International Journal of Distributed Artificial Intelligence (IJDAI)

Formerly International Journal of Agent Technologies and Systems (IJATS)
Editor(s)-in-Chief: Firas Abdulrazzaq Raheem (University of Technology - Iraq, Iraq)and Israa AbdulAmeer AbdulJabbar (University of Technology - Iraq, Iraq)
Published: Continuous Volume
Copyright: ©2018
DOI: 10.4018/IJDAI
ISSN: 2637-7888
EISSN: 2637-7896

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Description

The International Journal of Distributed Artificial Intelligence (IJDAI) is a specialized journal that publishes high-quality research in all fields of Artificial Intelligence (AI). Distributed Artificial Intelligence is a subfield of AI concerned with coordinated, concurrent action, decision-making, and problem-solving. This journal not only has an emphasis on Distributed Artificial Intelligence (DAI), but it is also concerned with other fields of artificial intelligence as real-world problems. In general, it also covers novel ideas in emerging fields that unlimitedly include: Expert Systems, Multi-robot systems, Intelligent Mechatronic Applications, Natural Language Processing, Neural networks, Fuzzy Systems, Intelligent control systems, optimization techniques, intelligent robotic systems and path planning, learning systems, Heuristic and Metaheuristic methods. This journal turns in a broad scope of AI Fields theoretically and practically by encouraging scientists from different areas of science as well as researchers from various fields studying similar concepts. IJDAI publishes scientific research articles, reviews, technical reports, patent alerts, and case studies on the recent advances of new AI methodologies and techniques.

Volume 14, Issue 2

Volume 14, Issue 1

Volume 13, Issue 2

Volume 13, Issue 1

Volume 12, Issue 2

Volume 12, Issue 1

Volume 11, Issue 2

Volume 11, Issue 1

Volume 10, Issue 2

Volume 10, Issue 1

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Mission

The mission of the International Journal of Distributed Artificial Intelligence (IJDAI) is to disseminate, discuss, and publishes high quality research on a wide range of Artificial Intelligence (AI) topics, theories, and applications. It features innovative findings from various fields of science, engineering, and technology. IJDAI is an interdisciplinary journal that brings together researchers from academia, industry, and the government to discuss conceptual issues and implementation of issues using the AI approach in solving real-life problems. The journal provides a platform for researchers, developers, students, and professors to exchange their novel, innovative articles and ideas, discuss problems and produce solutions relating to artificial intelligence topics and its applications. As a medium of communication among those researchers and practitioners with interest, the journal explores the benefits of the concepts, simulations, constructions, and applications of AI theories beyond disciplinary boundaries.