from mind to brain machine the architecture of cognition david davenport computer eng. dept.,...
TRANSCRIPT
From Mind to Brain Machine
The Architecture of Cognition
David DavenportComputer Eng. Dept., Bilkent University,
06533 Ankara – Turkey.email: [email protected]
http://www.cs.bilkent.edu.tr/~david
Introduction Mind
conscious, aware, feeling, understanding, emotional, intelligent…
& Brain blob of gray matter, chemicals…
How do they work? Ask, Why Minds? Map solution space Look at plausible alternatives
What Purpose Do Minds Serve?
Physical basis Evolution produced brains Why? homeostasis
Maintain mental model of environment Simulation, multi-level, decoupled Include other agents & itself!
External representations Label model “I” or “me” Talking to ourselves
Greater capacity, longer term, … more successful?
Implementing Minds Represent, store, & manipulate info. Computationalism Physical Symbol System
Intensionality? Symbol Grounding
“If, in principle, syntactic relations can be made to parallel semantic relations, and if, in principle, you could have mechanisms whose operations on formulas are sensitive to their syntax, then it may be possible to construct a syntactically driven machine whose state transitions satisfy semantical criteria of coherence.” {Fodor & Pylyshyn}
Implementing Minds (2) Alternatives
ANN’s, Hybrid, Recurrent ANN’s & Dynamical systems?
Computation (modeling) “Abstract spec. of causal structure…”
Representation Observer-relative Prediction - meaning for the agent
Implementing Brains Symbolic vs. ANN
Both computational & use same technology
Difference? Copy vs. link storage Conjunction vs. disjunction
Require Active/inactive, in/out of construction
Recognition, expectations, anticipation decision, record cycle interaction
Possibilities Combining computations
Feedback loops or activation states Sequences
Feedback, delays or inhibition View-based or generative models Generating expectations Decoupling
Alternatives
Alternatives (2) Language understanding
Word – object Sentence pattern - situation
Concluding Remarks Brain too complex without “blueprint” Ask function, Enumerate solutions,
(Re)-Examine evidence Too much information! Need Theory – (thinner textbooks) More Interdisciplinary? Brain is “dirty” (multiple solutions)
the mystery of cognition remains