Signals and Boundaries: Building Blocks for Complex Adaptive Systems (Hardcover)
暫譯: 信號與邊界:複雜適應系統的基礎構件 (精裝版)

John H. Holland

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商品描述

Complex 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.

商品描述(中文翻譯)

複雜適應系統(complex adaptive systems, CAS),包括生態系統、政府、生物細胞和市場,特徵在於邊界和信號的複雜層級安排。例如,在生態系統中,生態位作為半滲透邊界,而氣味和視覺模式則作為信號;政府則有部門層級,備忘錄作為信號;其他的 CAS 也是如此。儘管有大量關於不同 CAS 的數據和描述,但關於如何「引導」這些系統仍然存在許多未解之謎。在《信號與邊界》(Signals and Boundaries)一書中,約翰·霍蘭德(John Holland)主張,理解這些系統複雜的信號/邊界層級的起源是回答這些問題的關鍵。他發展了一個全面的框架,用於比較和引導 CAS,通過生成其信號/邊界層級的機制。

霍蘭德為發展這一框架鋪設了一條道路,強調代理、環境、理論和數學模型。他討論了多個主題,包括理論建構;信號處理代理;作為信號/邊界互動表示的網絡;適應;重組和繁殖;使用標記的 urn 模型(改編自基本概率論)來表示邊界層級;有限生成系統作為將所考察模型聯繫到單一框架的方法;框架本身,通過一個簡單的有限生成版本來說明多細胞生物的發展;以及馬可夫過程。