By Marc Ponsen, Matthew E. Taylor, Karl Tuyls (auth.), Matthew E. Taylor, Karl Tuyls (eds.)
ThisbookpresentsselectedandrevisedpapersoftheSecondWorkshoponAd- tive and studying brokers 2009 (ALA-09), held on the AAMAS 2009 convention in Budapest, Hungary, could 12. The goalof ALA is to supply an interdisciplinaryforum for scientists from numerous ?elds similar to laptop technological know-how, biology, video game thought and economics. This year’s version of ALA used to be the second one after the merger of the previous wo- outlets ALAMAS and ALAg. In 2008 this joint workshop used to be equipped for the ?rst time below the ?ag of either occasions. ALAMAS used to be a every year returning ecu- pean workshop on adaptive and studying brokers and multi-agent structures (held 8 times). ALAg was once the foreign workshop on adaptive and studying brokers, which was once frequently held at AAMAS. to extend the energy, visibility and caliber of the workshop it used to be determined to merge either workshops less than the ?ag of ALA and to establish a steerage Committee as an organizational spine. This ebook includes six papers provided through the workshop, which have been rigorously chosen after an extra assessment around in the summertime of 2009. We consequently desire to explicitly thank the individuals of this system Committee for the standard and sincerity in their e?orts and repair. additionally we wish to thank the entire contributors of the senior steerage Committee for making this workshop attainable and aiding it with sound recommendation. We additionally thank the AAMAS convention for supplying us a platform for containing this occasion. eventually we additionally desire to thank all authors who replied to our call-for-papers with fascinating contributions.
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Extra info for Adaptive and Learning Agents: Second Workshop, ALA 2009, Held as Part of the AAMAS 2009 Conference in Budapest, Hungary, May 12, 2009. Revised Selected Papers
1] which acts as a degree of sociability for that individual agent. Initially these agent genes are generated using a uniform distribution for the ﬁrst generation. Over subsequent generations new agent genomes are generated using our genetic algorithm. Each of these genes are evolved attributes and are ﬁxed for that individual’s lifetime, therefore changes in the population only occur through new oﬀspring which have evolved genetic traits. 2 E. Howley and J. Duggan Agent Interactions In our simulations each agent interacts through a tag mediated interaction model.
These options are directly used in the target task with the assumption that the tasks are similar enough that no translation of the relational options is necessary. Konidaris and Barto  also consider transferring options, but do so in a different framework. Instead of an RRL approach, they divide problems into agent-space and problem-space representations . , it represents a robot’s physical sensors and actuators); agent-space may be considered a type of domain hiding. , there may be different room configurations in a navigation task).
Social Capital and Economic Development: A Plea for the Mechanisms. Rationality and Society 12(4), 451–476 (2000) 48 E. Howley and J. Duggan 20. : Generalized exchange and social dilemmas. Social Psychology Quarterly 56(4), 235–248 (1993) 21. : Investigation of mutual choice metanorm in group dynamics for solving social dilemmas. , Ohuchi, A. ) MAMUS 2003. LNCS (LNAI), vol. 3012, pp. 137–153. Springer, Heidelberg (2004) 22. : An experimental study of n-person iterated prisoner’s dilemma games.