國立虎尾科技大學 |

Memory evolutive systems = hierarchy, emergence, cognition.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Memory evolutive systems/
其他題名:	hierarchy, emergence, cognition.
其他作者:	Charles Ehresmann, Andr�ee.
出版者:	[S.l.] :Elsevier Science, : 2007.,
面頁冊數:	1 online resource (1 v.)
標題:	Self-organizing systems. -
電子資源:	http://www.sciencedirect.com/science/book/9780444522443
ISBN:	9780444522443

Memory evolutive systems = hierarchy, emergence, cognition.
Memory evolutive systemshierarchy, emergence, cognition.[electronic resource] : - [S.l.] :Elsevier Science,2007. - 1 online resource (1 v.) - Studies in multidisciplinarity ;v. 4. - Studies in multidisciplinarity ;v. 4..

Includes bibliographical references and index.

Part A: Hierarchy. Emergence -- Chapter 1: Net of Interactions and Categories -- Chapter 2: The Binding Problem -- Chapter 3: Hierarchy and Reductionism -- Chapter 4: Complexifications and Emergence -- Part B: Memory Evolutive Systems -- Chapter 5: Evolutionary Systems -- Chapter 6: Internal Organization and MES -- Chapter 7: Robustness and Plasiticity -- Chapter 8: Memory and Learning -- Part C: Application to Cognition and Consciousness -- Chapter 9: Cognitive Systems and MES of CAT-Neurons -- Chapter10: Semantics, Archetypal Core and Consciousness.

The theory of Memory Evolutive Systems represents a mathematical model for natural open self-organizing systems, such as biological, sociological or neural systems. In these systems, the dynamics are modulated by the cooperative and/or competitive interactions between the global system and a net of internal Centers of Regulation (CR) wich a differential access to a central heirarchical Memory. The MES proposes a mathematical model for autonomous evolutionary systems and is based on the Category Theory of mathematics. It provides a framework to study and possibly simulate the structre of "living systems" and their dynamic behavior. MES explores what characterizes a complex evolutionary system, what distinguishes it from inanimate physical systems, its functioning and evolution in time, from its birth to its death. The behavior of this type of system depends heavily on its former experiences, and a model representing the system over a period of time, could anticipate later behavior and perhaps even predict some evolutionary alternatives. The role of the MES model will be two-fold: theoretical, for a comprehension of a fundamental nature and practical, for applications in biology, medicine, sociology, ecology, economy, meteorology, and other sciences. Key Features: *Comprehensive and comprehensible coverage of Memory Evolutive System *Written by the developers of the Memory Evolutive Systems *Designed to explore the common language between sciences.

ISBN: 9780444522443

Source: 114571:114664Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

566022
Self-organizing systems.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: Q325 / .C43 2007eb

Dewey Class. No.: 003/.7

Memory evolutive systems = hierarchy, emergence, cognition.
LDR:03718cam 2200469Ia 4500 001 691240
003 OCoLC
005 20111122091016.0
006 m d
007 cr cn|||||||||
008 120103s2007 xx ob 001 0 eng d
019 $a 213273555 $a 441819907 $a 476132445 $a 648350016
020 $a 9780444522443
020 $a 0444522441
020 $a 9780080555416 (electronic bk.)
020 $a 0080555411 (electronic bk.)
020 $a 9786611186807
020 $a 6611186808
029 1 $a NZ1 $b 11778673
029 1 $a AU@ $b 000045251909
029 1 $a HEBIS $b 204204135
035 $a (OCoLC)166352090 $z (OCoLC)213273555 $z (OCoLC)441819907 $z (OCoLC)476132445 $z (OCoLC)648350016
035 $a ocn166352090
037 $a 114571:114664 $b Elsevier Science & Technology $n http://www.sciencedirect.com
040 $a OPELS $b eng $c OPELS $d OPELS $d OCLCQ $d N$T $d YDXCP $d MERUC $d IDEBK $d EBLCP $d NRU $d E7B $d OCLCQ
049 $a TEFA
050 4 $a Q325 $b .C43 2007eb
072 7 $a SCI $x 064000 $2 bisacsh
082 0 4 $a 003/.7 $2 22
245 0 0 $a Memory evolutive systems $h [electronic resource] : $b hierarchy, emergence, cognition.
260 $a [S.l.] : $b Elsevier Science, $c 2007.
300 $a 1 online resource (1 v.)
490 1 $a Studies in multidisciplinarity ; $v v. 4
504 $a Includes bibliographical references and index.
505 0 $a Part A: Hierarchy. Emergence -- Chapter 1: Net of Interactions and Categories -- Chapter 2: The Binding Problem -- Chapter 3: Hierarchy and Reductionism -- Chapter 4: Complexifications and Emergence -- Part B: Memory Evolutive Systems -- Chapter 5: Evolutionary Systems -- Chapter 6: Internal Organization and MES -- Chapter 7: Robustness and Plasiticity -- Chapter 8: Memory and Learning -- Part C: Application to Cognition and Consciousness -- Chapter 9: Cognitive Systems and MES of CAT-Neurons -- Chapter10: Semantics, Archetypal Core and Consciousness.
520 $a The theory of Memory Evolutive Systems represents a mathematical model for natural open self-organizing systems, such as biological, sociological or neural systems. In these systems, the dynamics are modulated by the cooperative and/or competitive interactions between the global system and a net of internal Centers of Regulation (CR) wich a differential access to a central heirarchical Memory. The MES proposes a mathematical model for autonomous evolutionary systems and is based on the Category Theory of mathematics. It provides a framework to study and possibly simulate the structre of "living systems" and their dynamic behavior. MES explores what characterizes a complex evolutionary system, what distinguishes it from inanimate physical systems, its functioning and evolution in time, from its birth to its death. The behavior of this type of system depends heavily on its former experiences, and a model representing the system over a period of time, could anticipate later behavior and perhaps even predict some evolutionary alternatives. The role of the MES model will be two-fold: theoretical, for a comprehension of a fundamental nature and practical, for applications in biology, medicine, sociology, ecology, economy, meteorology, and other sciences. Key Features: *Comprehensive and comprehensible coverage of Memory Evolutive System *Written by the developers of the Memory Evolutive Systems *Designed to explore the common language between sciences.
588 $a Description based on print version record.
650 0 $a Self-organizing systems. $3 566022
650 7 $a SCIENCE $x System Theory. $2 bisacsh $3 812318
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Charles Ehresmann, Andr�ee. $3 812315
700 1 $a Vanbremeersch, Jean-Paul. $3 812316
830 0 $a Studies in multidisciplinarity ; $v v. 4. $3 812317
856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780444522443
938 $a YBP Library Services $b YANK $n 2789658
938 $a Ingram Digital eBook Collection $b IDEB $n 118680
938 $a EBL - Ebook Library $b EBLB $n EBL331946
938 $a ebrary $b EBRY $n ebr10216779
994 $a C0 $b TEF