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Multi-agent based simulations applied to biological and environmental systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-agent based simulations applied to biological and environmental systemsDiana Francisca Adamatti.
其他作者:	Adamatti, Diana Francisca.
出版者:	Hershey PA :Information Science Reference,2017
面頁冊數:	1 online resource (xxi, 406 p.)
附註:	"Premier reference source."
標題:	Biological systemsComputer simulation.
電子資源:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-1756-6
ISBN:	9781522517573 (ebk.)

Multi-agent based simulations applied to biological and environmental systems
Multi-agent based simulations applied to biological and environmental systems[electronic resource] /Diana Francisca Adamatti. - Hershey PA :Information Science Reference,2017 - 1 online resource (xxi, 406 p.) - Advances in computational intelligence and robotics (ACIR) book series.

"Premier reference source."

Includes bibliographical references (p. 356-396) and index.

"This book is a pivotal reference source for the latest research on the implementation of autonomous agents in computer simulation paradigms. Featuring extensive coverage on relevant applications, such as biodiversity conservation, pollution reduction, and environmental risk assessment"--

ISBN: 9781522517573 (ebk.)

LCCN: 2016044784Subjects--Topical Terms:

194056
Biological systems
--Computer simulation.

LC Class. No.: QH324.2 / .M853 2017

Dewey Class. No.: 570.1/13

Multi-agent based simulations applied to biological and environmental systems
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490 0 $a Advances in computational intelligence and robotics (ACIR) book series
500 $a "Premier reference source."
504 $a Includes bibliographical references (p. 356-396) and index.
520 $a "This book is a pivotal reference source for the latest research on the implementation of autonomous agents in computer simulation paradigms. Featuring extensive coverage on relevant applications, such as biodiversity conservation, pollution reduction, and environmental risk assessment"-- $c Provided by publisher.
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856 4 0 $u https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-1756-6

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