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Technical Session # 3: Language and Cognition at

The First Conference on Artificial General Intelligence (AGI-08) 1-3 March 2008

 

A Cognitive Substrate for Natural Language Understanding Nick Cassimatis , Arthi Murugesan and Magdalena D. Bugajska of the Human Level Intelligence Lab Rensselaer Polytechnic Institute

1. What is difficult? [ about A Cognitive Substrate for Natural Language Understanding ],

 

Anticipative Coordinated Cognitive Processes for Interactivist and Piagetian Theories by Jean-Charles Quinton, Jean-Christophe Buisson, Filipo Perotto of Institut de Recherche en Informatique de Toulouse (IRIT)- Computer Science Research Institute of Toulouse

2. Anticipative Coordinated Cognitive Processes for Interactivist and Piagetian Theories,

 

3. Panel Technical Session # 3: Language and Cognition,

 

Technical Session # 4 : Reasoning chaired by Steve Omohundro of Self-Aware Systems at the The First Conference on Artificial General Intelligence (AGI-08)

 

Probabilistic Quantifier Logic for General Intelligence: An Indefinite Probabilities Approach by Matthew Ikle and Ben Goertzel of Novamente

4. Indefinite Probability Review by Matthew Ikle,

 

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

5. Motivation for Commonsense Reasoning (COMIRIT),

6. Graph-Based Simulation in Commonsense Reasoning (COMIRIT),

7. Future Work on Commonsense Reasoning (COMIRIT),

 

Hybrid Reasoning and the Future of Iconic Representations by Catherine Recanati of Laboratoire d'Informatique de l'Université Paris Nord

8. Three Points - Hybrid Reasoning and the Future of Iconic Representations,

 

9. Panel for Technical Session # 4 : Reasoning

 

mosaic_reason_agi08

  

[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

 

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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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The China-Brain Project: Building China's Artificial Brain Using An Evolved Neural Net Module Approach by Hugo de Garis , Tang Jian Yu, Huang Zhiyong, Bai Lu, Chen Cong, Chen Shuo, Guo Junfei, Tan Xianjin, Tian Hao, Tian Xiaohan, Wu Xianjian, Xiong Ye, Yu Xiangqian, Huang Di of The International School of Software at Wuhan University (This work is being funded in the future by Xiamen University, 2008-11)

 

Here is the basic idea:

The artificial brain will consist of up to 15,000 Neural network circuit modules that are evolved in a Celoxica Field-programmable gate array (FPGA) accelerator board. Each Neural network module is downloaded to a PC. Human brain architects specify the intereconnections between the Neural network modules to build an artificial brain (A-brain)

  

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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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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Technical Session # 5: Learning chaired by J. Storrs Hall at the The First Conference on Artificial General Intelligence (AGI-08) Ben Goertzel asks a question of

Panel (Left to right Brian Milch , Matthew Taylor , Israel Gottlieb , Bill Hibbard, Sergey Pankov

 

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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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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Discussion Session: Catalyzing the Coming Artificial General Intelligence (AGI) Renaissance Discussion

Session Chair: Stan Franklin

Pei Wang , Ben Goertzel, Kai-Uwe Kühnberger on panel at the The First Conference on Artificial General Intelligence (AGI-08)

  

"Will there be an AGI renaissance? Evidence is that you are all here."- Stan Franklin

There were more than 100 hundred people at this conference and workshop.

 

Topics of discussion

Future AGI meetings?

AGI book series?

Open access AGI journal?

Separate AGI agenda?

Organization separate AGI vs remaining part of AAAI

Funding

International (broaden scope)

Making AGI more attractive to business and the whole world

 

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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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.)

 

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Ben Goertzel presents How Might Probabilistic Reasoning Emerge from the Brain? Ben Goertzel and Cassio Pennachin of Novamente

 

The topic of this talk, along with an earlier talk by Matthew Ikle Probabilistic Quantifier Logic for General Intelligence: An Indefinite Probabilities Approach 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 # 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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Big Questions for Artificial General Intelligence

 

1. What’s a Workable Cognitive Cycle?

This is the LIDA Cognitive Cycle

LIDA = Learning Intelligent Distribution Agent

 

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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Jean-Charles Quinton presenting Anticipative Coordinated Cognitive Processes for Interactivist and Piagetian Theories by Jean-Charles Quinton, Jean-Christophe Buisson, Filipo Perotto of Institut de Recherche en Informatique de Toulouse (IRIT)- Computer Science Research Institute of Toulouse

 

Technical Session # 3: Language and Cognition 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

  

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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

  

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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

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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

  

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Future Directions for AGI Research [Chair: Ben Goertzel]

The First Conference on Artificial General Intelligence (AGI-08) 1-3 March 2008

 

Pei Wang advocating a Unified Approach

 

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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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Arthi Murugesan presenting A Cognitive Substrate for Natural Language Understanding Nick Cassimatis , Arthi Murugesan and Magdalena D. Bugajska of the Human Level Intelligence Lab Rensselaer Polytechnic Institute

 

"The goal of the Human-Level Intelligence Laboratory is to design machines with human-level intelligence and explain human intelligence."

 

Technical Session # 3: Language and Cognition 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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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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Extending the Soar Cognitive Architecture by John Laird of University of Michigan

  

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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[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

 

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Seven Principles of Synthetic Intelligence

Joscha Bach Institute for Cognitive Science, University of Osnabrück, Germany

 

Joscha was the lead speaker 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

 

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Matthew Taylor - Transfer Learning and Intelligence

 

Video: video.google.com/videoplay?docid=1984013763155542745

John Laird - Extending the Soar Cognitive Architecture

 

Video: video.google.com/videoplay?docid=8448825372524113127

John Pollock - OSCAR: An Architecture for Generally Intelligent Agents

 

Video: video.google.com/videoplay?docid=-6187866463929353292

 

Matthew Ikle - Probabilistic Quantifier Logic for General Intelligence: An Indefinite Probabilities Approach

 

Video: video.google.com/videoplay?docid=-7557171453682150280

Stages of Ethical Development in Artificial General Intelligence Systems by Ben Goertzel and Stephan Vladimir Bugaj

 

"Within thirty years we will have the technological means to create superhuman intelligence. Shortly thereafter, the human era will be ended.

 

When greater-than-human intelligence drives progress, that progress will be much more rapid."

 

The Coming Technological Singularity

Vernor Vinge (1993)

 

AGI-08 Workshop

 

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Eric Baum - Discussion Session: Overview of AGI Research

 

Video: video.google.com/videoplay?docid=-4146607182966192037

helicoptero Aguia da policia Militar que pousou dentro de estacionamento para socorrer vitima de atropelamento que perdeu perna atropelante fugiu e guardou carro na vila anastacio, ocorencia no 91 dp

foto Oslaim Brito

Virtually Embodied AI

 

Ben Goertzel, Andrew Shilliday, Martin Magnusson, session chair: Sibley Verbek

 

Video: video.google.com/videoplay?docid=6237895796517224016&...

J. Storrs Hall - Engineering Utopia

 

Video: video.google.com/videoplay?docid=-3998853255998922364

 

Hugo de Garis - The China-Brain Project

 

Video: video.google.com/videoplay?docid=-4566739747230552004

 

Hugo de Garis - The Artilect War

 

Video: video.google.com/videoplay?docid=4808382846663437330

Photo by Hugo de Garis

Photo by Hugo de Garis

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