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 lawsuits 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 a variety of submissions. the 1st quantity comprises 50 papers representing the present major subject matters of curiosity for the AI neighborhood and their functions. The papers are geared up within the following topical sections: computerized reasoning and multi-agent structures; challenge fixing and computing device studying; common language processing; robotics, making plans and scheduling; and scientific purposes of man-made intelligence.
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Additional resources for Advances in Artificial Intelligence: 14th Conference of the Spanish Association for Artificial Intelligence, Caepia 2011, La Laguna, Spain, November 7-11, 2011. Proceedings
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.
The responsible of the organization when the system started from scratch used the CA and SVA to create user and technical 30 E. S´ anchez-Nielsen, A. Padr´ on-Ferrer, and F. Marreo-Est´evez staﬀ accounts, categories of incidents, severity of incidents, select scheduler algorithms to be used, and SLAs. The process of starting the system from scratch involved technical staﬀ to record all the data of the incidents, such as recording the four-tuple representation and editing the work agenda with the solution procedure.
We thus claim that this innovative approach can be highly relevant for normative MASs, since, to the best of our knowledge, no general norm generation methods have been established yet that are capable to adapt the set of regulations during the execution of the system. Although norms are evaluated individually, their evaluation depends on the state reached each time they are applicable, and this state depends on all applicable norms. Applicable norms are then evaluated as a set of norms. If the application of a set of norms leads to a non-conflictive situation, the score of each norm would increase, while if their application leads to a conflictive situation, norms score would decrease.
Advances in Artificial Intelligence: 14th Conference of the Spanish Association for Artificial Intelligence, Caepia 2011, La Laguna, Spain, November 7-11, 2011. Proceedings by Javier Insa-Cabrera, David L. Dowe, José Hernández-Orallo (auth.), Jose A. Lozano, José A. Gámez, José A. Moreno (eds.)