1. Affordances in Psychology, Neuroscience, and Robotics: A Survey
Author(s): L. Jamone, E. Ugur, A. Cangelosi, L. Fadiga, A. Bernardino, J. Piater and J. Santos-Victor
Pages: 4-25
2. A Logic-Based Computational Framework for Inferring Cognitive Affordances
Author(s): V. Sarathy and M. Scheutz,
Pages: 26-43
3. Toward Lifelong Affordance Learning Using a Distributed Markov Model
Author(s): A. J. Glover and G. F. Wyeth
Pages: 44-55
4. Bootstrapping Relational Affordances of Object Pairs Using Transfer
Author(s): S. Fichtl, D. Kraft, N. Krüger and F. Guerin
Pages: 56-71
5. A Modular Dynamic Sensorimotor Model for Affordances Learning, Sequences Planning, and Tool-Use
Author(s): R. Braud, A. Pitti and P. Gaussier
Pages: 72-87
6. Artificial Life Environment Modeled by Dynamic Fuzzy Cognitive Maps
Author(s): L. V. R. Arruda, M. Mendonca, F. Neves, I. R. Chrun and E. I. Papageorgiou
Pages: 88-101
7. Bootstrapping Q-Learning for Robotics From Neuro-Evolution Results
Author(s): M. Zimmer and S. Doncieux
Pages: 102-119
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