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 court cases of the tenth Mexican overseas convention on man made Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The ninety six revised papers awarded have been rigorously reviewed and chosen from various submissions. the 1st quantity comprises 50 papers representing the present major subject matters of curiosity for the AI group and their functions. The papers are equipped within the following topical sections: computerized reasoning and multi-agent structures; challenge fixing and computing device studying; average language processing; robotics, making plans and scheduling; and scientific purposes of synthetic intelligence.
Read or Download Advances in Artificial Intelligence: 14th Conference of the Spanish Association for Artificial Intelligence, Caepia 2011, La Laguna, Spain, November 7-11, 2011. Proceedings PDF
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Additional info for Advances in Artificial Intelligence: 14th Conference of the Spanish Association for Artificial Intelligence, Caepia 2011, La Laguna, Spain, November 7-11, 2011. Proceedings
In experiment 1, that uses Evaluation of an Automated Mechanism for Generating New Regulations 19 Fig. 5. Results for experiments 3 and 4. Experiment 3: Norm generation with both goals of minimizing collisions and to have fluid traffic. b. our norm generation method and takes into account only Gcols , this norm is generated and finally consolidated, but never deactivated. Thus, it is always part of the final set of norms. This is due to the fact that this norm is necessary, since its violations always lead to a collision.
The ontology of the system includes a dictionary implemented by a graph data structure with the purpose of recording the diﬀerent components of the four-tuple representation. 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.
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. Generated norms are evaluated in an iterative manner in terms of their efficiency and necessity according to system goals.