00848nam0-22002771i-450-990001282860403321000128286FED01000128286(Aleph)000128286FED0100012828620000920d1987----km-y0itay50------baengPertubation Methods, Bifurcation Theory and Computer Algebraby Rand Richard and Armbruster DieterNew York [etc.]Springer-Verlag1987Applied mathematical sciences, 65Rand,Richard H.58521Armbruster,DieterITUNINARICAUNIMARCBK990001282860403321C-33-(653615MA1MA1Pertubation Methods, Bifurcation Theory and Computer Algebra384376UNINAING0103311nam 2200661 a 450 991043792590332120200520144314.09781283911542128391154X9783642329524364232952710.1007/978-3-642-32952-4(CKB)2670000000279893(EBL)1082622(OCoLC)821049508(SSID)ssj0000798871(PQKBManifestationID)11497625(PQKBTitleCode)TC0000798871(PQKBWorkID)10754958(PQKB)10011088(DE-He213)978-3-642-32952-4(MiAaPQ)EBC1082622(PPN)16832315X(EXLCZ)99267000000027989320120801d2013 uy 0engur|n|---|||||txtccrThe local information dynamics of distributed computation in complex systems /Joseph T. Lizier1st ed. 2013.New York Springer20131 online resource (248 p.)Springer theses,2190-5053Description based upon print version of record.9783642438196 3642438199 9783642329517 3642329519 Includes bibliographical references and index.Introduction -- Computation in complex systems -- Information storage -- Information transfer -- Information modifications -- Information dynamics in networks and phase transitions -- Coherent information structure in complex computation -- Information transfer in biological and bio-inspired systems -- Conclusion.The nature of distributed computation in complex systems has often been described in terms of memory, communication and processing. This thesis presents a complete information-theoretic framework to quantify these operations on information (i.e. information storage, transfer and modification), and in particular their dynamics in space and time. The framework is applied to cellular automata, and delivers important insights into the fundamental nature of distributed computation and the dynamics of complex systems (e.g. that gliders are dominant information transfer agents). Applications to several important network models, including random Boolean networks, suggest that the capability for information storage and coherent transfer are maximized near the critical regime in certain order-chaos phase transitions. Further applications to study and design information structure in the contexts of computational neuroscience and guided self-organization underline the practical utility of the techniques presented here.  .Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053Communication of technical informationEntropyCommunication of technical information.Entropy.004004.36Lizier Joseph T1060659MiAaPQMiAaPQMiAaPQBOOK9910437925903321The Local Information Dynamics of Distributed Computation in Complex Systems2514786UNINA