1 / 32

Confabulation Theory: The Mechanism of Thought

Confabulation Theory: The Mechanism of Thought. Group-7. Mental World. What is Cognition?. Cognition : Understanding and trying to make sense of the world Information processing Development of concepts

sybil
Download Presentation

Confabulation Theory: The Mechanism of Thought

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Confabulation Theory:The Mechanism of Thought Group-7

  2. Mental World

  3. What is Cognition? • Cognition : • Understanding and trying to make sense of the world • Information processing • Development of concepts • The mental functions, mental processes and states of intelligent entities with focus on: • comprehension, • inference, • decision-making, • planning and • learning etc.

  4. Cognition • Cerebral Cortex • Seat for cognition • How is Cerebral cortex able to do what it is able to do? • Fuzzy explanations • No clear cut perspective in exact terms • Introducing Confabulation Theory • A discrete insight into possible mechanism of thought

  5. Confabulation Theory • Proposed by Robert Hecht-Nielson • All human cognition and behavior based on one simple, non-algorithmic procedure that has been named confabulation • All aspects of cognition carried out using: • a single type of knowledge and • a single information processing operation called (confabulation)

  6. Relevance • Radical novel approach • First-of-its-kind concrete model • Issuing deeper insights into process of cognition • Augmenting present • Artificial intelligence • knowledge discovery • knowledge management

  7. Roadmap • Cognitive World Object Representation • Knowledge Links • Confabulation • The Mathematics of Cogent Confabulation • The Origin of Behaviour • Conclusion

  8. Cognitive World Object Representation • Cerebral Cortex • 4000 discrete, localized, disjoint patches • Thalamocortical Module • cortical patch and first-order thalamic zone uniquely paired by reciprocal axonal interconnection • Module • one attribute of an object of mental world

  9. Cognitive World Object Representation

  10. Cognitive World Object Representation • How are these modules used? • Make groups of 60: symbols • Module may consist of thousands of neurons • Symbol: one possible descriptor of an attribute • One neuron may belong to more than one symbols • Symbols have to be permanent

  11. Cognitive World Object Representation

  12. What is Knowledge? • Knowledge accumulates in discrete units • Knowledge link or knowledge unit is an axonal linkage between source symbol and target symbol • Source and target symbols belong to different modules

  13. Knowledge Links

  14. Formation of knowledge links • Two symbols become co-active to send out signals • Synapses are strengthened in the process of learning • Permanent strengthening during sleep • Billions of knowledge links • Humans and animals are 'smart’

  15. Confabulation • One and only one information processing operation • Localized • Winners-take-all • Symbol with highest total knowledge link input is conclusion of confabulation

  16. Implications of Knowledge Link • Source symbol neurons send signals to millions of transponder neurons • Only few thousand transponder neurons become highly excited • 10 % of the target neurons receive signals from multiple transponder neurons

  17. Implications of Knowledge Link

  18. Confabulation – Neuron Level

  19. Cogency

  20. Cogency • Aristotelian model : An appealing model for cognition : p(ε|αβγδ) • Wrong model • Alternate model : Cogency : p(αβγδ|ε) • α,β,γ,δ : Assumed facts • ε : Conclusion

  21. Cogency Theorems • Thm 1: If αβγδ => ε exclusively, then maximization of cogency produces one and only one answer ε • Aristotelian logic information environment: maximizing cogency gives logical answers

  22. Cogency Theorems • Cogency calculation : only in trivial situations • Confabulation Product : p(α|ε).p(β|ε).p(γ|ε).p(δ|ε) • Thm 2: [p(αβγδ|ε)]4 = [p(αβγδε)/p(αε)].[p(αβγδε)/p(βε)]. [p(αβγδε)/p(γε)].[p(αβγδε)/p(δε)]. [p(α|ε).p(β|ε).p(γ|ε).p(δ|ε)] • In non-exceptional cases, [p(αβγδ|ε)]4≈C*[p(α|ε).p(β|ε).p(γ|ε).p(δ|ε)]

  23. Confabulation Examples • Some examples from test • She could determine (whether, exactly, if, why) • If it was not (immediately, clear, enough, true) • Earthquake activity was [centered] • For lack of a (unified, blockbuster, comprehensive, definitive) • A lack of (urgency, oxygen, understanding) • Regardless of expected [outcome, length] • Automatic emergence of semantics and grammar

  24. Why Cogency and not Baye’s Law? • p(λ)=0.01; p(ε)=0.0001; p(αβγδ|λ)=0.01; p(αβγδ|ε)=0.2 • p(αβγδ|ε)= 20 * p(αβγδ|λ) • p(λ |αβγδ)= 5 * p(ε|αβγδ) • Baye’s Law => λ • Cogency => ε

  25. Quiz! (For those who are sleeping) • Quickly select a next word for each of the following: • Company rules forbid taking • Mickey and Minnie were • Capitol hill observers are • Paper is made from • Riding the carousel was

  26. Why Cogency and not Baye’s Law? • Typical answers : • Naps • Happy • Wondering • Wood • Fun • ‘the’ also viable : Baye’s law

  27. Conclusion-Action Principle: Origin of Behavior

  28. Conclusion-Action Principle: Origin of Behavior • Every time a confabulation operation on a module reaches a conclusion, an associated set of action commands are launched • Winner of a confabulation competition employs skill knowledge to launch an action • Skill knowledge, and skill learning are not parts of cognitive thinking

  29. Hindering Blocks • Conceiving and then precisely defining a confabulation architecture • Conceiving and then precisely defining the thought processes • Conceiving and executing an appropriately staged sequence of learning opportunities

  30. Conclusion • A new dimension to the mechanism of thought • Based on Cogency (refutes Bayesian model) • If proved correct • Better insight into human cognition • Will redefine the outlook towards various AI problems • Radical improvement in present ML techniques

  31. References • Robert Hecht-Nielson, Cogent Confabulation, Neural Networks Letter, 2004 • Robert Hecht-Nielson, Confabulation Theory: A Synopsis, Institute for Neural Computation, 2005 • Robert Hecht-Nielson, The Mechanism of Thought, International Joint Conference on Neural Networks, 2006 • scholarpedia.org/confabulation

  32. ThanQ • “Animal cognition maximizes cogency, and in a non-logic environment, cogency maximization implements what I call the ‘duck test.’" - Robert Hecht-Nielson • “There must be some event that triggers every behavioral event, and it had to be the same in every instance, whether we're thinking, moving, or whatever." - Robert Hecht-Nielson

More Related