4. AGI 2011: Mountain View, CA, USA

Long Papers

• Laurent Orseau, Mark B. Ring:
  Self-Modification and Mortality in Artificial Agents. 1-10
  
• Mark B. Ring, Laurent Orseau:
  Delusion, Survival, and Intelligent Agents. 11-20
  
• Tom Schaul, Leo Pape, Tobias Glasmachers, Vincent Graziano, Jürgen Schmidhuber:
  Coherence Progress: A Measure of Interestingness Based on Fixed Compressors. 21-30
  
• Linus Gisslén, Matthew D. Luciw, Vincent Graziano, Jürgen Schmidhuber:
  Sequential Constant Size Compressors for Reinforcement Learning. 31-40
  
• Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber:
  Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments. 41-51
  
• Tobias Glasmachers, Jürgen Schmidhuber:
  Optimal Direct Policy Search. 52-61
  
• Matthew Iklé, Ben Goertzel:
  Nonlinear-Dynamical Attention Allocation via Information Geometry. 62-71
  
• Samuel Epstein, Margrit Betke:
  An Information Theoretic Representation of Agent Dynamics as Set Intersections. 72-81
  
• José Hernández-Orallo, David L. Dowe, Sergio España-Cubillo, M. Victoria Hernández-Lloreda, Javier Insa-Cabrera:
  On More Realistic Environment Distributions for Defining, Evaluating and Developing Intelligence. 82-91
  
• Sergio Pissanetzky:
  Structural Emergence in Partially Ordered Sets Is the Key to Intelligence. 92-101
  
• Unmesh Kurup, Christian Lebiere, Anthony Stentz:
  Integrating Perception and Cognition for AGI. 102-111
  
• Derek Monner, James A. Reggia:
  Systematically Grounding Language through Vision in a Deep, Recurrent Neural Network. 112-121
  
• Javier Insa-Cabrera, David L. Dowe, Sergio España-Cubillo, M. Victoria Hernández-Lloreda, José Hernández-Orallo:
  Comparing Humans and AI Agents. 122-132
  
• Javier Snaider, Ryan James McCall, Stan Franklin:
  The LIDA Framework as a General Tool for AGI. 133-142
  
• Paul S. Rosenbloom:
  From Memory to Problem Solving: Mechanism Reuse in a Graphical Cognitive Architecture. 143-152
  
• Mark Waser:
  Rational Universal Benevolence: Simpler, Safer, and Wiser Than "Friendly AI". 153-162
  
• Benjamin Johnston:
  The Collection of Physical Knowledge and Its Application in Intelligent Systems. 163-173
  
• Helmar Gust, Ulf Krumnack, Maricarmen Martínez, Ahmed A. Abdel Fattah, Martin Schmidt, Kai-Uwe Kühnberger:
  Rationality and General Intelligence. 174-183
  
• Florin Popescu:
  Wagging the Dog: Human vs. Machine Inference of Causality in Visual Sequences. 184-193
  
• Haris Dindo, Antonio Chella, Giuseppe La Tona, Monica Vitali, Eric Nivel, Kristinn R. Thórisson:
  Learning Problem Solving Skills from Demonstration: An Architectural Approach. 194-203
  
• David L. Dowe, José Hernández-Orallo, Paramjit K. Das:
  Compression and Intelligence: Social Environments and Communication. 204-211
  
• Zhenhua Cai, Ben Goertzel, Nil Geisweiller:
  OpenPsi: Realizing Dörner's "Psi" Cognitive Model in the OpenCog Integrative AGI Architecture. 212-221
  
• Alessandro Oltramari, Christian Lebiere:
  Extending Cognitive Architectures with Semantic Resources. 222-231
  
• Joscha Bach:
  A Motivational System for Cognitive AI. 232-242
  
• Jürgen Schmidhuber, Dan Ciresan, Ueli Meier, Jonathan Masci, Alex Graves:
  On Fast Deep Nets for AGI Vision. 243-246
  
• Serge Thill:
  Considerations for a Neuroscience-Inspired Approach to the Design of Artificial Intelligent Systems. 247-254
  
• L. Andrew Coward:
  Brain Anatomy and Artificial Intelligence. 255-268
  

Short Papers

• Daniel Alexander Ortega, Pedro Alejandro Braun:
  Information, Utility and Bounded Rationality. 269-274
  
• Bas R. Steunebrink, Jürgen Schmidhuber:
  A Family of Gödel Machine Implementations. 275-280
  
• Pedro Alejandro Ortega, Daniel Alexander Braun, Simon J. Godsill:
  Reinforcement Learning and the Bayesian Control Rule. 281-285
  
• Bill Hibbard:
  Societies of Intelligent Agents. 286-290
  
• Elias Ruiz, Augusto Meléndez, Luis Enrique Sucar:
  Towards a General Vision System Based on Symbol-Relation Grammars and Bayesian Networks. 291-296
  
• Pei Wang, Seemal Awan:
  Reasoning in Non-Axiomatic Logic: A Case Study in Medical Diagnosis. 297-302
  
• Bill Hibbard:
  Measuring Agent Intelligence via Hierarchies of Environments. 303-308
  
• Daniel Dewey:
  Learning What to Value. 309-314
  
• András Lörincz:
  Learning the States: A Brain Inspired Neural Model. 315-320
  
• András Lörincz, Dániel Takács:
  AGI Architecture Measures Human Parameters and Optimizes Human Performance. 321-326
  
• Karol Waledzik, Jacek Mandziuk:
  Multigame Playing by Means of UCT Enhanced with Automatically Generated Evaluation Functions. 327-332
  
• Marius Raab, Mark Wernsdorfer, Emanuel Kitzelmann, Ute Schmid:
  From Sensorimotor Graphs to Rules: An Agent Learns from a Stream of Experience. 333-339
  
• Ben Goertzel, Matthew Iklé:
  Three Hypotheses about the Geometry of Mind. 340-345
  
• Ben Goertzel:
  Imprecise Probability as a Linking Mechanism between Deep Learning, Symbolic Cognition and Local Feature Detection in Vision Processing. 346-350
  
• Brian Mingus, Trent Kriete, Seth A. Herd, Dean Wyatte, Kenneth Latimer, Randy O'Reilly:
  Generalization of Figure-Ground Segmentation from Binocular to Monocular Vision in an Embodied Biological Brain Model. 351-356
  
• Claude F. Touzet:
  The Illusion of Internal Joy. 357-362
  
• Iris Oved, Ian Fasel:
  Philosophically Inspired Concept Acquisition for Artificial General Intelligence. 363-369
  
• Daniel L. Silver:
  Machine Lifelong Learning: Challenges and Benefits for Artificial General Intelligence. 370-375
  
• Jianglong Nan, Fintan Costello:
  A Demonstration of Combining Spatial and Temporal Perception. 376-381
  
• Eray Özkural:
  Towards Heuristic Algorithmic Memory. 382-387
  
• Eliezer Yudkowsky:
  Complex Value Systems in Friendly AI. 388-393
  
• Leo Pape, Arthur Kok:
  Real-World Limits to Algorithmic Intelligence. 394-400
  
• Randal A. Koene:
  AGI and Neuroscience: Open Sourcing the Brain. 401-406
  
• Janelle Szary, Bryan Kerster, Christopher T. Kello:
  What Makes a Brain Smart? Reservoir Computing as an Approach for General Intelligence. 407-413
  

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