000 | 04078nam a22004935i 4500 | ||
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001 | 978-3-540-70829-2 | ||
003 | DE-He213 | ||
005 | 20161121230542.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2008 gw | s |||| 0|eng d | ||
020 |
_a9783540708292 _9978-3-540-70829-2 |
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024 | 7 |
_a10.1007/978-3-540-70829-2 _2doi |
|
050 | 4 | _aTA329-348 | |
050 | 4 | _aTA640-643 | |
072 | 7 |
_aTBJ _2bicssc |
|
072 | 7 |
_aMAT003000 _2bisacsh |
|
082 | 0 | 4 |
_a519 _223 |
245 | 1 | 0 |
_aOppositional Concepts in Computational Intelligence _h[electronic resource] / _cedited by Hamid R. Tizhoosh, Mario Ventresca. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008. |
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300 |
_aXII, 328 p. 72 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v155 |
|
505 | 0 | _aI: Motivations and Theory -- Opposition-Based Computing -- Antithetic and Negatively Associated Random Variables and Function Maximization -- Opposition and Circularity -- II: Search and Reasoning -- Collaborative vs. Conflicting Learning, Evolution and Argumentation -- Proof-Number Search and Its Variants -- III: Optimization -- Improving the Exploration Ability of Ant-Based Algorithms -- Differential Evolution Via Exploiting Opposite Populations -- Evolving Opposition-Based Pareto Solutions: Multiobjective Optimization Using Competitive Coevolution -- IV: Learning -- Bayesian Ying-Yang Harmony Learning for Local Factor Analysis: A Comparative Investigation -- The Concept of Opposition and Its Use in Q-Learning and Q(?) Techniques -- Two Frameworks for Improving Gradient-Based Learning Algorithms -- V: Real World Applications -- Opposite Actions in Reinforced Image Segmentation -- Opposition Mining in Reservoir Management. | |
520 | _aThis volume is motivated in part by the observation that opposites permeate everything around us, in some form or another. Its study has attracted the attention of countless minds for at least 2500 years. However, due to the lack of an accepted mathematical formalism for opposition it has not been explicitly studied to any great length in fields outside of philosophy and logic. Despite the fact that we observe opposition everywhere in nature, our minds seem to divide the world into entities and opposite entities; indeed we use opposition everyday. We have become so accustomed to opposition that its existence is accepted, not usually questioned and its importance is constantly overlooked. On the one hand, this volume is a fist attempt to bring together researchers who are inquiring into the complementary nature of systems and processes and, on the other hand, it provides some elementary components for a framework to establish a formalism for opposition-based computing. From a computational intelligence perspective, many successful opposition-based concepts have been in existence for a long time. It is not the authors intention to recast these existing methods, rather to elucidate that, while diverse, they all share the commonality of opposition - in one form or another, either implicitly or explicitly. Therefore they have attempted to provide rough guidelines to understand what makes concepts "oppositional". | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aApplied mathematics. | |
650 | 0 | _aEngineering mathematics. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aAppl.Mathematics/Computational Methods of Engineering. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
700 | 1 |
_aTizhoosh, Hamid R. _eeditor. |
|
700 | 1 |
_aVentresca, Mario. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540708261 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v155 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-540-70829-2 |
912 | _aZDB-2-ENG | ||
950 | _aEngineering (Springer-11647) | ||
999 |
_c500462 _d500462 |