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Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments (Record no. 14306)

000 -LEADER
fixed length control field 04011nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-540-69050-4
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20170515111447.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121227s1997 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540690504
-- 978-3-540-69050-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/3-540-62934-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TJ210.2-211.495
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJFM1
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments
Medium [electronic resource] :
Remainder of title ECAI'96 Workshop LDAIS Budapest, Hungary, August 13, 1996 ICMAS'96 Workshop LIOME Kyoto, Japan, December 10, 1996 Selected Papers /
Statement of responsibility, etc edited by Gerhard Weiß.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 1997.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 300 p.
Other physical details online resource.
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-- online resource
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-- text file
-- PDF
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,
International Standard Serial Number 0302-9743 ;
Volume number/sequential designation 1221
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Reader's guide -- Challenges for machine learning in cooperative information systems -- A modular approach to multi-agent reinforcement learning -- Learning real team solutions -- Learning by linear anticipation in multi-agent systems -- Learning coordinated behavior in a continuous environment -- Multi-agent learning with the success-story algorithm -- On the collaborative object search team: a formulation -- Evolution of coordination as a metaphor for learning in multi-agent systems -- Correlating internal parameters and external performance: Learning Soccer Agents -- Learning agents' reliability through Bayesian Conditioning: A simulation experiment -- A study of organizational learning in multiagents systems -- Cooperative Case-based Reasoning -- Contract-net-based learning in a user-adaptive interface agency -- The communication of inductive inferences -- Addressee Learning and Message Interception for communication load reduction in multiple robot environments -- Learning and communication in Multi-Agent Systems -- Investigating the effects of explicit epistemology on a Distributed learning system.
520 ## - SUMMARY, ETC.
Summary, etc The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Programming languages (Electronic computers).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer simulation.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Simulation and Modeling.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Programming Languages, Compilers, Interpreters.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Weiß, Gerhard.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783540629344
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,
-- 0302-9743 ;
Volume number/sequential designation 1221
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/3-540-62934-3
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type e-Book

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