東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Bigger than chaos : = understanding ...

Strevens, Michael.

FindBook

Google Book

Amazon

博客來

Bigger than chaos : = understanding complexity through probability /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Bigger than chaos :/ Michael Strevens.
其他題名:	understanding complexity through probability /
作者:	Strevens, Michael.
出版者:	Cambridge, Mass. :Harvard University Press, : 2003.,
面頁冊數:	xii, 413 p. :ill. ;24 cm.
內容註:	1. The Simple Behavior of Complex Systems -- 1.1. Simplicity in Complex Systems -- 1.2. Enion Probability Analysis -- 1.3. Towards an Understanding of Enion Probabilities -- 2. The Physics of Complex Probability -- 2.1. Complex Probability Quantified -- 2.2. Microconstant Probability -- 2.3. The Interpretation of IC-Variable Distributions -- 2.4. Probabilistic Networks -- 2.5. Standard IC-Variables -- 2.6. Complex Probability and Probabilistic Laws -- 2.7. Effective and Critical IC-Values -- 2.A. The Method of Arbitrary Functions -- 2.B. More on the Tossed Coin -- 2.C. Proofs -- 3. The Independence of Complex Probabilities -- 3.1. Stochastic Independence and Selection Rules -- 3.2. Probabilities of Composite Events -- 3.3. Causal Independence -- 3.4. Microconstancy and Independence -- 3.5. The Probabilistic Patterns Explained -- 3.6. Causally Coupled Experiments -- 3.7. Chains of Linked IC-Values -- 3.A. Conditional Probability -- 3.B. Proofs -- 4. The Simple Behavior of Complex Systems Explained -- 4.1. Representing Complex Systems -- 4.2. Enion Probabilities and Their Experiments -- 4.3. The Structure of Microdynamics -- 4.4. Microconstancy and Independence of Enion Probabilities -- 4.5. Independence of Microdynamic Probabilities -- 4.6. Aggregation of Enion Probabilities -- 4.7. Grand Conditions for Simple Macrolevel Behavior -- 4.8. Statistical Physics -- 4.9. Population Ecology -- 5. Implications for the Philosophy of the Higher-Level Sciences -- 5.1. Reduction -- 5.2. Higher-Level Laws -- 5.3. Causal Relevance -- 5.4. The Social Sciences -- 5.5. The Mathematics of Complex Systems -- 5.6. Are There Simple Probabilities?
標題:	Probabilities. -
ISBN:	0674010426

Bigger than chaos : = understanding complexity through probability /
Strevens, Michael.

Bigger than chaos :understanding complexity through probability /Michael Strevens. - Cambridge, Mass. :Harvard University Press,2003. - xii, 413 p. :ill. ;24 cm.

Includes bibliographical references (p. 397-401) and index.

1. The Simple Behavior of Complex Systems -- 1.1. Simplicity in Complex Systems -- 1.2. Enion Probability Analysis -- 1.3. Towards an Understanding of Enion Probabilities -- 2. The Physics of Complex Probability -- 2.1. Complex Probability Quantified -- 2.2. Microconstant Probability -- 2.3. The Interpretation of IC-Variable Distributions -- 2.4. Probabilistic Networks -- 2.5. Standard IC-Variables -- 2.6. Complex Probability and Probabilistic Laws -- 2.7. Effective and Critical IC-Values -- 2.A. The Method of Arbitrary Functions -- 2.B. More on the Tossed Coin -- 2.C. Proofs -- 3. The Independence of Complex Probabilities -- 3.1. Stochastic Independence and Selection Rules -- 3.2. Probabilities of Composite Events -- 3.3. Causal Independence -- 3.4. Microconstancy and Independence -- 3.5. The Probabilistic Patterns Explained -- 3.6. Causally Coupled Experiments -- 3.7. Chains of Linked IC-Values -- 3.A. Conditional Probability -- 3.B. Proofs -- 4. The Simple Behavior of Complex Systems Explained -- 4.1. Representing Complex Systems -- 4.2. Enion Probabilities and Their Experiments -- 4.3. The Structure of Microdynamics -- 4.4. Microconstancy and Independence of Enion Probabilities -- 4.5. Independence of Microdynamic Probabilities -- 4.6. Aggregation of Enion Probabilities -- 4.7. Grand Conditions for Simple Macrolevel Behavior -- 4.8. Statistical Physics -- 4.9. Population Ecology -- 5. Implications for the Philosophy of the Higher-Level Sciences -- 5.1. Reduction -- 5.2. Higher-Level Laws -- 5.3. Causal Relevance -- 5.4. The Social Sciences -- 5.5. The Mathematics of Complex Systems -- 5.6. Are There Simple Probabilities?

