Study Plant Description and Accident Scenario - Case Study CVCS Machine Model and Simulation - Case Study CVCS Human Model and Simulation - Case Study CVCS Interaction Model - Case Study CVCS Results of Case Study CVCS The Auxiliary Feed-Water System Case Study Plant Description and Accident Scenario - Case Study AFWS Machine Model and Simulation - Case Study AFWS Human Model and Simulation - Case Study AFWS Interaction Model - Case Study AFWS Results of Case Study AFWS 305
6 Contents xxv 4.6 Critical Review of Case Studies CVCS and AFWS Summary 330 Acronyms and Abbreviations 333 References 337 Subject Index 351 Author Index 355
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