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Technical Session # 5 Learning at
The First Conference on Artificial General Intelligence (AGI-08) 1-3 March 2008
Israel Gottlieb presents Participating in Cognition: The Interactive Search Optimization Algorithm by Nadav Abkasis, Israel Gottlieb, and Eliraz Itzchaki of Department of Computer Science, Jerusalem College of Technology, Israel
1. Artificial General Intelligence (AGI) dealing with new situations,
2. Plans/Results for the Interactive Search Optimization Algorithm,
Adversarial Sequence Prediction by Bill Hibbard of University of Wisconsin
3. Predators vs. Evaders - Adversarial Sequence Prediction,
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning by Brian Milch of MIT Computer Science and Artificial Intelligence Laboratory
4. Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning,
A Computational Approximation to the AIXI Model by Sergey Pankov from Florida State University.
5. AIXI Overview - Sergey Pankov,
Matthew Taylor presents Transfer Learning and Intelligence: an Argument and Approach
by Matthew Taylor , Gregory Kuhlmann , and Peter Stone of Learning Agents Research Group, Department of Computer Science , University of Texas at Austin
6. Matthew Taylor presents Transfer Learning and Intelligence
mosaic_learn_agi08
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning by Brian Milch of MIT Computer Science and Artificial Intelligence Laboratory
Data to Learn From:
- Text?
- Experience of physical or virtual robots
- Multimodal data on the Web
in Technical Session # 5: Learning chaired by J. Storrs Hall at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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Simon Levy presents Vector Symbolic Architectures: A New Building Material for Artificial General Intelligence by Simon Levy of Washington and Lee University and Ross Gayler
(I'd like to take a class from Simon Levy, he is a great teacher from what I could see. Sorry that the photo is poor of him here, but this particular slide mad me think and do quite a bit of homework to increased my understanding of this topic.)
The Need for New Representational Principles
(My notes on this, please feel free to add or clarify anything I have said, it is just my [poor] understanding.)
- Ecological Affordance introduced by James J. Gibson (1979), The Ecological Approach to Visual Perception (an interesting sidebar - this was about the last thing that Gibson published before his death in 1979 at age 75.) A number of his writings are on-line, published as the Purple Perils
- Distributed Connectionist Representations (PDP - which is Parallel Distributed Processing was the start of Connectionism I had colleagues who did research in this area in the early 1990s, at the time I was not as curious as I could have been, being wrapped up in some completely different projects. Now - I have begun to tie it together, funny how that works! The classic work was done by James McClelland, David Rumelhart and the PDP Research Group. They wrote a two volume book: Parallel Distributed Processing: Explorations in the Microstructure of Cognition in 1986)
Holographic Representations Dennis Gabor 1971 and Plate 2003
I probably went down a related area with Karl Pribram's Holonomic brain theory but I need to do some more research about this.
Fractals Attractors Dynamical Systems Tabor 2000 , Levy and Pollack 2001
For a good introduction see Dynamical & Evolutionary Machine Organization part of Jordan Pollack's research at Brandeis University.
In Technical Session # 7: Neural Network and Brain Modeling
Session Chair: Randal Koene , Laboratory of Computational Neurophysiology, Center for Memory and Brain, Boston University at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction Pei Wang
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The First Conference on Artificial General Intelligence (AGI-08) 1-3 March 2008
This room is The Zone, at the FedEx Institute of Technology, University of Memphis.
