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Psychometric AI > Presentations and Demos

2005 July 19

Poised-For Learning: Learning by Reading (Diagrams)
DARPA
Selmer Bringsjord, Bettina Schimanski, Gabriel Mulley
PPT PowerPoint presentation (.ppt, 3.68 MB)
WMV Windows movie, full presentation (.wmv, 23.1 MB)
WMV Windows movie, condensed presentation (.wmv, 2.58 MB)

2005 May 19

Psychometric AI: A Test-based Approach to Engineering Comprehensive Cognitive Systems
2005 Cognitive Systems Conference, Arlington, VA
Bettina Schimanski
PDF Adobe PDF file, poster version (.pdf, 3.39 MB)

2005 February 4

How to Build Smart Machines: Relax "Smart" Or Pray
RPI, Troy, NY -- 4101 Sage Lab. Building
Selmer Bringsjord
Selmer Bringsjord, Professor of Philosophy and Computer Science and Chair of the Department of Cognitive Science at Rensselaer Polytechnic Institute and creator of BRUTUS a story telling smart machine, argues that the meaning of 'smart' is dizzyingly elastic. For some, ants are smart. For others, those who can't handle higher mathematics aren't smart, and of course this criterion rules out not only ants, but most homo sapiens. If we're not too discriminating when it comes to this term, Professor Bringsjord argues that we can safely say that building smart machines is doable and that, in fact, he has done it. On the other hand, if by 'smart' we mean to point to those mental powers possessed by human persons, smart machines can't be built -- unless the Almighty helps us!
MOV QuickTime movie (.mov, 31.8 MB)
WMV Windows movie (.wmv, 25.8 MB)

2004 October 23

"Pulling It All Together" via Psychometric AI
Arlington, VA (AAAI Fall 2004 Symposium Series)
Selmer Bringsjord, Bettina Schimanski
PPT PowerPoint presentation (.ppt, 2.98 MB)

2004 September 1

Can Cognitive Science Survive the Advent of Hypercomputation?
RPI, Troy, NY -- 4101 Sage Lab. Building
Selmer Bringsjord
(Cognitive Science Society Online Lecture 5/21/04)
Though exact definitions are hard to come by, there is little doubt that cognitive science is a field devoted to understanding (and perhaps simulating, and even maybe replicating) sophisticated cognition in computation. This has been the case since the field was born, and present-day leaders are carrying the original torch (e.g., today John Anderson sustains Newell's computationalist dream to capture all of human cognition in computation, as a recent BBS target article by JA makes plain). But a revolution is underway outside cognitive science: A mode of information processing radically more powerful than ordinary computation. *hyper*computation -- has now been specified, and is well-understood. This revolution has so far been located in logic, math, theoretical computer science, and technical philosophy. In light of hypercomputation, what is the status of old-style cognitive science stemming back to Simon and Newell and others? Can the old-style cog sci survive? *Should* it survive? And the recent turn toward embodied cog sci, is that *also* threatened by hypercomputation? Is there a new kind of cognitive science that should be devised, and pursued? In this talk, I answer these questions, respectively, as: It's dying; No; No; Yes; Yes. I explain along the way that if cognitive scientists had faced up to the original negative theorems about the limits of standard computation discovered by the likes of Turing, the turbulence the field must now go through could have been avoided. I also offer concrete suggestions for how to pursue cognitive science from the hypercomputational standpoint, which involves treating minds as what I call *super*minds.

2004 June 30

Toward Two New Abilities for PERI: Object Assembly and Picture Arrangement (sub-tests from the WAIS)
RPI, Troy, NY -- Walker 5113
Selmer Bringsjord, Bettina Schimanski
We report on our development of two new, preliminary algorithm-sketches that will eventually be implemented in the robot PERI (www.cogsci.rpi.edu/peri): one for the Object Assembly sub-test on the WAIS IQ test, and one for the Picture Arrangement sub-test on the same IQ test. (As you may know, PERI is destined to be the smartest robot on the planet.) In Object Assembly, one is given pieces of a physical representation of an everyday object (e.g., an elephant), without knowing what the object is -- and you must assemble the pieces to reveal the mystery object. In Picture Arrangement (which some of you may have seen before), one is given, on pieces of cardboard, jumbled snapshots of a story -- and you must arrange the pieces so as to make a coherent story.

2003 November 21

Bridging Artificial Intelligence, Psychometrics, and Economics: New Theory of Intelligence & Rationality
RPI, Troy, NY -- Heffner Alumni House
Selmer Bringsjord, Bettina Schimanski
PPT PowerPoint presentation (.ppt, 4.56 MB)

2003 August 15

What is Artificial Intelligence? Psychometric AI as an Answer
Acapulco, MX (IJCAI '03)
Selmer Bringsjord, Bettina Schimanski
PPT PowerPoint presentation (.ppt, 9.01 MB)

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