Brains, Ontologies & Virtual Machines
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1 How Minds Work Brains, Ontologies & Virtual Machines Stan Franklin Computer Science Division & Institute for Intelligent Systems The University of Memphis 1
2 Question: How do minds work? What would an answer be like? That depends on the level of granularity. Brains, Ontologies & Virtual Machines 2
3 Granularity in Science Field Subfield Example Entities Neuroscience Neuroanatomy Hippocampus, amygdale, neocortex Neuroscience Neural tissue Neuropil, cortex, layer, cluster Neuroscience Neurons Cell body, dendrites, axon, membrane Biology Cell biology Membrane, nucleus, mitochondria, organelle Chemistry Organic chemistry Alcohol, acid, amine, phosphate, amino acid Chemistry Elements, molecules Physics Nuclear physics Atoms, protons, electrons, neutrons Physics Sub atomic physics Quarks, bosons, hadrons, leptrons Brains, Ontologies & Virtual Machines 3
4 Levels of Granularity Each level has its own Entities Relations Processes Theories Each level Supports the level above it Needs its own theories to explain it Theories are in terms of its own ontology Brains, Ontologies & Virtual Machines 4
5 Ontology? Philosophy the study of the nature and relations of being Computer Science a specification of the objects in a system and their relations How Minds Work a particular collection of entities, relations, processes Brains, Ontologies & Virtual Machines 5
6 A Simple Ontology Brains, Ontologies & Virtual Machines 6
7 Types of Machines Matter manipulating machines diggers, drills, cranes, cookers, Energy manipulating machines drill, cookers, transformers, steam engines, Information manipulating machines thermostats, controllers, most organisms, operating systems, compilers, organizations, governments, Brains, Ontologies & Virtual Machines 7
8 Computational Virtual Machines Type Virtual Machine Examples Application program Microsoft Word, Internet Explorer, computer games, IDA Developmental JDK, JRE, Java Gnome, IntelliJ IDEA, etc. environment Operating system Berkeley Unix, Windows XP, Mac OS X, Red Hat Linux Microcode Specific to each machine Hardware Mainframe, PDP 11, IBM PC, Mac Powerbook, Dell, etc. Brains, Ontologies & Virtual Machines 8
9 Virtual Machines Can be implemented on Physical machines Other virtual machines Composed of abstract entities words, sentences, numbers, bit patterns, trees, procedures, rules, etc. Have causal powers Obey internal laws, but not physical laws Brains, Ontologies & Virtual Machines 9
10 Things vs Agents Things (molecules, rocks, planets, etc.) react to physical forces acting on them Autonomous agents (animals, mobile robots, software agent, etc.) initiate (goal constrained) actions Autonomous agents have control structures, that is, minds Brains, Ontologies & Virtual Machines 10
11 Mind and Information Minds are control systems Control systems must produce, process and use information What s out there? (perception) What do I do about it? (action selection) How do I do it? (procedural control) Brains, Ontologies & Virtual Machines 11
12 Minds as Virtual Machines Not every mind is a virtual machine a thermostat s is purely causal The mind of any mobile robot or software agent is a virtual machine implemented on another virtual machine The minds of humans or animals are virtual machines implemented on brains Brains, Ontologies & Virtual Machines 12
13 Virtual Machine on a Brain Entities include qualia, objects, categories, feelings, intentions, internal images, internal speech, etc. Relations include cause, before, on top of, isa, is not, can drink from, etc. Processes include perception, memory, action selection, learning, etc. Note the partial ontology just created Brains, Ontologies & Virtual Machines 13
14 QuickTime and a TIFF (Uncompressed) decompressor are needed to see this picture. Brains, Ontologies & Virtual Machines 14
15 Synapses Pulse chemical wave Excitatory or inhibitory Neurotransmitter reuptake Signal vs modulator Learning via strengthening Decay with disuse Brains, Ontologies & Virtual Machines 15
16 Neurons in Action Neurotransmitters cross synaptic clefs changing the voltage of the neuron Internal voltage exceeds threshold Triggers pulse down the axon Releases neurotransmitter at each synaptic clef Brains, Ontologies & Virtual Machines 16
17 About Neurons Little used neurons tend to die Learning by Strengthening synapses Adding new synapses adding new neurons Interneurons vs projection neurons Brains, Ontologies & Virtual Machines 17
18 The Triune Brain Reptilian brain snakes, lizards hunger, temperature control Limbic system cats, rats mood, memory Neocortex primates social, planning QuickTime and a TIFF (Uncompressed) decompressor are needed to see this picture. QuickTime and a TIFF (Uncompressed) decompressor are needed to see this picture. QuickTime and a TIFF (Uncompressed) decompressor are needed to see this picture. Brains, Ontologies & Virtual Machines 18
19 Lobes of the Human Neo cortex Parietal Lobe Frontal Lobe Occipital Lobe Cerebellum Brain Stem Temporal Lobe Brains, Ontologies & Virtual Machines 19
20 Brains, Ontologies & Virtual Machines 20
21 Brains, Ontologies & Virtual Machines 21
22 A Cognitive Theory of Everything Sensation Perception Feeling & Emotion Working memory Episodic memory Consciousness Learning Deliberation Volition Automization Action Selection Problem solving Self Metacognition Brains, Ontologies & Virtual Machines 22
23 Assigned Readings Sloman, A., and R. Chrisley Virtual Machines and Consciousness. Journal of Consciousness Studies 10: Your "3 Brains in One Brain triune%20brain.htm (take the tour) Brains, Ontologies & Virtual Machines 23
24 and Web Addresses Stan Franklin Conscious Software Research Group www. csrg.memphis.edu/ Brains, Ontologies & Virtual Machines 24
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