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AI 2009: Advances in Artificial Intelligence - 22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009, Proceedings (Paperback, 2009 ed.)
Loot Price: R2,909
Discovery Miles 29 090
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AI 2009: Advances in Artificial Intelligence - 22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009, Proceedings (Paperback, 2009 ed.)
Series: Lecture Notes in Artificial Intelligence, 5866
Expected to ship within 10 - 15 working days
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Total price: R2,929
Discovery Miles: 29 290
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We are pleased to present this LNCS volume, the Proceedings of the
22nd A- tralasianJointConferenceonArti?cialIntelligence(AI2009),
heldinMelbourne, Australia, December 1-4,2009.This long established
annual regionalconference is a forum both for the presentation of
researchadvances in arti?cial intelligence and for scienti?c
interchange amongst researchers and practitioners in the ?eld of
arti?cial intelligence. Conference attendees were also able to
enjoy AI 2009 being co-located with the Australasian Data Mining
Conference (AusDM 2009) and the 4th Australian Conference on
Arti?cial Life (ACAL 2009). This year AI 2009 received 174
submissions, from authors of 30 di?erent countries. After an
extensive peer review process where each submitted paper was
rigorously reviewed by at least 2 (and in most cases 3) independent
revi- ers, the best 68 papers were selected by the senior Program
Committee for oral presentation at the conference and included in
this volume, resulting in an - ceptance rate of 39%. The papers
included in this volume cover a wide range of topics in arti?cial
intelligence: from machine learning to natural language s- tems,
from knowledge representation to soft computing, from theoretical
issues to real-world applications. AI 2009 also included 11
tutorials, available through the First Australian Computational
Intelligence Summer School (ACISS 2009). These tutorials - some
introductory, some advanced - covered a wide range of research
topics within arti?cial intelligence, including data mining, games,
evolutionary c- putation, swarm optimization, intelligent agents,
Bayesian and belief networks
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