Thinking Computers Varol Akman Bilkent University Computer Engineering and Philosophy 6 April 2005 Boğaziçi University Cognitive Sciences Graduate Program.

Slides:



Advertisements
Similar presentations
Turing’s Test, Searle’s Objection
Advertisements

PET (Preliminary English Test) Speaking Guide
The Subject-Matter of Ethics
Summer 2011 Tuesday, 8/ No supposition seems to me more natural than that there is no process in the brain correlated with associating or with.
LAST LECTURE. Functionalism Functionalism in philosophy of mind is the view that mental states should be identified with and differentiated in terms of.
EECS 690 April 18. Child-machines In Alan Turing’s landmark paper, he defined ‘machine’ rather rigidly so to prevent male/female “engineering teams” from.
Artificial intelligence. I believe that in about fifty years' time it will be possible, to programme computers, with a storage capacity of about 10.
WHAT TO EXPECT FROM JUDGES AND HOW TO PREPARE FOR JUDGING DAY. Preparing for the Judges.
PHILOSOPHY 100 (Ted Stolze) Notes on James Rachels, Problems from Philosophy.
Cooley’s Human Nature & The Social Order Part I Presented by Tina Quicoli.
A Brief History of Artificial Intelligence
Communication Skills Seminar Boğazıçı University April 22, 2004 Tom Atkinson.
Interactive Artifacts. Shared Understanding & Mutual Intelligibility Defines the field of social studies – Interpreting the actions of others – Goal is.
UNDERSTANDING THE WHY OF CHALLENGING BEHAVIOR: THROUGH COLLABORATIVE PROBLEM SOLVING (CPS) MODEL (GREENE 2008): Explosive Child Ross W. Greene, Ph.D.
Module 14 Thought & Language. INTRODUCTION Definitions –Cognitive approach method of studying how we process, store, and use information and how this.
Turing’s Paper Can Machines Think? Freshman Inquiry Cyber Millenium.
The Cosmological Argument. This is an a posteriori argument There are many versions of it It is based on observation and understanding of the universe.
The Turing Test What Is Turing Test? A person and a computer, being separated in two rooms, answer the tester’s questions on-line. If the interrogator.
Approaches to AI. Robotics Versus Artificial Intelligence.
CS 357 – Intro to Artificial Intelligence  Learn about AI, search techniques, planning, optimization of choice, logic, Bayesian probability theory, learning,
TURNING EMPIRICAL TESTS FOR “THOUGHT” ?. Alan Turing (1912 – 1954) Mathematician Created concept of computation before computers Code breaker War hero.
Constructivism Constructivism — particularly in its "social" forms — suggests that the learner is much more actively involved in a joint enterprise with.
COMP 3009 Introduction to AI Dr Eleni Mangina
Turing Test & Intelligence. Turing’s Goal Alan Turing, Computing Machinery and Intelligence, 1950: Can machines think? Can machines think? How could we.
Results from Meditation 2
How to be a GOOD Writer and Speaker. “I don’t like school!” “Okay. Why not?” “I just don’t.” “I know, but is there a particular reason?” “School is stupid.”
Spelling Lists. Unit 1 Spelling List write family there yet would draw become grow try really ago almost always course less than words study then learned.
Philosophical Foundations Chapter 26. Searle v. Dreyfus argument §Dreyfus argues that computers will never be able to simulate intelligence §Searle, on.
Test Taking Tips How to help yourself with multiple choice and short answer questions for reading selections A. Caldwell.