Michael Strevens shows how simplicity can co-exist with the tangled interconnections within complex systems. By looking at the foundations of statistical reasoning about complex systems (gases, ecosystems and even social systems) he provides an understanding of how simplicity emerges from complexity.

ISBN: 0674010426

LCCN: 2002192237Subjects--Topical Terms:

518889
Probabilities.

LC Class. No.: QC174.85.P76 / S77 2003

Bigger than chaos : = understanding complexity through probability /
LDR:02775cam 22002414a 4500 001 2324852
003 OCoLC
005 20140219125523.0
008 231227s2003 maua b 001 0 eng
010 $a 2002192237
020 $a 0674010426 $q (alk. paper)
020 $a 9780674010420 $q (alk. paper)
020 $a 0674022599 $q (pbk.)
020 $a 9780674022591 $q (pbk.)
035 $a 51088130
040 $a DLC $b eng $c DLC $d YDX $d UKM $d BAKER $d NLGGC $d BTCTA $d YDXCP $d DAY $d VP@ $d IG# $d DEBBG $d EUM $d OCLCQ $d DEBSZ $d CWI $d BDX $d OCLCF
042 $a pcc
050 0 0 $a QC174.85.P76 $b S77 2003
100 1 $a Strevens, Michael. $3 3646851
245 1 0 $a Bigger than chaos : $b understanding complexity through probability / $c Michael Strevens.
260 # $a Cambridge, Mass. : $b Harvard University Press, $c 2003.
300 $a xii, 413 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references (p. 397-401) and index.
505 0 # $a 1. The Simple Behavior of Complex Systems -- 1.1. Simplicity in Complex Systems -- 1.2. Enion Probability Analysis -- 1.3. Towards an Understanding of Enion Probabilities -- 2. The Physics of Complex Probability -- 2.1. Complex Probability Quantified -- 2.2. Microconstant Probability -- 2.3. The Interpretation of IC-Variable Distributions -- 2.4. Probabilistic Networks -- 2.5. Standard IC-Variables -- 2.6. Complex Probability and Probabilistic Laws -- 2.7. Effective and Critical IC-Values -- 2.A. The Method of Arbitrary Functions -- 2.B. More on the Tossed Coin -- 2.C. Proofs -- 3. The Independence of Complex Probabilities -- 3.1. Stochastic Independence and Selection Rules -- 3.2. Probabilities of Composite Events -- 3.3. Causal Independence -- 3.4. Microconstancy and Independence -- 3.5. The Probabilistic Patterns Explained -- 3.6. Causally Coupled Experiments -- 3.7. Chains of Linked IC-Values -- 3.A. Conditional Probability -- 3.B. Proofs -- 4. The Simple Behavior of Complex Systems Explained -- 4.1. Representing Complex Systems -- 4.2. Enion Probabilities and Their Experiments -- 4.3. The Structure of Microdynamics -- 4.4. Microconstancy and Independence of Enion Probabilities -- 4.5. Independence of Microdynamic Probabilities -- 4.6. Aggregation of Enion Probabilities -- 4.7. Grand Conditions for Simple Macrolevel Behavior -- 4.8. Statistical Physics -- 4.9. Population Ecology -- 5. Implications for the Philosophy of the Higher-Level Sciences -- 5.1. Reduction -- 5.2. Higher-Level Laws -- 5.3. Causal Relevance -- 5.4. The Social Sciences -- 5.5. The Mathematics of Complex Systems -- 5.6. Are There Simple Probabilities?
520 # $a Michael Strevens shows how simplicity can co-exist with the tangled interconnections within complex systems. By looking at the foundations of statistical reasoning about complex systems (gases, ecosystems and even social systems) he provides an understanding of how simplicity emerges from complexity.
650 # 0 $a Probabilities. $3 518889