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International Journal of Artificial Life Research (IJALR)

International Journal of Artificial Life Research (IJALR)
Editor(s)-in-Chief: Maki K. Habib (The American University in Cairo, Egypt)
Published: Semi-Annually
Copyright: ©2010
DOI: 10.4018/IJALR
ISSN: 1947-3087
EISSN: 1947-3079

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Description

The International Journal of Artificial Life Research (IJALR) provides a forum on the study of living systems, human level artificial systems, and machines that exhibit intelligent autonomous behavioral characteristics. Presenting researchers and practitioners with access to explore the developments of life-like or human-like forms of systems, IJALR promotes research in emerging disciplines of artificial life to improve and comprehend real-world problems. This journal publishes all concepts, theories, systems, and procedures that exhibit properties, phenomena, or abilities of any living system or human.



Contents

Volume 7, Issue 1
Volume 6, Issue 2
Volume 6, Issue 1
Volume 5, Issue 1
Volume 4, Issue 1
Volume 3, Issue 4
Volume 3, Issue 3
Volume 3, Issue 2
Volume 3, Issue 1
Volume 2, Issue 4
Volume 2, Issue 3
Volume 2, Issue 2
Volume 2, Issue 1
Volume 1, Issue 4
Volume 1, Issue 3
Volume 1, Issue 2
Volume 1, Issue 1
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Mission

The mission of the International Journal of Artificial Life Research (IJALR) is to investigate the hybrid nature involved in scientific, engineering, psychological, and social issues in synthetic life-like behavior and abilities. IJALR publishes high-quality original research and review articles in theoretical and applied aspects of artificial life research to address complex and dynamic issues in nature and demand complex information processing abilities to be emulated, recreated, and synthesized. Since computer and modeling form the basic tool in scientific research, the frontiers of computer and modeling connected with humanistic systems is one area of interest. The meaningful representation and manipulation on computer of human intelligence and human language like the recent development in soft computing, fuzzy sets, fuzzy logic, semantic networks, probabilistic and Bayesian reasoning, evidence theory, classical and mutli-value logic, and evolutionary operation with neural network and support vector machine are emphasized.

Journal Indices

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