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024 7 _a10.1007/978-3-540-76631-5
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245 1 0 _aMICAI 2007: Advances in Artificial Intelligence
_h[electronic resource] :
_b6th Mexican International Conference on Artificial Intelligence, Aguascalientes, Mexico, November 4-10, 2007, Proceedings /
_cedited by Alexander Gelbukh, Àngel Fernando Kuri Morales.
250 _a1st ed. 2007.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2007.
300 _aXXXVII, 1236 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v4827
505 0 _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.
520 _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.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer science.
_99832
650 0 _aMachine theory.
_9162710
650 0 _aComputer vision.
_9162711
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aTheory of Computation.
_9162712
650 2 4 _aFormal Languages and Automata Theory.
_9162713
650 2 4 _aComputer Vision.
_9162714
700 1 _aGelbukh, Alexander.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9162715
700 1 _aKuri Morales, Àngel Fernando.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9162716
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Artificial Intelligence,
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_v4827
_9162718
856 4 0 _uhttps://doi.org/10.1007/978-3-540-76631-5
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