1. FedEx Institute of Technology, University of Memphis, 2. Panel Discussion Technical Session I: Overview of AGI Research, 3. Speakers view at The First Conference on Artificial General Intelligence (AGI-08), 4. Panel for Architecture of AGI Systems, 5. Panel Technical Session # 3: Language and Cognition, 6. Audience Interaction with Panel Technical Session # 3: Language and Cognition, 7. Panel for Technical Session # 4 : Reasoning, 8. Audience Interaction Technical Session # 4 : Reasoning, 9. Panel for Technical Session # 5: Learning, 10. Asking a Question at AGI-08 Conference, 11. Panel for Technical Session # 6: Virtually Embodied AI, 12. Dave Baldwin asks a question, 13. Should there be an AGI organization?, 14. Matthew Ikle asking a tough question during Artificial General Intelligence (AGI) Renaissance Discussion, 15. Panel for Technical Session # 7: Neural Network and Brain Modeling
mosaic_panel_agi08_1
The Zone, at the FedEx Institute of Technology , University of Memphis. It was a very good venue for at the The First Conference on Artificial General Intelligence (AGI-08)
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Benjamin Johnston presents: Comirit: Commonsense Reasoning by Integrating Simulation and Logic by Benjamin Johnston and Mary-Anne Williams is Research Professor and Director of the Innovation and Technology Research Laboratory. at The University of Technology, Sydney, Australia
The motivation for this work is to produce a middleware with real-world commonsense reasoning. The motivation is the failure of current logical commonsense reasoning systems.
in Technical Session # 4 : Reasoning chaired by Steve Omohundro of Self-Aware Systems at the The First Conference on Artificial General Intelligence (AGI-08)
Mary-Anne Williams is Research Professor and Director of the Innovation and Technology Research Laboratory.
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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What We Have Now
[brew note - four preconditions for Artificial General Intelligence (AGI) or at least what I made of it]
1. Better machines
- Fast computers internetworked, compute clouds
- Hardware is not the problem
2. Basic understanding of human cognition and brain
- basic understanding of human cognition and architecture.
- A cruder but useful understanding of brain structure and dynamics
3. Embodiment – Virtual and Physical
- Decent virtual worlds for AI embodiment
- Halfway-decent robot bodies
4. Theoretical understanding of AGI
- Lots of AI algorithms and representations
- often useful in specialized areas
- often not very scalable on their own
- a theoretical understanding of general intelligence under conditions
of massive computational resources
From the opening session: Review of AI and AGI Past Present and Future by Ben Goertzel of Novamente at the The First Conference on Artificial General Intelligence (AGI-08) Ben Goertzel was one of the conference organizers and is a driving force in the AGI community.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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Matthew Taylor presents Transfer Learning and Intelligence: an Argument and Approach
by Matthew Taylor , Gregory Kuhlmann , and Peter Stone of Learning Agents Research Group, Department of Computer Science , University of Texas at Austin
Technical Session # 5: Learning chaired by J. Storrs Hall at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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Israel Gottlieb presents Participating in Cognition: The Interactive Search Optimization Algorithm by Nadav Abkasis, Israel Gottlieb, and Eliraz Itzchaki of Department of Computer Science, Jerusalem College of Technology, Israel
The message here is that Artificial General Intelligence (AGI) is dealing with new situations but if the target is not well-defined can't decide what algorithm to use.
in Technical Session # 5: Learning chaired by J. Storrs Hall at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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Speakers view at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference. The AV technican that ran this did a superb job of keeping everything running smoothly, it was tremendous.
The following two paragraphs are an excerpt from an article in Digital Content Producer
THE ZONE
The large raked-seating arena, The Zone (as in Memphis-based AutoZone, one of the institute's major corporate partners), best represents the spirit of this project and the institute in general. More than 190 seats focus on a 9½-by-17-foot, 16:9 rear-projection screen in this forum for interactive education and collaborative research.
The gooseneck microphones sprouting from the crescent-shaped work surfaces indicate that this room is meant for two-way communications. The microphones are part of the Bosch DCN , a system of ministrations that incorporate an LCD screen, a keypad, and two-way audio. There are 194 such stations in The Zone. (This is the second-largest DCN installation in the world; the largest is in the General Assembly of the United Nations.)
About AGI
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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Tsvi Achler presents Recurrent Feedback Neuronal Networks: Classification and Inference Based on Network Structure by Tsvi Achler and Eyal Amir from Department of Computer Science, University of Illinois at Urbana Champaign
The main points in this introductory slide were that Artificial General Intelligence has an ability to generalize and that it is necessary to avoid combinatorial explosion.
