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Pareto optimality in coevolutionary learning

Author
FICICI, Sevan G1 ; POLLACK, Jordan B1
[1] DEMO Lab-Department of Computer Science Brandeis University, Waltham Massachusetts 02454, United States
Conference title
Advances in artificial life (Prague, 10-14 September 2001)
Conference name
ECAL 2001 : European conference on advances in artificial life (6 ; Prague 2001-09-10)
Author (monograph)
Kelemen, Jozef (Editor); Sosík, Petr (Editor)
Source

Lecture notes in computer science. 2001, pp 316-325 ; ref : 21 ref

ISSN
0302-9743
ISBN
3-540-42567-5
Scientific domain
Computer science
Publisher
Springer, Berlin
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Algorithme apprentissage Automate cellulaire Classification Coévolution Intelligence artificielle Optimisation Optimum Pareto Programmation multiobjectif Système multiagent
Keyword (en)
Learning algorithm Cellular automaton Classification Coevolution Artificial intelligence Optimization Pareto optimum Multiobjective programming Multiagent system
Keyword (es)
Algoritmo aprendizaje Autómata celular Clasificación Coevolución Inteligencia artificial Optimización Optimo Pareto Programación multiobjetivo Sistema multiagente
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A03 Automata. Abstract machines. Turing machines

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C02 Learning and adaptive systems

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
14044873

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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