By Nardine Osman, Carles Sierra
This booklet constitutes the main visionary papers of the AAMAS 2016 Workshops, held in Singapore, Singapore, in may well 2016.
The 12 revised complete papers offered have been conscientiously reviewed and chosen from the 12 workshops. They hide particular themes, either theoretical and utilized, within the normal sector of self sustaining brokers and multiagent systems.
Read Online or Download Autonomous Agents and Multiagent Systems: AAMAS 2016 Workshops, Visionary Papers, Singapore, Singapore, May 9-10, 2016, Revised Selected Papers PDF
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Additional resources for Autonomous Agents and Multiagent Systems: AAMAS 2016 Workshops, Visionary Papers, Singapore, Singapore, May 9-10, 2016, Revised Selected Papers
A) Moving to spike block (b) Moving to air block Fig. 4. , moving to a block made of spike or air material) in the Simple Mario domain. 1 Knowledge Representation The transition diagram of our illustrative domain is described in an action language ALd . Action languages are formal models of parts of natural language used for describing transition diagrams. ALd has a sorted signature containing three sorts: statics, fluents and actions. Statics are domain properties whose truth values cannot be changed by actions, while ﬂuents are properties whose truth values can be changed by actions—actions refer to a set of elementary actions.
46, 388–404 (2012) 16. : A competitive texas hold’em poker player via automated abstraction and real-time equilibrium computation. In: Proceedings of the National Conference on Artiﬁcial Intelligence (AAAI), vol. 21, p. 1007 (2006) 17. : Better automated abstraction techniques for imperfect information games, with application to texas hold’em poker. In: International Foundation for Autonomous Agents and Multiagent Systems (AAMAS), p. 192 (2007) 18. : Lossless abstraction of imperfect information games.
Theory Appl. 26(4), 637–643 (1978) 26. : Making the most of our regrets: regret-based solutions to handle payoﬀ uncertainty and elicitation in green security games. , Theodorakopoulos, G. ) GameSec 2015. LNCS, vol. 9406, pp. 170–191. Springer, Heidelberg (2015). 1007/978-3-319-25594-1 10 27. : Playing games for security: an eﬃcient exact algorithm for solving bayesian stackelberg games. In: Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems, vol. 2, pp.