In Technical Session # 7: Neural Network and Brain Modeling
Session Chair: Randal Koene , Laboratory of Computational Neurophysiology, Center for Memory and Brain, Boston University at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction Pei Wang
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Tsvi Achler presents Recurrent Feedback Neuronal Networks: Classification and Inference Based on Network Structure by Tsvi Achler and Eyal Amir from Department of Computer Science, University of Illinois at Urbana Champaign
In Technical Session # 7: Neural Network and Brain Modeling
Session Chair: Randal Koene , Laboratory of Computational Neurophysiology, Center for Memory and Brain, Boston University at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction Pei Wang
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Israel Gottlieb presents Participating in Cognition: The Interactive Search Optimization Algorithm by Nadav Abkasis, Israel Gottlieb, and Eliraz Itzchaki of Department of Computer Science, Jerusalem College of Technology, Israel
Plan / Results [ for the Interactive Search Optimization (ISO) Algorithm ]
- Focus on a common process where target not known
- Participate in this process with computation
- Describe implenmentation experiment
- Show results: Effective without knowledge of target
- Define consequence: non-Turing computation
- Discuss how may be used
in Technical Session # 5: Learning chaired by J. Storrs Hall at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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Benjamin Johnston presents: Comirit: Commonsense Reasoning by Integrating Simulation and Logic by Benjamin Johnston and Mary-Anne Williams is Research Professor and Director of the Innovation and Technology Research Laboratory. at The University of Technology, Sydney, Australia
Graphs are very general, can represent anyting. Egg example, instead of 60 axioms, just 9 rules. Iconic representation is easier than logic.
This point was also made by in the next talk Hybrid Reasoning and the Future of Iconic Representations by Catherine Recanati
in Technical Session # 4 : Reasoning chaired by Steve Omohundro of Self-Aware Systems at the The First Conference on Artificial General Intelligence (AGI-08)
Mary-Anne Williams is Research Professor and Director of the Innovation and Technology Research Laboratory.
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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Hybrid Reasoning and the Future of Iconic Representations by Catherine Recanati of Laboratoire d'Informatique de l'Université Paris Nord
Three Points - Hybrid Reasoning and the Future of Iconic Representations
1. Icons or diagrammatic objects can be used as first class citizens (= normal syntactical objects) in safe inferential systems.
2. Diagrammatic representations have a limited power of abstraction but are computationally very efficient.
3. Diagrammatic and logico-linguistic representations having dual and complementary properties, their combining in [Hybrid Reasoning Systems] HRS is very promising.
in Technical Session # 4 : Reasoning chaired by Steve Omohundro of Self-Aware Systems at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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Matthew Ikle presents Probabilistic Quantifier Logic for General Intelligence: An Indefinite Probabilities Approach by Matthew Ikle and Ben Goertzel of Novamente
Indefinite Probability approach is a hybrid of Peter Walley's imprecise probability and Bayesian work.
Peter Walley's work is summarized in his book: Statistical Reasoning with Imprecise Probabilities
The topic of this talk, along with a later talk by Ben Goerzel How Might Probabilistic Reasoning Emerge from the Brain? will likely be covered in much more detail in a forthcoming (July, 2008) book Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference by Ben Goertzel, Matthew Ikle , Izabela Lyon Freire Goertzel, and Ari Heljakka
in Technical Session # 4 : Reasoning chaired by Steve Omohundro of Self-Aware Systems at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
I030208 136
Alexei Samsonovich presents:Cognitive Constructor: An Intelligent Tutoring System Based on a Biologically Inspired Cognitive Architecture (BICA) by Alexei V. Samsonovich, Kenneth A. de Jong , Anastasia Kitsantas, Erin E. Peters, Nada Dabbagh, and M. Layne Kalbfleisch of Krasnow Institute for Advanced Study at George Mason University
Computational Consciousness
Can be defined as a fully functional computational equivalent of the human mind in its higher cognitive abilities
Two approaches: piece-by-piece versus grow.
Sidenote:
Human brain is the last and grandest biological frontier,
the most complex thing we have yet discovered in our universe.
-James Watson
Technical Session II: Architecture of AGI Systems at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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Today, Narrow AI Dominates the AI Field
(in both academia and applications)
- Deep Blue can beat humans at chess until rules change e.g. Fischer Random Chess
- DARPA Grand Challenge - great leap forward but can't learn to drive different vehicles beside cars (trucks, boats, motorcycles)
- Google - fantastic but can't answer complex questions. What happened to Ask Jeeves?
