Swarm Intelligence: From Social Bacteria to Humans
暫譯: 群體智慧:從社會細菌到人類

Schumann, Andrew

  • 出版商: CRC
  • 出版日期: 2020-11-02
  • 售價: $7,610
  • 貴賓價: 9.5$7,230
  • 語言: 英文
  • 頁數: 190
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367137933
  • ISBN-13: 9780367137939
  • 相關分類: ARM
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The notion of swarm intelligence was introduced for describing decentralized and self-organized behaviors of groups of animals. Then this idea was extrapolated to design groups of robots which interact locally to cumulate a collective reaction. Some natural examples of swarms are as follows: ant colonies, bee colonies, fish schooling, bird flocking, horse herding, bacterial colonies, multinucleated giant amoebae Physarum polycephalum, etc. In all these examples, individual agents behave locally with an emergence of their common effect. An intelligent behavior of swarm individuals is explained by the following biological reactions to attractants and repellents. Attractants are biologically active things, such as food pieces or sex pheromones, which attract individuals of swarm. Repellents are biologically active things, such as predators, which repel individuals of swarm. As a consequence, attractants and repellents stimulate the directed movement of swarms towards and away from the stimulus, respectively.
It is worth noting that a group of people, such as pedestrians, follow some swarm patterns of flocking or schooling. For instance, humans prefer to avoid a person considered by them as a possible predator and if a substantial part of the group in the situation of escape panic (not less than 5%) changes the direction, then the rest follows the new direction, too. Some swarm patterns are observed among human beings under the conditions of their addictive behavior such as the behavior of alcoholics or gamers. The methodological framework of studying swarm intelligence is represented by unconventional computing, robotics, and cognitive science. In this book we aim to analyze new methodologies involved in studying swarm intelligence. We are going to bring together computer scientists and cognitive scientists dealing with swarm patterns from social bacteria to human beings. This book considers different models of simulating, controlling and predicting the swarm behavior of different species from social bacteria to humans.

商品描述(中文翻譯)

群體智慧的概念是用來描述動物群體的去中心化和自我組織行為。然後,這個想法被推廣到設計一組機器人,這些機器人通過局部互動來累積集體反應。一些自然界中的群體例子包括:蟻群、蜜蜂群、魚群、鳥群、馬群、細菌群落、多核巨型變形蟲 Physarum polycephalum 等。在所有這些例子中,個體代理在局部行為中出現了它們共同效果的涌現。群體個體的智能行為可以通過以下對吸引物和排斥物的生物反應來解釋。吸引物是生物活性物質,例如食物碎片或性費洛蒙,這些物質吸引群體中的個體。排斥物是生物活性物質,例如捕食者,這些物質則排斥群體中的個體。因此,吸引物和排斥物分別刺激群體朝向和遠離刺激的定向運動。

值得注意的是,一群人,例如行人,會遵循某些群體模式,如成群或成群游泳。例如,人類傾向於避免被他們視為潛在捕食者的人,如果在逃生恐慌的情況下,群體中有相當一部分(不低於5%)改變方向,那麼其餘的人也會跟隨新的方向。在人類中,某些群體模式在他們的成癮行為下被觀察到,例如酗酒者或遊戲者的行為。研究群體智慧的方法論框架包括非常規計算、機器人技術和認知科學。在本書中,我們旨在分析涉及研究群體智慧的新方法。我們將聚集計算機科學家和認知科學家,研究從社會細菌到人類的群體模式。本書考慮了模擬、控制和預測不同物種的群體行為的不同模型,從社會細菌到人類。

作者簡介

Andrew Schumann obtained MSc (1998) and PhD (2003) degrees in Philosophy from Belarusian State University, Minsk, Belarus, after graduating, he was an Associate Professor at the Belarusian State University, Belarus, and is currently the Head of the Department of Cognitive Science and Mathematical Modeling, University of Information Technology and Management, Rzeszow, Poland. He participated in the project Physarum Chip: Growing Computers from Slime Mould supported by the Seventh Framework Programme (FP7-ICT-2011-8). He has authored books such as Behaviourism in Studying Swarms (2019), Springer International Publishing; and Talmudic Logic (2012). College Publications, London and numerous papers.

作者簡介(中文翻譯)

安德魯·舒曼於1998年獲得白俄羅斯明斯克白俄羅斯國立大學哲學碩士學位,並於2003年獲得博士學位。畢業後,他曾擔任白俄羅斯國立大學的副教授,目前是波蘭熱舒夫資訊科技與管理大學認知科學與數學建模系的系主任。他參與了由第七框架計畫(FP7-ICT-2011-8)支持的項目黏菌晶片:從黏菌中生長計算機。他著有多本書籍,如研究群體的行為主義(2019年,Springer International Publishing)和塔木德邏輯(2012年,倫敦College Publications),以及多篇論文。