• Skip to main content
  • Skip to primary sidebar
AAAI

AAAI

Association for the Advancement of Artificial Intelligence

    • AAAI

      AAAI

      Association for the Advancement of Artificial Intelligence

  • About AAAIAbout AAAI
    • News
    • Officers and Committees
    • Staff
    • Bylaws
    • Awards
      • Fellows Program
      • Classic Paper Award
      • Dissertation Award
      • Distinguished Service Award
      • Allen Newell Award
      • Outstanding Paper Award
      • AI for Humanity Award
      • Feigenbaum Prize
      • Patrick Henry Winston Outstanding Educator Award
      • Engelmore Award
      • AAAI ISEF Awards
      • Senior Member Status
      • Conference Awards
    • Partnerships
    • Resources
    • Mailing Lists
    • Past Presidential Addresses
    • AAAI 2025 Presidential Panel on the Future of AI Research
    • Presidential Panel on Long-Term AI Futures
    • Past Policy Reports
      • The Role of Intelligent Systems in the National Information Infrastructure (1995)
      • A Report to ARPA on Twenty-First Century Intelligent Systems (1994)
    • Logos
  • aaai-icon_ethics-diversity-line-yellowEthics & Diversity
  • Conference talk bubbleConferences & Symposia
    • AAAI Conference
    • AIES AAAI/ACM
    • AIIDE
    • EAAI
    • HCOMP
    • IAAI
    • ICWSM
    • Spring Symposia
    • Summer Symposia
    • Fall Symposia
    • Code of Conduct for Conferences and Events
  • PublicationsPublications
    • AI Magazine
    • Conference Proceedings
    • AAAI Publication Policies & Guidelines
    • Request to Reproduce Copyrighted Materials
    • Contribute
    • Order Proceedings
  • aaai-icon_ai-magazine-line-yellowAI Magazine
  • MembershipMembership
    • Member Login
    • Chapters

  • Career CenterAI Jobs
  • aaai-icon_ai-topics-line-yellowAITopics
  • aaai-icon_contact-line-yellowContact

  • Twitter
  • Facebook
  • LinkedIn
Home / Proceedings / Papers from the 2013 AAAI Fall Symposium /

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

    PDF
  • The Case for Evolution in Engineering Brains

    Kenneth O. Stanley

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

    Mark R. Waser

    PDF
  • Nothing Is Absolute

    Ke Wang

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

    Christian C. Wagner, James G. Schiiller

    PDF
  • Reasoning with Uncertainties Over Existence of Objects

    Vien Anh Ngo, Marc Toussaint

    PDF
  • Evolutionary Scheduler for Content Pre-Fetching in Mobile Networks

    Omar K. Shoukry, Magda B. Fayek

    PDF
  • Carving Out Evolutionary Paths Towards Greater Complexity

    Gene Sher

    PDF
  • Sports Video Classification from Multimodal Information Using Deep Neural Networks

    Devendra Singh Sachan, Umesh Tekwani, Amit Sethi

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

    Sebastian Risi

    PDF
  • Exploring Biological Intelligence through Artificial Intelligence and Radical Reimplementation

    Joel Lehman, Kenneth O. Stanley

    PDF
  • An Ecological Development Abstraction for Artificial Intelligence

    Samuel H. Kenyon

    PDF
  • Soft Rule Ensembles for Supervised Learning

    Deniz Akdemir, Nicolas Heslot, Jean-Luc Jannink

    PDF
  • Integrating Declarative Programming and Probabilistic Planning for Robots

    Shiqi Zhang, Mohan Sridharan

    PDF
  • Predicting Situated Behaviour Using Sequences of Abstract Spatial Relations

    Jay Young, Nick Hawes

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

    Shashank Pathak, Luca Pulina, Giorgio Metta, Armando Tacchella

    PDF
  • Artificial Life and Machine Consciousness

    Andrew L. Nelson

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

    Eric Mjolsness

    PDF
  • Reflections on Abstractions for General Artificial Intelligence

    John Edwin Laird

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

    Krzysztof Krawiec, Jerry Swan

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

    Seng-Beng Ho

    PDF
  • Organizing Committee

    Sebastian Risi, Joel Lehman, Jeff Clune

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

    Devin Grady, Mark Moll, Lydia E. Kavraki

    PDF
  • Distributional Relational Networks

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

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

    Rene Doursat

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

    Oliver J. Coleman, Alan D. Blair

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

    Christine Charvet, Diarmuid Cahalane, Barbara Finlay

    PDF
  • How Can the Blind Men See the Elephant?

    Bonny Banerjee

    PDF
  • Preface

    Sebastian Risi, Joel Lehman, Jeff Clune

    PDF

Primary Sidebar