登入選單
返回Google圖書搜尋
The Local Information Dynamics of Distributed Computation in Complex Systems
Joseph T. Lizier
出版Springer Science & Business Media, 2012-11-06
主題Science / System TheoryTechnology & Engineering / Engineering (General)Computers / Information TheoryComputers / Artificial Intelligence / GeneralScience / Life Sciences / BiologyScience / Research & MethodologyMathematics / AppliedTechnology & Engineering / GeneralLanguage Arts & Disciplines / Library & Information Science / GeneralComputers / Computer Science
ISBN36423295279783642329524
URLhttp://books.google.com.hk/books?id=1ykXim2xYowC&hl=&source=gbs_api
EBookSAMPLE
註釋The 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 maximised 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-organisation underline the practical utility of the techniques presented here.