LEADER 03311nam 2200661 a 450 001 9910437925903321 005 20200520144314.0 010 $a9781283911542 010 $a128391154X 010 $a9783642329524 010 $a3642329527 024 7 $a10.1007/978-3-642-32952-4 035 $a(CKB)2670000000279893 035 $a(EBL)1082622 035 $a(OCoLC)821049508 035 $a(SSID)ssj0000798871 035 $a(PQKBManifestationID)11497625 035 $a(PQKBTitleCode)TC0000798871 035 $a(PQKBWorkID)10754958 035 $a(PQKB)10011088 035 $a(DE-He213)978-3-642-32952-4 035 $a(MiAaPQ)EBC1082622 035 $a(PPN)16832315X 035 $a(EXLCZ)992670000000279893 100 $a20120801d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe local information dynamics of distributed computation in complex systems /$fJoseph T. Lizier 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (248 p.) 225 0$aSpringer theses,$x2190-5053 300 $aDescription based upon print version of record. 311 08$a9783642438196 311 08$a3642438199 311 08$a9783642329517 311 08$a3642329519 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- 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. 330 $aThe nature of distributed computation in complex systems has often been described in terms of memory, communication and processing. This thesis presents a complete information-theoretic framework to quantify these operations on information (i.e. information storage, transfer and modification), and in particular their dynamics in space and time. The framework is applied to cellular automata, and delivers important insights into the fundamental nature of distributed computation and the dynamics of complex systems (e.g. that gliders are dominant information transfer agents). Applications to several important network models, including random Boolean networks, suggest that the capability for information storage and coherent transfer are maximized near the critical regime in certain order-chaos phase transitions. Further applications to study and design information structure in the contexts of computational neuroscience and guided self-organization underline the practical utility of the techniques presented here.  . 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aCommunication of technical information 606 $aEntropy 615 0$aCommunication of technical information. 615 0$aEntropy. 676 $a004 676 $a004.36 700 $aLizier$b Joseph T$01060659 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437925903321 996 $aThe Local Information Dynamics of Distributed Computation in Complex Systems$92514786 997 $aUNINA