Essay Writing in Philosophy
Robots By Erik Brandt Asimo from Honda Robots in General Are machines that are also independent beings Are especially made for doing jobs too boring,
BERKELEY’S CASE FOR IDEALISM (Part 2 of 2)
CSCI 4410 Introduction to Artificial Intelligence.
Chapter 6: Objections to the Physical Symbol System Hypothesis.
Turing Test and other amusements. Read this! The Actual Article by Turing.
Cognitive Development I. What is Cognition? Knowing It involves: attending remembering symbolizing categorizing planning reasoning problem solving creating.
Jean Piaget & Cognitive Psychology
Difficult Conversations WA Equal Justice Community Leadership Academy.
Artificial Intelligence Introductory Lecture Jennifer J. Burg Department of Mathematics and Computer Science.
Elements of Voice It’s not necessary to think about every little trick and technique of voice, but it is helpful to know that they exist.
Jim Fay and David Funk – Tracy and Gyseka
Bloom County on Strong AI THE CHINESE ROOM l Searle’s target: “Strong AI” An appropriately programmed computer is a mind—capable of understanding and.
Half a Century with QUARKS! Vladimir A. Petrov, Institute for High Energy Physics, Protvino Vladimir A. Petrov, Institute for High Energy Physics, Protvino.
The “Early Years Opportunity” Relationship and Serve and Return Interactions 1.
How Solvable Is Intelligence? A brief introduction to AI Dr. Richard Fox Department of Computer Science Northern Kentucky University.
© 2008 The McGraw-Hill Companies, Inc. Chapter 8: Cognition and Language.
Philosophy 4610 Philosophy of Mind Week 8: Can a Computer Think?
Introduction to Philosophy Lecture 14 Minds and Bodies #3 (Jackson) By David Kelsey.
Announcements Turn your papers into your TA. There will be a review session on Wednesday June 11 at 5-7 PM, in GIRV Final exam is Friday June 13.
Section 2.3 I, Robot Mind as Software McGraw-Hill © 2013 McGraw-Hill Companies. All Rights Reserved.
University of Windsor School of Computer Science Topics in Artificial Intelligence Fall 2008 Sept 11, 2008.
The Turing Test Minds & Machines. Alan Turing British mathematician known for: –Turing Machines (1936) –Breaking German Enigma (WWII) –Turing Test (1950)
COMMUNICATION SUCCESS IS MEASURED BY THE WAY THAT WE COMMUNICATE INTERNALLY AND EXTERNALLY.
Rules, Movement, Ambiguity
Definitions of AI There are as many definitions as there are practitioners. How would you define it? What is important for a system to be intelligent?
A Conversation Between an Agnostic and a Christian (Con’t)
What is Artificial Intelligence?
The Allegory of the Cave
Modernism – a movement in art and literature that occurred around the time immediately before and during the First and Second World Wars. Among the factors.
First Language Acquisition
A Brief History of AI Fall 2013 COMP3710 Artificial Intelligence Computing Science Thompson Rivers University.
Philosophy 1050: Introduction to Philosophy Week 13: AI in the Real World and Review.
March 12, 2016 Collette Gallegos & Evelyn Balestra.
 Communication Barriers. Learning Goals  5. I will be able to explain obstacles/barriers to effective communication  6. I will be able to suggest ways.
Artificial Intelligence Skepticism by Josh Pippin.
AI and Communication N’JEMA MCINTYRE AND JOEY BEAULIEU.
Topics Beyond the imitation game Reading the web Turing test
PHILOSOPHY 100 (Ted Stolze)
Course Instructor: knza ch
The Turing Test Minds & Machines.
Presentation transcript:

