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Bridging Artificial Intelligence, Psychometrics, and Economics: New Theory of Intelligence & Rationality Selmer Bringsjord and Bettina Schimanski “A Science Based Approach to Decision-Making” Co-sponsored by the Dept. of Economics and the Dept. of Cognitive Science Friday, November 21, 2003

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Bridging artificial intelligence psychometrics and economics new theory of intelligence rationality l.jpg

Bridging Artificial Intelligence, Psychometrics, and Economics: New Theory of Intelligence & Rationality

Selmer Bringsjord and Bettina Schimanski

“A Science Based Approach to Decision-Making”

Co-sponsored by the Dept. of Economics and

the Dept. of Cognitive Science

Friday, November 21, 2003


A new kind of ai l.jpg
A New Kind of AI Economics: New Theory of Intelligence & Rationality

An Answer To: What is AI?

  • Not an easy question to answer.

  • Assume the ‘A’ part is easy: we know what an artifact is. (Webster: “Something created by humans usually for a practical purpose.”)

  • There is no agreement on what human intelligence is.

    • Two notorious conferences. See The g Factor.

  • But we can agree that one great success of psychology is testing, and prediction on the basis of it. (The Big Test)


Psychometric artificial intelligence l.jpg
Psychometric Artificial Intelligence Economics: New Theory of Intelligence & Rationality

  • AI is, or at least ought to be, PAI. (pronounced “Pi”, rhymes with )

  • PAI offers a simple but radical answer:

    • (Naïve definition): AI is the field devoted to building intelligent artificial agents, i.e., agents capable of solid performance on intelligence tests.

  • Don’t confuse with: “Some human is intelligent…”


Psychometric ai is not completely new l.jpg
Psychometric AI is not completely new Economics: New Theory of Intelligence & Rationality

  • Early roots: PAI was implicitly entertained with Evan’s 1968 ANALOGY program

  • However, PAI cannot be based on tests which consist solely of geometric analogies


Other roots l.jpg
Other roots Economics: New Theory of Intelligence & Rationality

  • Alan Newell’s 1973 “You Can’t Play 20 Questions With Nature and Win”

    • Does mention briefly possible PAI origins before his conclusion

    • “.. An alternative mold for such a task is to construct a single program that would take a standard intelligence test, say the WAIS or the Stanford-Binet.”


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Improved Definition of PAI Economics: New Theory of Intelligence & Rationality

  • Psychometric AI is the field devoted to building information-processing entities capable of at least solid performance on all established, validated tests of intelligence and mental ability, a class of tests that includes IQ tests, tests ofreasoning, of creativity, mechanical ability, and so on.


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Broad Test: WAIS Economics: New Theory of Intelligence & Rationality

Wechsler Adult Intelligent Scale

WAIS includes many sub-tests

  • The Comprehension sub-test is so difficult it could be a motivator for the original CYC dream

  • Deals with ordinary conversation

Block Design

- PERI has already cracked this

Picture Arrangement

- Deals with many mental facets

PERI should specifically solve all of the WAIS

- From there, we move to all other established tests

Ex: “Why are the tires of automobiles made of rubber, rather than, say, plastic?”


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PAI (continued) Economics: New Theory of Intelligence & Rationality

  • A full defense of PAI is beyond the scope of this short presentation, but that defense includes analysis of competing answers.

  • One such main competing answer is due to Stuart Russell’s work on formal accounts of rationality from the perspectives of AI and economics.


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Rationality and Intelligence Economics: New Theory of Intelligence & Rationality

  • “Productive research in AI, both practical and theoretical, benefits from a notion of intelligence that is precise enough to allow the cumulative development of robust systems and general results. The concept of rational agency has long been considered a leading candidate to fulfill this role”.


Slide10 l.jpg

The agent receives percepts from the different environments and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the value of the agent.

Figure from Stuart Russell’s Rationality and Intelligence ’02.


Rationality l.jpg
Rationality and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the

  • Perfect Rationality

  • Calculative Rationality

  • Bounded Rationality

  • Asymptotic Bounded Rationality


Perfect rationality l.jpg
Perfect Rationality and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the

The capacity to generate maximally successful behavior given the available information.

