No. 2: How Should Intelligence Be Abstracted in AI Research: MDPs, Symbolic Representations, Artificial Neural Networks, or ?

All Papers

• Natural Information and Computation: A Proposal Based on Interaction and Decision Making

  Rafael Silveira Xavier, Leandro Nunes de Castro

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• Operational Representation — A Unifying Representation for Activity Learning and Problem Solving

  Seng-Beng Ho

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• Guiding Evolutionary Learning by Searching for Regularities in Behavioral Trajectories: A Case for Representation Agnosticism

  Krzysztof Krawiec, Jerry Swan

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• Reflections on Abstractions for General Artificial Intelligence

  John Edwin Laird

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• Quantitative Symbolic Process Models: How a Fair Fraction of Intelligence Could Be Abstracted in AI Research

  Eric Mjolsness

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• Artificial Life and Machine Consciousness

  Andrew L. Nelson

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• How to Abstract Intelligence? (If Verification Is in Order)

  Shashank Pathak, Luca Pulina, Giorgio Metta, Armando Tacchella

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• The Case for Evolution in Engineering Brains

  Kenneth O. Stanley

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• Predicting Situated Behaviour Using Sequences of Abstract Spatial Relations

  Jay Young, Nick Hawes

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• Integrating Declarative Programming and Probabilistic Planning for Robots

  Shiqi Zhang, Mohan Sridharan

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• Soft Rule Ensembles for Supervised Learning

  Deniz Akdemir, Nicolas Heslot, Jean-Luc Jannink

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• An Ecological Development Abstraction for Artificial Intelligence

  Samuel H. Kenyon

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• Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation

  Joel Lehman, Kenneth O. Stanley

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• A Compiler for CPPNs: Transforming Phenotypic Descriptions Into Genotypic Representations

  Sebastian Risi

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• Sports Video Classification from Multimodal Information Using Deep Neural Networks

  Devendra Singh Sachan, Umesh Tekwani, Amit Sethi

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• Carving Out Evolutionary Paths Towards Greater Complexity

  Gene Sher

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• Evolutionary Scheduler for Content Pre-Fetching in Mobile Networks

  Omar K. Shoukry, Magda B. Fayek

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• Reasoning with Uncertainties Over Existence of Objects

  Vien Anh Ngo, Marc Toussaint

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• An Introduction to the Cognitive Calculus: A Calculus of the Human Mind

  Christian C. Wagner, James G. Schiiller

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• Nothing Is Absolute

  Ke Wang

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• A Myriad of Automation Serving a Unified Reflective Safe/Moral Will

  Mark R. Waser

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• Organizing Committee

  Sebastian Risi, Joel Lehman, Jeff Clune

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• Preface

  Sebastian Risi, Joel Lehman, Jeff Clune

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• How Can the Blind Men See the Elephant?

  Bonny Banerjee

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• Systematic Variation in Cytoarchitectural Landscapes in the Isocortex of Primates and Rodents

  Christine Charvet, Diarmuid Cahalane, Barbara Finlay

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• Models of Brains: What Should We Borrow From Biology?

  Oliver J. Coleman, Alan D. Blair

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• Bridging the Mind-Brain Gap by Morphogenetic ”Neuron Flocking”: The Dynamic Self-Organization of Neural Activity into Mental Shapes

  Rene Doursat

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• Distributional Relational Networks

  André Freitas, João C. P. da Silva, Se&acaute;n O’Riain, Edward Curry

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• Combining a POMDP Abstraction with Replanning to Solve Complex, Position-Dependent Sensing Tasks

  Devin Grady, Mark Moll, Lydia E. Kavraki

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