[in general, to extend all these beyond a narrow domain requires human intervention]
From the opening session: Review of AI and AGI Past Present and Future by Ben Goertzel of Novamente at the The First Conference on Artificial General Intelligence (AGI-08) Ben Goertzel was one of the confrence organizers and is a driving force in the AGI community.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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[AI past]
Terry Winograd (1971) ability of computers to understand English sentences in a restricted world of child's blocks. [ see SHRDLU ]
John Holland’s (1975) book Adaption in Natural and Artificial Systems formalizes and popularizes evolutionary algorithms.
Doug Lenat's (1982) self modifying heuristic AI program EURISKO
Danny Hillis (1983) cofunded Thinking Machines during his doctoral work at MIT. THe company was to develop Hillis' Connection Machine design into a commercial parallel comouter design
From the opening session: Review of AI and AGI Past Present and Future by Ben Goertzel of Novamente at the The First Conference on Artificial General Intelligence (AGI-08) Ben Goertzel was one of the confrence organizers and is a driving force in the AGI community.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
I030108 522
The First Conference on Artificial General Intelligence (AGI-08) 1-3 March 2008
Opening Session
1. AI and AGI Past Present and Future - Ben Goertzel,
2. Nothing close to a consensus on the right path to human-level Artificial General Intelligence (AGI),
4. Will narrow-AI Natural language processing (NLP) software ever correctly interpet this paragraph?,
5. What We Have Now - four preconditions for Artificial General Intelligence (AGI)
Big Questions for Artificial General Intelligence
1. What’s a Workable Cognitive Cycle?
4. What must a world be that AGI can develop in it?
5. Can Logic Serve a Scalable Fundation for Sensorimotor Learning?
6. How does neural learning relate to abstract formal models of learning?
www.flickr.com/photos/brewbooks/2302010731/
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
mosaic_agi_agi08_1
A Computational Approximation to the AIXI Model by Sergey Pankov from Florida State University. You can find more about AIXI in Marcus Hutter's Universal Algorithmic Intelligence: A mathematical top->down approach report
As Pankov says: Control Theory + Solomonoff Induction = AIXI
Another good Solomonoff Induction link by Shane Legg
Technical Session # 5: Learning chaired by J. Storrs Hall at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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Benjamin Johnston presents: Comirit: Commonsense Reasoning by Integrating Simulation and Logic by Benjamin Johnston and Mary-Anne Williams is Research Professor and Director of the Innovation and Technology Research Laboratory. at The University of Technology, Sydney, Australia
Future work includes:
- integration with other methods
heuristics, logics, non-logical reasoning, and self organization
- Online learning of simulation
- Cognitive architecture
in Technical Session # 4 : Reasoning chaired by Steve Omohundro of Self-Aware Systems at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
I030208 144
Alexei Samsonovich presents:Cognitive Constructor: An Intelligent Tutoring System Based on a Biologically Inspired Cognitive Architecture (BICA) by Alexei V. Samsonovich, Kenneth A. de Jong , Anastasia Kitsantas, Erin E. Peters, Nada Dabbagh, and M. Layne Kalbfleisch of Krasnow Institute for Advanced Study at George Mason University
Technical Session II: Architecture of AGI Systems at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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Panel for Technical Session # 4 : Reasoning chaired by Steve Omohundro of Self-Aware Systems
At the table: Catherine Recanati , Matthew Ikle, and Benjamin Johnston
at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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Audience Interaction Technical Session # 4 : Reasoning chaired by Steve Omohundro of Self-Aware Systems at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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OSCAR: An Architecture for Generally Intelligent Agents by John Pollock from University of Arizona
Sparse Knowledge
OSCAR is a fully implemented architecture for cognitive systems, based on the author's work in philosophy concerning epistemology and the theory of practical reasoning.
