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... Show More
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 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. IJDAI publishes scientific research articles, reviews, technical reports, patent alerts, and case studies on the recent advances of new AI methodologies and techniques.
Mission & Scope:
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 ( A I) topics, theories, and applications. It features innovative findings from various fields of science, engineering, and technology. IJDAI is an interdisciplinary journal that brings together... Show More
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:
- Agent Environments, Languages, Models and Architectures
- Agent-Based Data Mining and Agent-Oriented Software Engineering
- Agent-Based Modeling and Simulation
- Agent-Based Social Simulation and Organizational Structure
- Agents Emergent Behavior and Emerging Technologies
- Agents in Electronic Business and Virtual Organizations
- Artificial Intelligence and Evolutionary Algorithms
- Artificial Intelligence in Embedded Systems
- Artificial Intelligence Tools and Applications
- Artificial Intelligent Social Systems
- Artificial Swarm Intelligence and Cooperative System
- Automatic Control Systems
- Bayesian Methods
- Bioinformatics Applications (Recognition of Face, Iris, Fingerprint, Hand Gestures, Patterns , and Objects)
- Bio-Inspired Optimization Algorithms
- Data Mining and Web Mining
- Distributed and Intelligent Information Fusion
- Distributed Artificial Intelligent Algorithms, Techniques and Applications
- Distributed Computing and Decision Making
- Dynamics of Cooperative Systems
- Ethical and Legal Issues Pertaining to Agency and Multi-Agent Systems
- Evaluation of Artificial Intelligence Tools
- Expert Systems
- Flocking System and Control
- Formation Control
- Fuzzy Sets, Fuzzy Logic, and Rough Sets
- Graph Theory of Multi-Agent Systems
- Heuristic and Metaheuristic Computing Methods
- Hybrid Intelligent Systems
- Information Propagation and Exchange in Multi-Agent Systems
- Integrated Intelligent Systems Combining Multiple Knowledge Sources
- Integration of Artificial Intelligence With Other Technologies
- Intelligent and Cognitive Agents
- Intelligent Control Systems
- Intelligent Databases
- Intelligent Measurement Systems
- Intelligent Mechatronic Systems and Applications
- Intelligent Motion Planning Systems
- Intelligent Problem Solving
- Intelligent Recommender Systems
- Intelligent Semantic Web Techniques and Technologies
- Interactive Agents, Human-Agent Interaction, and Agent-Based User Interfaces
- Knowledge Management and Ontologies
- Learning Methods in Multi-Agent Systems
- Machine Learning and Deep Learning
- Multi-Agent Circuits and Systems
- Multi-Robot Systems
- Natural Language Processing (Processing of Text, Sign, and Speech)
- Neural Networks
- Parallel Computational System
- Representation of Agents, Modeling Other Agents and Self
- Robot Teams and Cooperative Robotic Systems
- Robotic Vision Systems and Computer Vision
- Robotics and Path Planning Methods
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