https://www.igi-global.com/journal/international-journal-distributed-artificial-intelligence/208696 Description 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 emphasis on Distributed Artificial Intelligence (DAI), but it also concerned with other fields of artificial intelligence as real-world problems. In general, it is 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 abroad 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. IJDAII publishes scientific research articles, reviews, technical reports, patent alerts, and case studies on the recent advances of new AI methodologies and techniques. Mission The mission of the International Journal of Distributed Artificial Intelligence (IJDAI) is to disseminate and discuss and publishes high quality research on 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. Coverage IJDAI covers conceptual frameworks, case studies, empirical analysis, analytical and simulation models of AI anthropologies and sociologies, and their application. Topics to be discussed in this journal include (but are not limited to) the following: Robot Teams and Cooperative Robotic Systems Intelligent Mechatronic Systems and Applications Robotics and Path Planning Methods Multi-Robot Systems Intelligent Motion Planning Systems Intelligent Control Systems Artificial Intelligence in Embedded Systems Machine Learning and Deep Learning Intelligent Measurement Systems Neural Networks Fuzzy Sets, Fuzzy Logic, and Rough Sets Bio-Inspired Optimization Algorithms Heuristic and Metaheuristic Computing Methods Robotic Vision Systems and Computer Vision Automatic Control Systems Dynamics of Cooperative Systems Expert Systems Artificial Intelligence and Evolutionary Algorithms Artificial Intelligence Tools and Applications Artificial Intelligent Social Systems Bayesian Methods Integrated Intelligent Systems Combining Multiple Knowledge Sources Distributed and Intelligent Information Fusion Distributed Artificial Intelligent Algorithms, Techniques and Applications Distributed Computing and Decision Making Intelligent Problem Solving Evaluation of Artificial Intelligence Tools Intelligent and Cognitive Agents Agent-Based Modeling and Simulation Learning Methods in Multi-Agent Systems Agent-Based Social Simulation and Organizational Structure Interactive Agents, Human-Agent Interaction, and Agent-Based User Interfaces Agent-Based Data Mining and Agent-Oriented Software Engineering Agent Environments, Languages, Models and Architectures Multi-Agent Circuits and Systems Agents in Electronic Business and Virtual Organizations Artificial Swarm Intelligence and Cooperative System Hybrid Intelligent Systems Graph Theory of Multi-Agent Systems Agents Emergent Behavior and Emerging Technologies Natural Language Processing (Processing of Text, Sign, and Speech) Representation of Agents, Modeling Other Agents and Self Bioinformatics Applications (Recognition of Face, Iris, Fingerprint, Hand Gestures, Patterns , and Objects) Information Propagation and Exchange in Multi-Agent Systems Parallel Computational System Ethical and Legal Issues Pertaining to Agency and Multi-Agent Systems Integration of Artificial Intelligence With Other Technologies Knowledge Management and Ontologies Intelligent Recommender Systems Intelligent Databases Intelligent Semantic Web Techniques and Technologies Flocking System and Control Data Mining and Web Mining Formation Control
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