The Advances in Distributed Computing and Artificial Intelligence Journal (ISSN: 2255-2863)

Description

The Advances in Distributed Computing and Artificial Intelligence Journal (ISSN: 2255-2863) is an open access journal that publishes articles which contribute new results associated with distributed computing and artificial intelligence, and their application in different areas.
The artificial intelligence is changing our society. Its application in distributed environments, such as the Internet, electronic commerce, mobile communications, wireless devices, distributed computing and so on, is increasing and becoming and element of high added value and economic potential in industry and research. These technologies are changing constantly as a result of the large research and technical effort being undertaken in both universities and businesses. The exchange of ideas between scientists and technicians from both academic and business areas is essential to facilitate the development of systems that meet the demands of today's society.
Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of computing.
Topics
Distributed applications ICTs: trade, medicine, industry, the Internet, etc...
Implementation of AI Bioinformatics
Implementation of AI Biotechnology
Implementation of AI in the development of mobile devices
Networks
Intelligent environments
Distributed Algorithms
Computer GRID
Distributed databases
Multimedia and distributed animation systems
Distributed Operating Systems
Real Time Systems
Trade and Electronic Business
Systems and fault-tolerant real-time systems
Distributed Architectures
Multiagent Systems
High-performance
Languages, Compilers, planning, load balancing
E-learning
Technology for Internet
Middleware
Mobile and wireless systems
Security
Parallel
Software Engineering and Formal Methods
Distributed Intelligent Information Systems
Robotics and Control
Satisfaction of restrictions
Search heuristics
Model based reasoning
Reasoning not monotonic
Planning and scheduling tasks
Qualitative Reasoning
Reasoning with uncertainty
Temporal and spatial reasoning
Other reasoning models
Case based reasoning
Data Analysis
Evolutionary Computation
Neural networks
Learning through reinforcement
Other models of learning
Applications of AI (TTIA)
Logic
System support for decision-making
Intelligent Interaction
Knowledge Management
Knowledge Representation