Advances in Artificial Intelligence: 14th Conference of the by Javier Insa-Cabrera, David L. Dowe, José Hernández-Orallo

By Javier Insa-Cabrera, David L. Dowe, José Hernández-Orallo (auth.), Jose A. Lozano, José A. Gámez, José A. Moreno (eds.)

The two-volume set LNAI 7094 and LNAI 7095 constitutes the refereed complaints of the tenth Mexican foreign convention on synthetic Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The ninety six revised papers provided have been conscientiously reviewed and chosen from various submissions. the 1st quantity contains 50 papers representing the present major subject matters of curiosity for the AI neighborhood and their purposes. The papers are geared up within the following topical sections: automatic reasoning and multi-agent platforms; challenge fixing and computing device studying; typical language processing; robotics, making plans and scheduling; and clinical functions of synthetic intelligence.

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However, since the norm is necessary from the point of view Gcols , the norm is later generated again in another case and its life cycle starts again. As a consequence, collisions are not completely eradicated, but the number of car stops is reduced with respect to experiment 1. 20 J. Morales, M. L´opez-S´anchez, and M. Esteva 6 Conclusions This paper proposes a method to generate new regulations for multi-agent systems. Specifically, regulations are generated by a regulation authority using an unsupervised variation of Case Based Reasoning (CBR), when a conflictive situation arises.

Initially, when the system start from scratch, the technical staff is responsible of generating the four-tuple representation for the text incident. Subsequently, the system learns from the words introduced in the dictionary and then generate in an automated way, the four-tuple representation. Once the incident recorded in the system has been partitioned into the quadruplet structure by the Incident Agent, a matching process is computed in order to determine similar previously solved incidents. The matching process is based on comparing the new quadruplet structure with each one of the structures stored using a weighting algorithm.

Keywords: Agent-based computational economics, market selforganisation, reinforcement learning, regression learning. 1 Introduction Ever since the introduction of the concept of competitive market equilibrium by Leon Walras [14], economists have thought about the question how markets could eventually get to this state. And indeed, this is a reasonable question, since economic equilibrium is defined as a set of prices and endowments, such that every market participant is maximizing her profit or utility.

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