Schedule
Each contributed-talks session (Sessions 1-6, plus the AGI & Neuroscience session) will consist of a number of 15-minute talks, followed by a lengthy panel discussion involving the speakers. Specific papers corresponding to each contributed-talks section are listed at the end of this page, below the summary schedule.
Sat. Dec. 8
8:30AM. Conference intro: Ben Goertzel
8:45AM. Keynote talk by Margaret Boden: Creativity and AGI
9:45 AM. Keynote talk by David Hanson: Open source genius machines who care: Growing Friendly AGI via GENI, Glue and Lovable Characters
10:45AM. Morning break
11:15AM. Keynote talk by Angelo Cangelosi, From Sensorimotor Intelligence to Symbols: Developmental Robotics Experiments
12:15PM. Lunch
1:30-2:30PM. Keynote talk by Nick Bostrom: The Superintelligence Control Problem
2:35PM. Session 1: Cognitive Architectures & Models A
4:20PM. Break
4:45-6:30PM. Session 2: Cognitive Architectures & Models B
Sun. Dec. 9
8:30 AM. Session 3: Universal Intelligence and its Formal Approximations
10:30 AM. Break
11AM. Session 4: Conceptual and Contextual Issues
12:40PM. Lunch
1:15PM. (Attendance optional) AGI Society / conference series business meeting
2PM. Session 5: Cognitive Architectures and Models C
4:15PM. Break
4:45 PM. Session 6: Mathematical Formalisms and Tools
Mon. Dec. 10
8:-10AM. AGI-12 tutorial with Aaron Sloman. Topic: Meta-morphogenesis: How a planet can produce Minds, Mathematics and Music. Slides here.
9:45-10:15AM. Refreshments served
10AM-noon. Hands-on AGI-12 tutorial on the CHREST cognitive architecture
1PM AGI-Impacts, Session 1
Tues Dec. 11
8:30AM. Special Session on AGI & Neuroscience
10:30AM. Break
11AM. AGI Roadmap discussion, led by Ben Goertzel and Joscha Bach. To what extent, and in what way, can we articulate a common development and evaluation roadmap spanning multiple AGI approaches. What tools might make this easier? See related article and video.
12PM. Lunch
1:30PM AGI-Impacts, Session 2
AGI-12 Contributed Paper Sessions:
Session 1: Cognitive Architectures & Cognitive Modeling A
The Next Generation of the MicroPsi Framework. Joscha Bach, Humboldt University of Berlin, Germany
Motivation Management in AGI Systems. Pei Wang, Temple University, United States
On Attention Mechanisms for AGI Architectures: A Design Proposal. Helgi Helgason, Eric Nivel and Thórisson Kristinn, Reykjavik University / School of Computer Science, Iceland
Pursuing Artificial General Intelligence By Leveraging the Knowledge Capabilities Of ACT-R. Alessandro Oltramari and Christian Lebiere, Carnegie Mellon University, USA
CHREST models of implicit learning and board game interpretation. Peter Lane and Fernand Gobet, University of Hertfordshire, UK
Session 2: Cognitive Architectures & Cognitive Modeling B
Perception Processing for General Intelligence: Bridging the Symbolic/Subsymbolic Gap, Ben Goertzel, Novamente LLC, USA & Hong Kong
Pattern Mining for General Intelligence: The FISHGRAM Algorithm for Frequent and Interesting Subhypergraph Mining. Jade O’Neill and Ben Goertzel. Hong Kong Polytechnic University.