Thinking Computers Varol Akman Bilkent University Computer Engineering and Philosophy 6 April 2005 Boğaziçi University Cognitive Sciences Graduate Program

Donald Davidson ( ) Carried forward the (late) Wittgensteinian notion that social interaction and exchange are the basis of knowledge Carried forward the (late) Wittgensteinian notion that social interaction and exchange are the basis of knowledge Challenged the (Cartesian) view that an individual mind could know about the world all by itself Challenged the (Cartesian) view that an individual mind could know about the world all by itself

Tom Nagel on Davidson Descartes Descartes We understand ourselves better than the rest of the world, and we have to construct the objective reality outside of ourselves We understand ourselves better than the rest of the world, and we have to construct the objective reality outside of ourselves Davidson really tried to reverse that: Davidson really tried to reverse that: Understanding ourselves depends on understanding we are part of a real world in communication with others Understanding ourselves depends on understanding we are part of a real world in communication with others

Davidson’s conclusion [An artifact, e.g., a computer] thinks only if its thinking can be understood by a human interpreter, and this is possible only if the artifact physically resembles a person in important ways, and has an appropriate history. [An artifact, e.g., a computer] thinks only if its thinking can be understood by a human interpreter, and this is possible only if the artifact physically resembles a person in important ways, and has an appropriate history. - D. Davidson (1990): Turing’s Test

Turing’s Test (TT) Due to Alan Turing (1950): Computing Machinery and Intelligence Due to Alan Turing (1950): Computing Machinery and Intelligence A computer thinks if it can consistently beat a human opponent in an imitation game A computer thinks if it can consistently beat a human opponent in an imitation game

Shifting attitude An operational test (quacks like a duck & walks like a duck  a duck!) An operational test (quacks like a duck & walks like a duck  a duck!) Can a computer think? Can a computer think? (Turing believed the word ‘think’ cannot be meaningfully applied to machines) Under what circumstances would a computer be mistaken for a person? Under what circumstances would a computer be mistaken for a person?

The imitation game Two contestants (one human, one computer): H and C Two contestants (one human, one computer): H and C One judge (human): J One judge (human): J H & C are hidden from J but can communicate with him by exchanging messages H & C are hidden from J but can communicate with him by exchanging messages J types out questions addressed to H & C J types out questions addressed to H & C

The imitation game cont. J is placed before two terminals J is placed before two terminals H tries to convince J that he is human, while C does likewise (tries to convince J that it is human) H tries to convince J that he is human, while C does likewise (tries to convince J that it is human) If the judge cannot regularly identify the computer, the computer is declared a thinker If the judge cannot regularly identify the computer, the computer is declared a thinker

Recap If J cannot tell the difference between the conversation with the other person (H) and the conversation with the machine (C), then C is thinking If J cannot tell the difference between the conversation with the other person (H) and the conversation with the machine (C), then C is thinking Note: no restriction on the topic of conversation (all possible areas of human concern) Note: no restriction on the topic of conversation (all possible areas of human concern)

Recap cont. The insight underlying TT is the same insight that inspires the new practice among symphony orchestras of conducting auditions with an opaque screen between the jury and the musician. The insight underlying TT is the same insight that inspires the new practice among symphony orchestras of conducting auditions with an opaque screen between the jury and the musician. - Dan Dennett (1985)

Game format Instructions to J: Instructions to J: One of these terminals is connected to a person, the other to a computer One of these terminals is connected to a person, the other to a computer You have t minutes (e.g., 5, according to Turing) to chat with them through these terminals and to determine which is which You have t minutes (e.g., 5, according to Turing) to chat with them through these terminals and to determine which is which

Causal connections J is ignorant of the physical traits of C J is ignorant of the physical traits of C But J must know it is H & C that are physically responsible for the symbol sequences observed in the terminals (that is, they have the causal capacity to produce these texts) But J must know it is H & C that are physically responsible for the symbol sequences observed in the terminals (that is, they have the causal capacity to produce these texts)

The Yogi Berra method You can observe a lot just by watching You can observe a lot just by watching Is it a man or a woman? Is it a man or a woman? also by being told (if I can’t see it), etc. also by being told (if I can’t see it), etc. I’m determining whether it thinks without inspecting what it thinks I’m determining whether it thinks without inspecting what it thinks

A sufficient condition In TT, meaningful verbal responses are regarded as the ‘mark’ of thought In TT, meaningful verbal responses are regarded as the ‘mark’ of thought Should language be a prerequisite for mentality? Should language be a prerequisite for mentality? Maybe there are other sufficient criteria for thought (but let’s put that aside in this talk) Maybe there are other sufficient criteria for thought (but let’s put that aside in this talk)

The modified TT Remove H from the experimental set-up (all kinds of hacks can be -- and to some extent, have been -- designed to fool J for 5 minutes) Remove H from the experimental set-up (all kinds of hacks can be -- and to some extent, have been -- designed to fool J for 5 minutes) More importantly, regard C as a thinking thing even if we can distinguish it from H without much effort More importantly, regard C as a thinking thing even if we can distinguish it from H without much effort

Shifting goal How good is a computer in imitating the verbal behavior of a person? How good is a computer in imitating the verbal behavior of a person? What are J’s criteria for the presence of thought? In other words, is the object (O) thinking? What are J’s criteria for the presence of thought? In other words, is the object (O) thinking?

