International Journal of Distributed Artificial Intelligence
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When : N/A
Where : N/A
Submission Deadline : 2019-06-01
Categories : Artificial Intelligence , Soft Computing , Robotics , Computer Science & Information Technology
https://lnkd.in/euWt3tZ
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 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
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
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
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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Posted 31-03-2019 on 11:48:10 AEDT