Syntax-Semantic Mapping for General Intelligence: Language Comprehension as Hypergraph Homomorphism, Language Generation as Constraint Satisfaction. Ruiting Lian and Ben Goertzel, Hong Kong Polytechnic University and Xiamen University, China
Deconstructing Reinforcement Learning in Sigma. Paul Rosenbloom, University of Southern California, USA
Extending Mental Imagery in Sigma. Paul Rosenbloom, University of Southern California, USA
Session 3: Universal Intelligence and its Formal Approximations
On Ensemble Techniques for AIXI Approximation. Joel Veness, Peter Sunehag and Marcus Hutter, University of Alberta, Canada
OPTIMISTIC AIXI. Peter Sunehag and Marcus Hutter. Australian National University
Memory issues of intelligent agents. Laurent Orseau and Mark Ring, AgroParisTech, France & IDSIA, Switzerland
Space-Time Embedded Intelligence, Laurent Orseau and Mark Ring, AgroParisTech, France & IDSIA, Switzerland
Differences between Kolmogorov Complexity and Solomonoff Probability: Consequences for AGI, Alexey Potapov, Andrew Svitenkov and Yurii Vinogradov, AIDEUS, Russian Federation
Extending Universal Intelligence Models with a Formal Notion of Representation. Alexey Potapov and Sergey Rodionov, AIDEUS, Russian Federation
Session 4: Conceptual and Contextual Issues
On measuring social intelligence: experiments on competition and cooperation. Javier Insa, Jose Hernandez-Orallo and José-Luis Benacloch-Ayuso, Universidad Politécnica de Valencia, Spain
An Extensible Language Interface for Robot Manipulation. Jonathan Connell, Etienne Marcheret, Sharath Pankanti, Michiharu Kudoh and Risa Nishiyama, IBM T.J. Watson Research, US
Noisy Reasoners: Errors of Judgment in Humans and AIs. Fintan Costello, University College Dublin, Ireland
Avoiding Unintended AI Behaviors. Bill Hibbard, University of Wisconsin – Madison, USA
Decision Support for Safe AI Design. Bill Hibbard, University of Wisconsin – Madison, USA
On the functional contributions of emotion mechanisms to (artificial) cognition and intelligence, Serge Thill and Robert Lowe, University of Skövde, Sweden
Perceptual time, perceptual reality, and general intelligence. Leslie Smith, University of Stirling, United Kingdom
Creativity, Cognitive Mechanisms, and Logic. Ahmed Abdel-Fattah, Tarek Besold, and Kai-Uwe Kühnberger. University of Osnabrueck, Institute of Cognitive Science, Germany
Stupidity and the Ouroboros Model, Knut Thompson
Transparent Neural Networks: Integrating Concept Formation and Reasoning. Claes Strannegård, Christian Balkenius, Olle Häggström and Johan Wessberg, Chalmers University of Technology, Sweden
Binary Space Partitioning as Intrinsic Reward. Wojciech Skaba, AGINAO, Poland
Session 6: Mathematical Formalisms & Tools
A Framework for Representing Action Meaning in Artificial Systems via Force Dimensions. Paul Hemeren and Peter Gärdenfors, University of Skövde, Sweden
Logical Prior Probabilities, Abram Demski, University of Southern California, USA
Fuzzy-probabilistic logic for common sense. King Yin Yan, General Intelligence Research Group, Hong Kong
Fractal Analogies for General Intelligence. Keith Mcgreggor and Ashok Goel. Georgia Institute of Technology, United States
An Intelligent Theory of Cost for Partial Metric Spaces. Steve Matthews and Michael Bukatin, University of Warwick, UK
A Representation Theorem for Decisions about Causal Models. Daniel Dewey, Future of Humanity Institute, UK
Modular Value Iteration Through Regional Decomposition. Linus Gisslen, Mark Ring, Matt Luciw and Juergen Schmidhuber, IDSIA, Switzerland & TU Munich, Germany
Toward tractable AGI: Challenges for System Identification in Neural Circuitry. Randal Koene, Carboncopies.org, USA.
The Connectome, WBE and AGI. Diana Deca, IMPRS-LS, Germany
Hippocampal formation mechanism will inspire frame generation for building an artificial general intelligence, Hiroshi Yamakawa, FUJITSU LABORATORIES LTD., Japan
What Is It Like to Be a Brain Simulation? Eray Ozkural, Bilkent University, Turkey
