Download Advances in Artificial Intelligence - IBERAMIA-SBIA 2006: by Frank Dignum (auth.), Jaime Simão Sichman, Helder Coelho, PDF

By Frank Dignum (auth.), Jaime Simão Sichman, Helder Coelho, Solange Oliveira Rezende (eds.)

The Brazilian Arti?cial Intelligence (AI) group made up our minds in 2004 to arrange a global Joint convention, becoming a member of IBERAMIA 2006 (the tenth Ibero-American Arti?cial Intelligence Conference), SBIA 2006 (the 18th Brazilian Arti?cial Int- ligence Symposium), and SBRN 2006 (the ninth Brazilian Neural Networks Sym- sium). This selection used to be a end result of the profitable occasion equipped in 2000, while the 1st foreign Joint convention IBERAMIA/ SBIA 2000 (7th Ibero- American Arti?cial Intelligence convention and fifteenth Brazilian Arti?cial Intel- gence Symposium) happened in Brazil. furthermore, in 2006 the arti?cial intelligence neighborhood celebrated the golden anniversary of the 1956 Dartmouth convention that marked the start of arti?cial intelligence as a learn ?eld. th SBIA 2006 used to be the 18 convention of the SBIA convention sequence, that's the major Brazilian convention for the presentation of AI study and purposes. in view that 1995, SBIA has turn into a world convention, with papers written in English, a world application Committee, and complaints released in Springer’s Lecture Notes in Arti?cial Intelligence (LNAI) sequence. th IBERAMIA 2006 used to be the ten convention of the IBERAMIA convention - ries, which has been essentially the most appropriate boards for Ibero-American AI researchers (from South and vital American nations, Mexico, Spain and Portugal) to give their effects. Following the SBIA and EPIA (Portuguese convention on AI) reviews, from IBERAMIA 1998 on, it has additionally develop into a global convention with lawsuits released in Springer’s LNAI series.

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Extra resources for Advances in Artificial Intelligence - IBERAMIA-SBIA 2006: 2nd International Joint Conference, 10th Ibero-American Conference on AI, 18th Brazilian AI Symposium, Ribeirão Preto, Brazil, October 23-27, 2006. Proceedings

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S. Sichman et al. ): IBERAMIA-SBIA 2006, LNAI 4140, pp. 37 – 47, 2006. © Springer-Verlag Berlin Heidelberg 2006 38 P. Trigo, A. Jonsson, and H. Coelho there exist game theoretic approaches that require each agent to compute the utility of all combinations of actions executed by all other agents (payoff matrix) which is then used to search for Nash equilibria [10] (where no agent increases his payoff by unilaterally changing his policy); thus, when several equilibrium exist, agents may adhere to individual policies that are not pulled by a collective perspective.

We first recall (from [12]) the multi-option, Ű, formulation: at each time instant the set of agents, ϒ, concurrently executes a |ϒ|-tuple of options, Ű = ¢o 1, …, o |ϒ|², such that each agent j ∈ ϒ is executing option o j ≡ ¢Ij, πj, βj², for j=1,…,|ϒ|. In a partially observable environment, an agent may only observe part of the state. Let S j be the set of partial states observed by agent j, and let H j be the set of partial states hidden to j. The complete set of states is S = S j × H j. For each option available to j, the initiation set is Ij ⊆ S j, which means that the option is available whenever a state s ∈ ( Ij × H j ) ⊆ S, since for agent j the hidden part of the state is irrelevant.

EMORPHIA. FIPA-OS - FIPA - Open Source. htm. (2005). 7. FIPA: The foundation for Intelligent Physical Agents. Specifications. org. (2002). 8. Friesen, Norm . What are Educational Objects? Interactive Learning Environments, 3 (9). 9. IEEE Learning Technology Standards Committee (2004). Specifications. org. (2001). 10. IMS Global Learning Consortium. Current specifications. cfm. (2004). 11. Jaques, P. A. et. al. An Animated Pedagogical Agent that Interacts Affectively with the Student. AIED 2003, shaping the future of learning through intelligent technologies.

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