The Fractal Beauty of Emergence: Re-EnVisioning Intelligence in Man and Machine Simon D. Levy Department of Computer Science Washington and Lee University.

Slides:



Advertisements
Similar presentations
B&LdeJ1 Theoretical Issues in Psychology Philosophy of Science and Philosophy of Mind for Psychologists.
Advertisements

Artificial intelligence COS 116, Spring 2012 Adam Finkelstein.
An Introduction to Artificial Intelligence Presented by : M. Eftekhari.
An Introduction to Artificial Intelligence. Introduction Getting machines to “think”. Imitation game and the Turing test. Chinese room test. Key processes.
A Brief History of Artificial Intelligence
Introduction to Cognitive Science Philosophy Nov 2005 :: Lecture #1 :: Joe Lau :: Philosophy HKU.
29-Jan-00 AI and Personhood AI proponents: a machine as complex as a brain would be as intelligent as a person maybe it would be a person. Hidden assumptions:
Class Discussion Chapter 2 Neural Networks. Top Down vs Bottom Up What are the differences between the approaches to AI in chapter one and chapter two?
The Mind, The Brain, Intelligence, and Cognition.
The Brain is Embodied and the Body is Embedded in the Environment Jeff Krichmar Department of Cognitive Sciences University of California, Irvine.
Language Universals. The Mind-Brain Debate Shorter Oxford English Dictionary (1973) mind is "the seat of consciousness, thoughts, volitions, and feelings",
1 12 September, 2000HKU Introduction to Cognitive Science COGN 1001 Schedule –11:40 – 12:30 –Tuesday: K. K. Leung Building, LG 102 –Thursday: K. K. Leung.
Overview and History of Cognitive Science
Overview and History of Cognitive Science. How do minds work? What would an answer to this question look like? What is a mind? What is intelligence? How.
COGN1001 Introduction to Cognitive Science Sept 2006 :: Lecture #1 :: Joe Lau :: Philosophy HKU.
PSY 369: Psycholinguistics A brief history. Psycholinguistics : A brief history Pre-psycholinguistics: The ancient Greeks: Noticed.
PSY 369: Psycholinguistics
RECURSIVE PATTERNS WRITE A START VALUE… THEN WRITE THE PATTERN USING THE WORDS NOW AND NEXT: NEXT = NOW _________.
Artificial Intelligence
3.11 Robotics, artificial intelligence and expert systems Strand 3 Karley Holland.
Fractal Composition of Meaning: Toward a Collage Theorem for Language Simon D. Levy Department of Computer Science Washington and Lee University Lexington,
Introduction to AI, H. Feili 1 Introduction to Artificial Intelligence LECTURE 1: Introduction What is AI? Foundations of AI The.
Introduction to AI Michael J. Watts
Artificial Intelligence CIS 479/579 Bruce R. Maxim UM-Dearborn.
The AI Challenge: Who are we? Images Copyright Twentieth Century Fox, Paramount, Sony;
Artificial Intelligence: Definition “... the branch of computer science that is concerned with the automation of intelligent behavior.” (Luger, 2009) “The.
Game AI Fundamentals. What is Artificial Intelligence (AI)? Not easy to answer… “Ability of a computer or other machine to perform those activities that.
1 Mathematical Institute Serbian Academy of Sciences and Arts, Belgrade DEUKS Meeting Valencia, September 9-11, 2008, Valencia New PhD modules proposal.
Modelling Language Evolution Lecture 5: Iterated Learning Simon Kirby University of Edinburgh Language Evolution & Computation Research Unit.
 Prominent AI Reseacher  Colleague of Alan Turing at Bletchley Park  1992 Paper: ◦ Turing’s Test and Conscious Thought Turing’s Test and Conscious.
Artificial Intelligence: Prospects for the 21 st Century Henry Kautz Department of Computer Science University of Rochester.
Artificial Intelligence Introductory Lecture Jennifer J. Burg Department of Mathematics and Computer Science.
Synesthesia: The Key to Understanding Language, Metaphor and Abstract Thought V. S. Ramachandran Center for Brain and Cognition University.
Emotions: a computational semiotics perspective Rodrigo Gonçalves, Ricardo Gudwin, Fernando Gomide Electrical and Computer Engineering School (FEEC) State.
A New Theory of Neocortex and Its Implications for Machine Intelligence TTI/Vanguard, All that Data February 9, 2005 Jeff Hawkins Director The Redwood.
For Friday Read chapter 27 Program 5 due.
For Friday Read chapter 27 Program 5 due. Program 5 Any questions?
For Friday Read chapter 27 Program 5 due. Program 5 Any questions?
Artificial Intelligence By Michelle Witcofsky And Evan Flanagan.
Autonomy and Artificiality Margaret A. Boden Hojin Youn.
The Science of Complexity J. C. Sprott Department of Physics University of Wisconsin - Madison Presented to the First National Conference on Complexity.
1 CS 2710, ISSP 2610 Foundations of Artificial Intelligence introduction.
Lecture 1: Introduction Heshaam Faili University of Tehran What is AI? Foundations of AI The History of AI State of the Art.
1. Describe how Kanzi’s communication skills fulfill each of the four critical properties of language. Kanzi used symbols to represent objects and actions.
Language A system of words and rules for combining words to communicate thoughts and feelings.
Interactive Quiz Game Select the correct answer of each number. Click the letter that best answer to the questions below.
PSY270 Michaela Porubanova. Language  a system of communication using sounds or symbols that enables us to express our feelings, thoughts, ideas, and.
Language: Why is it important?: A system of words and rules for.
Language: Why is it important?: embedded
SIMULATIONS, REALIZATIONS, AND THEORIES OF LIFE H. H. PATTEE (1989) By Hyojung Seo Dept. of Psychology.
From Mind to Brain Machine The Architecture of Cognition David Davenport Computer Eng. Dept., Bilkent University, Ankara – Turkey.
“The Internet and the English Language” by Terence Carter Presented by Michael Wilding.
Cognitive Psychology. Overview What is Cognitive Psychology? Study of HOW the mind works, not WHY we do what we do Focuses on the day-to-day functions.
Thinking About Psychology: The Science of Mind and Behavior Charles T. Blair-Broeker Randal M. Ernst.
Language and Intelligence
RULES Patty Nordstrom Hien Nguyen. "Cognitive Skills are Realized by Production Rules"
Cognitive Science Overview Introduction, Syllabus
Minds and Computers Discovering the nature of intelligence by studying intelligence in all its forms: human and machine Artificial intelligence (A.I.)
LANGUAGE AND REASONING IN HUMANS AND OTHER ANIMALS Tatiana Chernigovskaya St. Petersburg State University Part VI.
1 ARTIFICIAL INTELLIGENCE Gilles BÉZARD Version 3.16.
Intelligent Control Methods Lecture 2: Artificial Intelligence Slovak University of Technology Faculty of Material Science and Technology in Trnava.
Artificial Intelligence Hossaini Winter Outline book : Artificial intelligence a modern Approach by Stuart Russell, Peter Norvig. A Practical Guide.
Language. Importance of Language  Allows us to communicate what we feel or desire  We connect to other people  We share our experiences  25 things.
Language Objective: Student will: be able to identify the structural features of language be able to explain theories of language be able to explain stages.
Language: our spoken, written, or signed words & the ways we combine them to communicate meaning! “When we study language, we are approaching what some.
Thinking About Psychology: The Science of Mind and Behavior Charles T. Blair-Broeker Randal M. Ernst.
Artificial Life - An Overview
Automata, Formal Grammars, and Consequences
Language can be…...
Introduction to Artificial Intelligence Instructor: Dr. Eduardo Urbina
Presentation transcript:

