Table of Contents

• Self-Modification and Mortality in Artificial AgentsLaurent Orseau, Mark Ring. 1-10 [doi]
• Delusion, Survival, and Intelligent AgentsMark Ring, Laurent Orseau. 11-20 [doi]
• Coherence Progress: A Measure of Interestingness Based on Fixed CompressorsTom Schaul, Leo Pape, Tobias Glasmachers, Vincent Graziano, Jürgen Schmidhuber. 21-30 [doi]
• Sequential Constant Size Compressors for Reinforcement LearningLinus Gisslén, Matthew D. Luciw, Vincent Graziano, Jürgen Schmidhuber. 31-40 [doi]
• Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic EnvironmentsYi Sun, Faustino J. Gomez, Jürgen Schmidhuber. 41-51 [doi]
• Optimal Direct Policy SearchTobias Glasmachers, Jürgen Schmidhuber. 52-61 [doi]
• Nonlinear-Dynamical Attention Allocation via Information GeometryMatthew Iklé, Ben Goertzel. 62-71 [doi]
• An Information Theoretic Representation of Agent Dynamics as Set IntersectionsSamuel Epstein, Margrit Betke. 72-81 [doi]
• On More Realistic Environment Distributions for Defining, Evaluating and Developing IntelligenceJosé Hernández-Orallo, David L. Dowe, Sergio España-Cubillo, M. Victoria Hernández-Lloreda, Javier Insa-Cabrera. 82-91 [doi]
• Structural Emergence in Partially Ordered Sets Is the Key to IntelligenceSergio Pissanetzky. 92-101 [doi]
• Integrating Perception and Cognition for AGIUnmesh Kurup, Christian Lebiere, Anthony Stentz. 102-111 [doi]
• Systematically Grounding Language through Vision in a Deep, Recurrent Neural NetworkDerek Monner, James A. Reggia. 112-121 [doi]
• Comparing Humans and AI AgentsJavier Insa-Cabrera, David L. Dowe, Sergio España-Cubillo, M. Victoria Hernández-Lloreda, José Hernández-Orallo. 122-132 [doi]
• The LIDA Framework as a General Tool for AGIJavier Snaider, Ryan James McCall, Stan Franklin. 133-142 [doi]
• From Memory to Problem Solving: Mechanism Reuse in a Graphical Cognitive ArchitecturePaul S. Rosenbloom. 143-152 [doi]
• Rational Universal Benevolence: Simpler, Safer, and Wiser Than "Friendly AI"Mark Waser. 153-162 [doi]
• The Collection of Physical Knowledge and Its Application in Intelligent SystemsBenjamin Johnston. 163-173 [doi]
• Rationality and General IntelligenceHelmar Gust, Ulf Krumnack, Maricarmen Martínez, Ahmed A. Abdel Fattah, Martin Schmidt, Kai-Uwe Kühnberger. 174-183 [doi]
• Wagging the Dog: Human ::::vs.:::: Machine Inference of Causality in Visual SequencesFlorin Popescu. 184-193 [doi]
• Learning Problem Solving Skills from Demonstration: An Architectural ApproachHaris Dindo, Antonio Chella, Giuseppe La Tona, Monica Vitali, Eric Nivel, Kristinn R. Thórisson. 194-203 [doi]
• Compression and Intelligence: Social Environments and CommunicationDavid L. Dowe, José Hernández-Orallo, Paramjit K. Das. 204-211 [doi]
• OpenPsi: Realizing Dörner s Psi Cognitive Model in the OpenCog Integrative AGI ArchitectureZhenhua Cai, Ben Goertzel, Nil Geisweiller. 212-221 [doi]
• Extending Cognitive Architectures with Semantic ResourcesAlessandro Oltramari, Christian Lebiere. 222-231 [doi]
• A Motivational System for Cognitive AIJoscha Bach. 232-242 [doi]
• On Fast Deep Nets for AGI VisionJürgen Schmidhuber, Dan Ciresan, Ueli Meier, Jonathan Masci, Alex Graves. 243-246 [doi]
• Considerations for a Neuroscience-Inspired Approach to the Design of Artificial Intelligent SystemsSerge Thill. 247-254 [doi]
• Brain Anatomy and Artificial IntelligenceL. Andrew Coward. 255-268 [doi]
• Information, Utility and Bounded RationalityDaniel Alexander Braun, Pedro Alejandro Ortega. 269-274 [doi]
• A Family of Gödel Machine ImplementationsBas R. Steunebrink, Jürgen Schmidhuber. 275-280 [doi]
• Reinforcement Learning and the Bayesian Control RulePedro Alejandro Ortega, Daniel Alexander Braun, Simon J. Godsill. 281-285 [doi]
• Societies of Intelligent AgentsBill Hibbard. 286-290 [doi]
• Towards a General Vision System Based on Symbol-Relation Grammars and Bayesian NetworksElias Ruiz, Augusto Meléndez, Luis Enrique Sucar. 291-296 [doi]
• Reasoning in Non-Axiomatic Logic: A Case Study in Medical DiagnosisPei Wang, Seemal Awan. 297-302 [doi]
• Measuring Agent Intelligence via Hierarchies of EnvironmentsBill Hibbard. 303-308 [doi]
• Learning What to ValueDaniel Dewey. 309-314 [doi]
• Learning the States: A Brain Inspired Neural ModelAndrás Lörincz. 315-320 [doi]
• AGI Architecture Measures Human Parameters and Optimizes Human PerformanceAndrás Lörincz, Dániel Takács. 321-326 [doi]
• Multigame Playing by Means of UCT Enhanced with Automatically Generated Evaluation FunctionsKarol Waledzik, Jacek Mandziuk. 327-332 [doi]
• From Sensorimotor Graphs to Rules: An Agent Learns from a Stream of ExperienceMarius Raab, Mark Wernsdorfer, Emanuel Kitzelmann, Ute Schmid. 333-339 [doi]
• Three Hypotheses about the Geometry of MindBen Goertzel, Matthew Iklé. 340-345 [doi]
• Imprecise Probability as a Linking Mechanism between Deep Learning, Symbolic Cognition and Local Feature Detection in Vision ProcessingBen Goertzel. 346-350 [doi]
• Generalization of Figure-Ground Segmentation from Binocular to Monocular Vision in an Embodied Biological Brain ModelBrian Mingus, Trent Kriete, Seth A. Herd, Dean Wyatte, Kenneth Latimer, Randy O Reilly. 351-356 [doi]
• The Illusion of Internal JoyClaude F. Touzet. 357-362 [doi]
• Philosophically Inspired Concept Acquisition for Artificial General IntelligenceIris Oved, Ian Fasel. 363-369 [doi]
• Machine Lifelong Learning: Challenges and Benefits for Artificial General IntelligenceDaniel L. Silver. 370-375 [doi]
• A Demonstration of Combining Spatial and Temporal PerceptionJianglong Nan, Fintan Costello. 376-381 [doi]
• Towards Heuristic Algorithmic MemoryEray Özkural. 382-387 [doi]
• Complex Value Systems in Friendly AIEliezer Yudkowsky. 388-393 [doi]
• Real-World Limits to Algorithmic IntelligenceLeo Pape, Arthur Kok. 394-400 [doi]
• AGI and Neuroscience: Open Sourcing the BrainRandal A. Koene. 401-406 [doi]
• What Makes a Brain Smart? Reservoir Computing as an Approach for General IntelligenceJanelle Szary, Bryan Kerster, Christopher T. Kello. 407-413 [doi]