Technical Session II: Architecture of AGI Systems at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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David Friedlander presenting LIDA and a Theory of Mind by David Friedlander, Stan Franklin
LIDA = Learning Intelligent Distribution Agent
more about Theory of Mind
Technical Session II: Architecture of AGI Systems at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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Big Questions for Artificial General Intelligence
5. Can Logic Serve a Scalable Fundation for Sensorimotor Learning?
Move beyond toy problems
From the opening session: Review of AI and AGI Past Present and Future by Ben Goertzel of Novamente at the The First Conference on Artificial General Intelligence (AGI-08) Ben Goertzel was one of the conference organizers and is a driving force in the AGI community.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
I030108 557
Big Questions for Artificial General Intelligence
7.Can integrative design allow multiple AI Algorithms to quell each others’ combinatorial explosions?
From the opening session: Review of AI and AGI Past Present and Future by Ben Goertzel of Novamente at the The First Conference on Artificial General Intelligence (AGI-08) Ben Goertzel was one of the conference organizers and is a driving force in the AGI community.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
I030108 559
[AI today]
Lots of real-world acheivements
Lots of deep, fascinating ideas
Nothing close to a consensus on the right path to human-level AGI
In many cases, AGI visions have given way to narrow-AI sucesses
From the opening session: Review of AI and AGI Past Present and Future by Ben Goertzel of Novamente at the The First Conference on Artificial General Intelligence (AGI-08) Ben Goertzel was one of the confrence organizers and is a driving force in the AGI community.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
I030108 524
Big Questions for Artificial General Intelligence
6. How does neural learning relate to abstract formal models of learning?
From the opening session: Review of AI and AGI Past Present and Future by Ben Goertzel of Novamente at the The First Conference on Artificial General Intelligence (AGI-08) Ben Goertzel was one of the conference organizers and is a driving force in the AGI community.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
I030108 558
Adversarial Sequence Prediction by Bill Hibbard of University of Wisconsin
in Technical Session # 5: Learning chaired by J. Storrs Hall at the The First Conference on Artificial General Intelligence (AGI-08)
This room is The Zone, at the FedEx Institute of Technology, University of Memphis. It was a very good venue for this conference.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
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Big Questions for Artificial General Intelligence
3. Must an AGI wholly learn language, or can linguistic resources, statistical NLP, and Commonsense KB’s help?
From the opening session: Review of AI and AGI Past Present and Future by Ben Goertzel of Novamente at the The First Conference on Artificial General Intelligence (AGI-08) Ben Goertzel was one of the conference organizers and is a driving force in the AGI community.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
I030108 553
Big Questions for Artificial General Intelligence
2. Can abstract knowledge representation serve as an adequate foundation for the adaptive creation of context-specific knowledge representations?
(and if so, what kind?)
From the opening session: Review of AI and AGI Past Present and Future by Ben Goertzel of Novamente at the The First Conference on Artificial General Intelligence (AGI-08) Ben Goertzel was one of the conference organizers and is a driving force in the AGI community.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
I030108 551
Pei Wang was one of the organizers of the AGI-08 conference. A key point that I got from his talk: "We should not rule out other forms of intelligence." He is the originatior of the NARS (Non-Axiomatic Reasoning System) approach to Artificial General Intelligence.
Pei Wang Temple University
in Technical Session I: Overview of AGI Research at the The First Conference on Artificial General Intelligence (AGI-08)
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
I030208 048
Big Questions for Artificial General Intelligence
4. What must a world be that AGI can develop in it?
From the opening session: Review of AI and AGI Past Present and Future by Ben Goertzel of Novamente at the The First Conference on Artificial General Intelligence (AGI-08) Ben Goertzel was one of the conference organizers and is a driving force in the AGI community.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
I030108 556
THE PRESENT
2008
The technological and scientific context leaves us poised for dramatic AGI progress.
From the opening session: Review of AI and AGI Past Present and Future by Ben Goertzel of Novamente at the The First Conference on Artificial General Intelligence (AGI-08) Ben Goertzel was one of the confrence organizers and is a driving force in the AGI community.
Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI -- to create intelligence as a whole, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. AGI is also called Strong AI in the AI community.
Another good reference is Artificial General Intelligence : A Gentle Introduction by Pei Wang
I030108 535
The most intelligent systems are those in which it is a pattern that the major subsystems cause each other to act more intelligently.
The Hidden Pattern: A Patternist Philosophy of Mind by Ben Goertzel