The Fractal Beauty of Emergence: Re-EnVisioning Intelligence in Man and Machine Simon D. Levy Department of Computer Science Washington and Lee University Lexington, VA

Big Questions What makes us human?What makes us human? What keeps us from becoming more?What keeps us from becoming more? How do our metaphors hold us (and our artefacts) back? How do our metaphors hold us (and our artefacts) back?

What Makes Us Human? Soul / Spirit Soul / Spirit Emotion Emotion Consciousness Consciousness Intelligence Intelligence Language Language

Language Reference to distal objects/events Reference to distal objects/events Reference to (others’) beliefs Reference to (others’) beliefs Structure (syntax) Structure (syntax) Rule-governedRule-governed

Language : Nature or Nurture? - Acquisition automatic - Acquisition automatic - “Inexplicable” patterns across languages - “Inexplicable” patterns across languages - Trans-finite / recursive representations - Trans-finite / recursive representations Skinner (1940’s-50’s): Verbal Behavior Skinner (1940’s-50’s): Verbal Behavior Chomsky (50’s…): Universal Grammar Chomsky (50’s…): Universal Grammar

The Current Dogma Language is fundamentally digital (recursive, symbolic, rule-based) computationLanguage is fundamentally digital (recursive, symbolic, rule-based) computation Like the rest of human psychology, this computation is largely determined by biological evolution Like the rest of human psychology, this computation is largely determined by biological evolution Chomsky: Accidental, non-adaptive Chomsky: Accidental, non-adaptive Pinker: Survival value of communication Pinker: Survival value of communication

Emergence: Escaping the Nature/Nurture Dichotomy “Inexplicable” patterns across languages Language itself evolves adaptively Language itself evolves adaptively (Universal) patterns emerge under constraints of communication (Universal) patterns emerge under constraints of communication

Language as Emergence Sounds (phonemes) emerge as attractors in perception/action space [Browman / Goldstein / Studdert-Kennedy] Sounds (phonemes) emerge as attractors in perception/action space [Browman / Goldstein / Studdert-Kennedy] Universal syntactic patterns emerge from constraints on processing [Hurford / Kirby/ Batali] Universal syntactic patterns emerge from constraints on processing [Hurford / Kirby/ Batali]

Fractals: Structure Without Rules Fractal self-similarity mirrors self-similarity (embedding) in language… Trans-finite / recursive representations

... But I know, too,

That

the blackbird is involved in

what what

... But I know, too, That the blackbird is involved In what – Wallace Stevens I know.

Language as a Fractal Fractals can be directly implemented in neural-like networks [Tabor] Fractals can be directly implemented in neural-like networks [Tabor] Neural architectures can be “super- Turing” in power [Siegelmann] Neural architectures can be “super- Turing” in power [Siegelmann] Human language may be located on the fractal “edge of chaos” [Crutchfield / Young] : kind of rule-governed, kind of wild Human language may be located on the fractal “edge of chaos” [Crutchfield / Young] : kind of rule-governed, kind of wild

Implications for AI / Cog. Sci. Maybe our metaphors (not computing power) are what’s holding back human- like machine intelligenceMaybe our metaphors (not computing power) are what’s holding back human- like machine intelligence Possibility of a “Grand Unification” between the way we think about images / art and the way we think about computation / thought / language Possibility of a “Grand Unification” between the way we think about images / art and the way we think about computation / thought / language

Implications for Transhumanism Dogma of biologically determined, hard- wired digital brains / computers loses appeal.Dogma of biologically determined, hard- wired digital brains / computers loses appeal. Humans are “natural-born cyborgs” [Clark] whose tools co-evolve adaptively with human wetware and environment. Humans are “natural-born cyborgs” [Clark] whose tools co-evolve adaptively with human wetware and environment.