Complexity and Postmodernism: Understanding Complex SystemsRoutledge, 11 sep 2002 - 176 pagina's In Complexity and Postmodernism, Paul Cilliers explores the idea of complexity in the light of contemporary perspectives from philosophy and science. Cilliers offers us a unique approach to understanding complexity and computational theory by integrating postmodern theory (like that of Derrida and Lyotard) into his discussion. Complexity and Postmodernism is an exciting and an original book that should be read by anyone interested in gaining a fresh understanding of complexity, postmodernism and connectionism. |
Inhoudsopgave
Introducing connectionism | 25 |
Poststructuralism connectionism and complexity | 37 |
John Searle befuddles | 48 |
Problems with representation | 58 |
Selforganisation in complex systems | 89 |
Complexity and postmodernism | 112 |
Understanding complexity | 141 |
Overige edities - Alles bekijken
Complexity and Postmodernism: Understanding Complex Systems Paul Cilliers Gedeeltelijke weergave - 1998 |
Complexity and Postmodernism: Understanding Complex Systems Paul Cilliers Gedeeltelijke weergave - 2002 |
Veelvoorkomende woorden en zinsdelen
abstract activity algorithm analysed approach argue argument aspects becomes behaviour brain chaos theory Chapter characteristics of complex Chinese Room Churchland claim cognitive complex systems components concept connectionism connectionist models context critique Derrida described determined develop différance discourses discussed distributed representation distributedness dynamics elements encode environment ethics example external Fodor and Pylyshyn function groups Hilary Putnam implemented implications important input Intentionality interaction interconnected internal structure interpretation language large number layer linguistic logical Lyotard machine meaning metanarrative metaphysics of presence models of complexity narrative nature neural networks neurons nodes non-linear notion organisation output patterns perform perspective philosophical possible post-structural post-structural theory present principle problem relationships represent result rule-based rules Saussure scientific knowledge Searle Searle's self-organised criticality self-organising systems semantic sense signifier simulated specific Sterelny synapses theory of representation tion trace Turing Turing machine Turing test understanding values weights