Fundamental inputs include:

E = the environment class in which the agent is to operate

U = the performance measure

V(f,E,U) = the expected value according to U obtained by an agent function f in environment class E.

Then a perfectly rational agent is defined by an agent function fopt such that:

This is just a fancy way of saying that the best agent does the best it can.


Calculative rationality l.jpg
Calculative Rationality and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the

The in-principle capacity to compute the perfectly rational decision given the initially available information.

Calculative rationality is displayed by programs that, if executed infinitely fast, would result in perfectly rational behavior.

Unlike perfect rationality, calculative rationality is a requirement that can be fulfilled by many real programs.

On the other hand, calculative rationality is not necessarily a desirable property.


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Bounded Optimality (BO) and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the

The capacity to generate maximally successful behavior given the available information and computational resources.

Fundamental Inputs include:

Agent(p,M) = the agent function implemented by the program p running on machine M

PM = finite set of all programs that can be run on M

Therefore the bounded optimal program popt is defined by:

Simply put, this is the notion of finding the program that generates the optimal feasible solution given the environment class E and performance measure U.


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Objection and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the

  • Bounded Optimality limits R&D to the here and now.

  • We want to be able to analyze and achieve successful results irrespective of the limitations of computers today.

Compare describing the running time of algorithms in terms of the O( ) notation (i.e. Big O). This provides a way to describe the complexity independent of machine speeds and implementation details. For this reason we investigate Asymptotic Bounded Rationality.


Asymptotic bounded optimality abo l.jpg
Asymptotic Bounded Optimality (ABO) and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the

where kM denotes a version of M speeded up by a factor of k (or with k times more memory) and V*(f, E, U, n) is the minimum value of V(f, E, U) for all e E of complexity n.

This means that the program is basically along the right lines if it just needs a better (i.e. faster or larger) machine to have worst-case behavior as good as that of any other program in all environments.


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More Objections and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the

  • Russell’s approach is based on his view that intelligence consists of making changes to an environment external to the agent.

  • Problem: A mind able to think about things intelligently, independent of making changes in an external environment, might not only be intelligent but perhaps in fact ingenious?


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Our Theory and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the

Environment classes correspond to those for each sub-test.

The performance measure is the grading of the results of the test.

The utility is the score.

Top loop of diagram corresponds to agent taking the test.


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Our approach in terms of Bounded Optimality and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the

  • For PAI, one might say you cannot tackle a particular test with, say, a 22-state machine.

  • But such a restriction might well preclude getting at the “essence” of a test – or at the essence of what a test is a portal to.

  • Our view of intelligence / rationality is therefore, in general, calculative.


Psychometric experimental robotic intelligence peri l.jpg
Psychometric Experimental and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the Robotic Intelligence (PERI)

  • Scorbot-ER IX

  • Sony B&W XC55 Video Camera

  • Cognex MVS-8100M Frame Grabber

  • Dragon Naturally Speaking Software

  • NL (Carmel & RealPro?)

  • BH8-260 BarrettHand Dexterous 3-Finger Grasper System


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Future work with PERI and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the

  • Thwarting Terrorism

    • Picture Arrangement sub-test of WAIS

  • Natural Language Processing and Generation

  • Vision (Interpretation)


Narratological reasoning thwarting terrorism l.jpg
Narratological Reasoning & Thwarting Terrorism… and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the

  • Terrorists struggle to make stories real.

  • Their behavior can be anticipated, and thus

  • thwarted.

  • We need computers that can imagine future

  • events in a (twisted) narrative.

  • Threat anticipation (Picture Arrangement)

    • Predictive power done quickly ….


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RAIR Web and R&D and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the

Advanced Synthetic Characters

MARMML

PERI

Savant

PAI

Slate

CDs

Super Teaching


Questions l.jpg
Questions? and generates a behavior or result that in turn causes the environment to generate a state history. The performance measure evaluates the state history to arrive at the

  • For more detailed inquiries, visit our webpage:

    • http://www.cs.rpi.edu/~schimb/peri


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