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101 0 $aeng
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181   $ctxt
182   $cc
183   $acr
200 10$aMICAI 2007: Advances in Artificial Intelligence $e6th Mexican International Conference on Artificial Intelligence, Aguascalientes, Mexico, November 4-10, 2007, Proceedings /$fedited by Alexander Gelbukh, Àngel Fernando Kuri Morales
205   $a1st ed. 2007.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2007.
215   $a1 online resource (XXXVII, 1236 p.)
225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v4827
300   $aBibliographic Level Mode of Issuance: Monograph
311 08$a3-540-76630-8 
320   $aIncludes bibliographical references and index.
327   $aComputational Intelligence -- Neural Networks -- Knowledge Representation and Reasoning -- Agents and Multiagent Systems -- Machine Learning and Data Mining -- Image Processing, Computer Vision, and Robotics -- Natural Language Processing -- Speech Processing and Human-Computer Interfaces -- Planning and Scheduling -- Bioinformatics and Medical Applications -- Industrial Applications -- Intelligent Tutoring Systems.
330   $aArtificial Intelligence is a branch of computer science that studies heuristic methods of solving complex problems. Historically the first such tasks modeled human intellectual activity: reasoning, learning, seeing and speaking. Later similar methods were extended to super-complex optimization problems that appear in science, social life and industry. Many methods of Artificial Intelligence are borrowed from nature, where there occur similar super-complex problems such as those related to survival, development, and behavior of living organisms. The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized by the Mexican Society for Artificial Intelligence (SMIA), is a major international AI forum and the main event in the academic life of the country?s growing AI community. The proceedings of the previous MICAI events were published by Springer in its Lecture Notes in Artificial Intelligence (LNAI) series, vol. 1793, 2313, 2972, 3789, and 4293. Since its foundation in 2000, the conference has shown a stable growth in popularity (see Figures 1 and 3) and improvement in quality (see Fig. 2). The 25% acceptance rate milestone was passed for the first time this year.
410  0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v4827
606   $aArtificial intelligence
606   $aComputer science
606   $aMachine theory
606   $aComputer vision
606   $aArtificial Intelligence
606   $aTheory of Computation
606   $aFormal Languages and Automata Theory
606   $aComputer Vision
615  0$aArtificial intelligence.
615  0$aComputer science.
615  0$aMachine theory.
615  0$aComputer vision.
615 14$aArtificial Intelligence.
615 24$aTheory of Computation.
615 24$aFormal Languages and Automata Theory.
615 24$aComputer Vision.
676   $a006.3
702   $aKuri Morales$b Angel Fernando
702   $aGelbukh$b Alexander$f1962-
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910483992703321
996   $aMICAI 2007: Advances in Artificial Intelligence$9772643
997   $aUNINA