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Lecture Notes in Computer Science Ser.: PRIMA 2018: Principles and Practice of Multi-Agent Systems : 21st International Conference, Tokyo, Japan, October 29-November 2, 2018, Proceedings by Oren Nir (2018, Trade Paperback)

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This book constitutes the refereed proceedings of the 21st International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2018, held in Tokyo, Japan, in October/November 2018. The 27 full papers presented and 31 short papers were carefully reviewed and selected from 103 submissions.

About this product

Product Identifiers

PublisherSpringer International Publishing A&G

ISBN-103030030970

ISBN-139783030030971

eBay Product ID (ePID)10038663200

Product Key Features

Number of PagesXvii, 682 Pages

LanguageEnglish

Publication NamePRIMA 2018: Principles and Practice of Multi-Agent Systems : 21st International Conference, Tokyo, Japan, October 29-November 2, 2018, Proceedings

SubjectSystems Architecture / General, Intelligence (Ai) & Semantics, Networking / General

Publication Year2018

TypeTextbook

AuthorOren Nir

Subject AreaComputers

SeriesLecture Notes in Computer Science Ser.

FormatTrade Paperback

Dimensions

Item Weight37.2 Oz

Item Length9.3 in

Item Width6.1 in

Additional Product Features

Series Volume Number11224

Number of Volumes1 vol.

IllustratedYes

Table Of ContentAgent-Based Modeling and Simulation.- Application Domains for Multi-Agent Systems.- Collaboration and Coordination.- Economic paradigms.- Engineering Multi-Agent Systems and Human-Agent Interaction.- Logic and Reasoning.

SynopsisThis book constitutes the refereed proceedings of the 21st International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2018, held in Tokyo, Japan, in October/November 2018. The 27 full papers presented and 31 short papers were carefully reviewed and selected from 103 submissions. PRIMA presents subjects in many application domains, particularly in e-commerce, and also in planning, logistics, manufacturing, robotics, decision support, transportation, entertainment, emergency relief and disaster management, and data mining and analytics.

LC Classification NumberQ334-342