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008			110328s2011 gw | s |||| 0|eng d
020			_a9783642196188 _9978-3-642-19618-8
040			_cMX-MeUAM
050		4	_aQ342
082	0	4	_a006.3 _223
100	1		_aHatzilygeroudis, Ioannis. _eeditor.
245	1	0	_aCombinations of Intelligent Methods and Applications _h[recurso electrónico] : _bProceedings of the 2nd International Workshop, CIMA 2010, France, October 2010 / _cedited by Ioannis Hatzilygeroudis, Jim Prentzas.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aX, 170 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSmart Innovation, Systems and Technologies, _x2190-3018 ; _v8
505	0		_aDefeasible Planning through Multi-Agent Argumentation .-Operator behavior modelling in a submarine .-Automatic Wrapper Adaptation by Tree Edit Distance Matching -- Representing Temporal Knowledge in the Semantic Web: The Extended 4D Fluents Approach -- Combining a Multi-Document Update Summarization System –CBSEAS– with a Genetic Algorithm -- Extraction of Essential Events with Application to Damage Evaluation on Fuel Cells -- Detecting car accidents based on traffic flow measurements using machine learning techniques -- Next Generation Environments for Context-aware Learning Design -- Neurules-A Type of Neuro-Symbolic Rules: An Overview.
520			_aThe combination of different intelligent methods is a very active research area in Artificial Intelligence (AI). The aim is to create integrated or hybrid methods that benefit from each of their components. Some of the existing efforts combine soft computing methods either among themselves or with more traditional AI methods such as logic and rules. Another stream of efforts integrates machine learning with soft-computing or traditional AI methods. Yet another integrates agent-based approaches with logic and also non-symbolic approaches. Some of the combinations have been quite important and more extensively used, like neuro-symbolic methods, neuro-fuzzy methods and methods combining rule-based and case-based reasoning. However, there are other combinations that are still under investigation, such as those related to the Semantic Web.   The 2nd Workshop on “Combinations of Intelligent Methods and Applications” (CIMA 2010) was intended to become a forum for exchanging experience and ideas among researchers and practitioners who are dealing with combining intelligent methods either based on first principles or in the context of specific applications. CIMA 2010 was held in conjunction with the 22nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2010). Also, a special track was organized in ICTAI 2010, under the same title.   This volume includes revised versions of the papers presented in CIMA 2010 and one of the short papers presented in the corresponding ICTAI 2010 special track. It also includes a paper of the editors as invited.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650	1	4	_aEngineering.
650	2	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence (incl. Robotics).
700	1		_aPrentzas, Jim. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642196171
830		0	_aSmart Innovation, Systems and Technologies, _x2190-3018 ; _v8
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-19618-8
596			_a19
942			_cLIBRO_ELEC
999			_c203770 _d203770