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001387807 035__ $$a(OCoLC)801409259$$z(OCoLC)827009351$$z(OCoLC)892340545$$z(OCoLC)982074204$$z(OCoLC)988467918$$z(OCoLC)990603301$$z(OCoLC)991971595$$z(OCoLC)992502392$$z(OCoLC)994989168$$z(OCoLC)1037918097$$z(OCoLC)1038695482$$z(OCoLC)1055339426$$z(OCoLC)1064151335$$z(OCoLC)1081194077$$z(OCoLC)1086462808
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001387807 1001_ $$aHolland, John H.$$q(John Henry),$$d1929-2015.
001387807 24510 $$aSignals and boundaries :$$bbuilding blocks for complex adaptive systems /$$cJohn H. Holland.
001387807 260__ $$aCambridge, Mass. :$$bMIT Press,$$c©2012.
001387807 264_4 $$c©2012
001387807 300__ $$a1 online resource (viii, 308 pages) :$$billustrations
001387807 336__ $$atext$$btxt$$2rdacontent
001387807 337__ $$acomputer$$bc$$2rdamedia
001387807 338__ $$aonline resource$$bcr$$2rdacarrier
001387807 506__ $$aAccess limited to authorized users.
001387807 520__ $$aComplex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies with memoranda acting as signals; and so it is with other cas. Despite a wealth of data and descriptions concerning different cas, there remain many unanswered questions about "steering" these systems. In Signals and Boundaries, John Holland argues that understanding the origin of the intricate signal/border hierarchies of these systems is the key to answering such questions. He develops an overarching framework for comparing and steering cas through the mechanisms that generate their signal/boundary hierarchies. Holland lays out a path for developing the framework that emphasizes agents, niches, theory, and mathematical models. He discusses, among other topics, theory construction; signal-processing agents; networks as representations of signal/boundary interaction; adaptation; recombination and reproduction; the use of tagged urn models (adapted from elementary probability theory) to represent boundary hierarchies; finitely generated systems as a way to tie the models examined into a single framework; the framework itself, illustrated by a simple finitely generated version of the development of a multi-celled organism; and Markov processes.
001387807 588__ $$aOCLC-licensed vendor bibliographic record.
001387807 650_0 $$aAdaptive control systems.
001387807 650_0 $$aAdaptation (Biology)$$xMathematical models.
001387807 650_0 $$aSignals and signaling$$xMathematical models.
001387807 653__ $$aCOGNITIVE SCIENCES/General
001387807 653__ $$aCOMPUTER SCIENCE/General
001387807 655_0 $$aElectronic books
001387807 852__ $$bebk
001387807 85640 $$3MIT Press$$uhttps://univsouthin.idm.oclc.org/login?url=https://doi.org/10.7551/mitpress/9412.001.0001?locatt=mode:legacy$$zOnline Access through The MIT Press Direct
001387807 85642 $$3OCLC metadata license agreement$$uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
001387807 909CO $$ooai:library.usi.edu:1387807$$pGLOBAL_SET
001387807 980__ $$aBIB
001387807 980__ $$aEBOOK
001387807 982__ $$aEbook
001387807 983__ $$aOnline