Swarm intelligence (Record no. 70360)
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fixed length control field | 03871cam a2200493Mi 4500 |
001 - CONTROL NUMBER | |
control field | 9780429028618 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220531132305.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
fixed length control field | m o d |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 200320s2020 flua fo 000 0 eng d |
040 ## - Cataloging Source | |
-- | OCoLC-P |
-- | eng |
-- | rda |
-- | pn |
-- | OCoLC-P |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 0429650248 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780429028618 |
-- | (electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 042902861X |
-- | (electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780429644962 |
-- | (electronic bk. : Mobipocket) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 0429644965 |
-- | (electronic bk. : Mobipocket) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780429647604 |
-- | (electronic bk. : EPUB) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 0429647603 |
-- | (electronic bk. : EPUB) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780429650246 |
-- | (electronic bk.) |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)1206241958 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC-P)1206241958 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | Q337.3 |
072 #7 - | |
-- | COM |
-- | 021030 |
-- | bisacsh |
072 #7 - | |
-- | COM |
-- | 037000 |
-- | bisacsh |
072 #7 - | |
-- | MAT |
-- | 004000 |
-- | bisacsh |
072 #7 - | |
-- | UMB |
-- | bicssc |
082 04 - | |
-- | 006.3/824 |
-- | 23 |
245 00 - TITLE STATEMENT | |
Title | Swarm intelligence |
Remainder of title | from social bacteria to humans / |
Statement of responsibility, etc. | edited by Andrew Schumann. |
264 #1 - | |
-- | Boca Raton : |
-- | CRC Press, |
-- | 2020. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource |
Other physical details | illustrations (black and white, and colour) |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
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-- | computer |
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-- | rdamedia |
338 ## - | |
-- | online resource |
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-- | rdacarrier |
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-- | 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. |
588 ## - | |
-- | OCLC-licensed vendor bibliographic record. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Swarm intelligence. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | COMPUTERS / Database Management / Data Mining |
Source of heading or term | bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | COMPUTERS / Machine Theory |
Source of heading or term | bisacsh |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | MATHEMATICS / Arithmetic |
Source of heading or term | bisacsh |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Schumann, Andrew, |
Relator term | editor. |
856 40 - | |
-- | Taylor & Francis |
-- | https://www.taylorfrancis.com/books/9780429028618 |
856 42 - | |
-- | OCLC metadata license agreement |
-- | http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
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