‘Speaking’ English O produces answers in English in response to J’s questions in English O produces answers in English in response to J’s questions in English But how can J make sure that O understands English? But how can J make sure that O understands English? Right syntax Right syntax Relevant (à la Sperber & Wilson?) answers Relevant (à la Sperber & Wilson?) answers Autonomy Autonomy

Caveat re syntax On my naming day when I come 12 I gone front spear and kilt a wyld boar he parbly ben the last wyld pig on the Bunder Downs any how there hadnt ben none for a long time befor him nor I aint looking to see none agen. On my naming day when I come 12 I gone front spear and kilt a wyld boar he parbly ben the last wyld pig on the Bunder Downs any how there hadnt ben none for a long time befor him nor I aint looking to see none agen. - Russell Hoban, Riddley Walker

Caveat re syntax cont. The fall (bababadalgharaghtakamminarronnkonnbronntonnerron ntuonnthunntrovarrhounawnskawntoohoohoordenenthur nuk!) of a once wallstrait oldparr is retaled early in bed and later on life down through all christian minstrelsy. The great fall of the offwall entailed at such short notice the pftjschute of Finnegan, erse solid man, that the humptyhillhead of humself prumptly sends an unquiring one well to the west in quest of his tumptytumtoes: and their upturnpikepointandplace is at the knock out in the park where oranges have been laid to rust upon the green since devlinsfirst loved livvy. The fall (bababadalgharaghtakamminarronnkonnbronntonnerron ntuonnthunntrovarrhounawnskawntoohoohoordenenthur nuk!) of a once wallstrait oldparr is retaled early in bed and later on life down through all christian minstrelsy. The great fall of the offwall entailed at such short notice the pftjschute of Finnegan, erse solid man, that the humptyhillhead of humself prumptly sends an unquiring one well to the west in quest of his tumptytumtoes: and their upturnpikepointandplace is at the knock out in the park where oranges have been laid to rust upon the green since devlinsfirst loved livvy. - James Joyce, Finnegans Wake

Semantics of O J has no idea re the semantics of O, i.e., words that appear on J’s screen and events/things in the world J has no idea re the semantics of O, i.e., words that appear on J’s screen and events/things in the world Maybe the (apparent) semantics was provided by someone who had originally programmed O Maybe the (apparent) semantics was provided by someone who had originally programmed O In this case, O is not really thinking! In this case, O is not really thinking!

Semantics of O cont. To see whether O has any semantics, J must study the connection between O’s sentences and the world (W) To see whether O has any semantics, J must study the connection between O’s sentences and the world (W) J would like to know how O’s responses are in agreement with events and things in the world known to J J would like to know how O’s responses are in agreement with events and things in the world known to J In short, we need to locate intelligence yet the invisible computer poses problems In short, we need to locate intelligence yet the invisible computer poses problems

Naïve physics Formulate little thought experiments about the physics of daily life (naïve physics) Formulate little thought experiments about the physics of daily life (naïve physics) J says to O: J says to O: You are given a shoestring and a children’s truck. Can you pull the truck using the string? Can you push it? Tell me how You are given a shoestring and a children’s truck. Can you pull the truck using the string? Can you push it? Tell me how This way there is no need to observe O interact with the world; there is no need for a body either This way there is no need to observe O interact with the world; there is no need for a body either

Watching O Permit J to observe O interact with W Permit J to observe O interact with W  MAJOR CHANGE IN VIEW!  MAJOR CHANGE IN VIEW! 3-way interaction between J, O, and a shared world W (consisting of mutually observed events, things, etc.) 3-way interaction between J, O, and a shared world W (consisting of mutually observed events, things, etc.) The triangle is formed of the individual, all other people, and the nonhuman universe The triangle is formed of the individual, all other people, and the nonhuman universe Are O’s physical characteristics crucial? Are O’s physical characteristics crucial?

