000 04078nam a22004935i 4500
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
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.
300 _aXII, 328 p. 72 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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