000			04192nam a22006015i 4500
001			978-3-540-88138-4
003			DE-He213
005			20160624102123.0
007			cr nn 008mamaa
008			100301s2008 gw | s |||| 0|eng d
020			_a9783540881384 _9978-3-540-88138-4
024	7		_a10.1007/978-3-540-88138-4 _2doi
050		4	_aQ334-342
050		4	_aTJ210.2-211.495
072		7	_aUYQ _2bicssc
072		7	_aTJFM1 _2bicssc
072		7	_aCOM004000 _2bisacsh
082	0	4	_a006.3 _223
245	1	0	_aLearning Classifier Systems _h[electronic resource] : _b10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers / _cedited by Jaume Bacardit, Ester Bernadó-Mansilla, Martin V. Butz, Tim Kovacs, Xavier Llorà, Keiki Takadama.
260		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008.
300			_aX, 307 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Computer Science, _x0302-9743 ; _v4998
505	0		_aLearning Classifier Systems: Looking Back and Glimpsing Ahead -- Knowledge Representations -- Analysis of Population Evolution in Classifier Systems Using Symbolic Representations -- Investigating Scaling of an Abstracted LCS Utilising Ternary and S-Expression Alphabets -- Evolving Fuzzy Rules with UCS: Preliminary Results -- Analysis of the System -- A Principled Foundation for LCS -- Revisiting UCS: Description, Fitness Sharing, and Comparison with XCS -- Mechanisms -- Analysis and Improvements of the Classifier Error Estimate in XCSF -- A Learning Classifier System with Mutual-Information-Based Fitness -- On Lookahead and Latent Learning in Simple LCS -- A Learning Classifier System Approach to Relational Reinforcement Learning -- Linkage Learning, Rule Representation, and the ?-Ary Extended Compact Classifier System -- New Directions -- Classifier Conditions Using Gene Expression Programming -- Evolving Classifiers Ensembles with Heterogeneous Predictors -- Substructural Surrogates for Learning Decomposable Classification Problems -- Empirical Evaluation of Ensemble Techniques for a Pittsburgh Learning Classifier System -- Applications -- Technology Extraction of Expert Operator Skills from Process Time Series Data -- Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks.
520			_aThis book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 - all hosted by the Genetic and Evolutionary Computation Conference, GECCO. The 14 revised full papers presented were carefully reviewed and selected from the workshop contributions. The papers are organized in topical sections on knowledge representation, analysis of the system, mechanisms, new directions, as well as applications.
650		0	_aComputer science.
650		0	_aData mining.
650		0	_aArtificial intelligence.
650	1	4	_aComputer Science.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aMathematical Logic and Formal Languages.
650	2	4	_aData Mining and Knowledge Discovery.
650	2	4	_aModels and Principles.
650	2	4	_aComputation by Abstract Devices.
700	1		_aBacardit, Jaume. _eeditor.
700	1		_aBernadó-Mansilla, Ester. _eeditor.
700	1		_aButz, Martin V. _eeditor.
700	1		_aKovacs, Tim. _eeditor.
700	1		_aLlorà, Xavier. _eeditor.
700	1		_aTakadama, Keiki. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540881377
786			_dSpringer
830		0	_aLecture Notes in Computer Science, _x0302-9743 ; _v4998
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-88138-4
942			_2EBK8245 _cEBK
999			_c37539 _d37539