Body matters O must be able respond to a large proportion of the world features that can be noted by J O must be able respond to a large proportion of the world features that can be noted by J It must be possible for J to notice (e.g., see) that O is sensitive to those features of W and that it is responding appropriately It must be possible for J to notice (e.g., see) that O is sensitive to those features of W and that it is responding appropriately

Weasley’s warning Never trust anything that can think for itself if you can’t see where it keeps its brain. Never trust anything that can think for itself if you can’t see where it keeps its brain. - J.K. Rowling Harry Potter and the Chamber of Secrets

Indistinguishability How much like a person O must be to have thoughts? How much like a person O must be to have thoughts? This is probably not easily answerable This is probably not easily answerable Maybe too much difference puts limits on the possibility of communication (an elephant vs. an ant?) Maybe too much difference puts limits on the possibility of communication (an elephant vs. an ant?)

Indistinguishability cont. Mobility, size, sense organs Mobility, size, sense organs Displaying emotions Displaying emotions Surely, thoughtfulness is a matter of degree: Surely, thoughtfulness is a matter of degree:Newborn Developing child Developing child Adult Adult

Augmentors Any mismatch between J and O re sensitivity to the features of W can be resolved by O, if it is indeed clever Any mismatch between J and O re sensitivity to the features of W can be resolved by O, if it is indeed clever The obvious way for O to accomplish this is to use sensitivity augmentors The obvious way for O to accomplish this is to use sensitivity augmentors A microscope is a sensitivity augmentor A microscope is a sensitivity augmentor A telescope is also a sensitivity augmentor A telescope is also a sensitivity augmentor You get the idea You get the idea

Histoire d’O “… is a cat” & “… is a mat” are usually held as a result of experiences with real cats & mats (how about “is a unicorn”?) “… is a cat” & “… is a mat” are usually held as a result of experiences with real cats & mats (how about “is a unicorn”?) The cats are on the mat The cats are on the mat That’s a cat That’s a cat That’s a mat That’s a mat

Histoire d’O cont. Q: Where are the cats? A: The cats are on the mat Reasonable assumption: Reasonable assumption: In the history of O, a knowledge of cats, mats, and the notion of being-on-something played role In the history of O, a knowledge of cats, mats, and the notion of being-on-something played role But does O mean anything with A? But does O mean anything with A?

Histoire d’O cont. Just think: Just think: Can you remember the French Revolution? Can you remember the French Revolution? Do you know Robespierre? Do you know Robespierre? (no matter how much you have learned about these in HIST 101) It is unclear just what is necessary (a history of causal interactions?) It is unclear just what is necessary (a history of causal interactions?)

Conclusion (EMBODIMENT) … the importance to genuine understanding of a rich and intimate perceptual interconnection between an entity and its surrounding world -- the need for something like eyes and ears -- and a similarly complex active engagement with elements in that world -- the need for something like hands with which to do things in that world. … the importance to genuine understanding of a rich and intimate perceptual interconnection between an entity and its surrounding world -- the need for something like eyes and ears -- and a similarly complex active engagement with elements in that world -- the need for something like hands with which to do things in that world. - Dan Dennett (1985)

Conclusion (HISTORY) … only a biography of sorts, a history of actual projects, learning experiences, and other bouts with reality, could produce the sorts of complexities (both external, or behavioral, and internal) that are needed to ground a principled interpretation of an entity as a thinking thing… … only a biography of sorts, a history of actual projects, learning experiences, and other bouts with reality, could produce the sorts of complexities (both external, or behavioral, and internal) that are needed to ground a principled interpretation of an entity as a thinking thing… - Dan Dennett (1985)

Pictures from MIT Humanoid Robotics Group

Coco Rodney Brooks (MIT)

Cog

Genghis

Hannibal

Kismet disgusted happyinterested sad surprised