Calls for papers

 

International Journal of Reasoning-based Intelligent Systems

 

Special Issue on: "Computational Intelligence and Multi-Agent Systems"

Guest Editor:
Prof. Srikanta Patnaik, SOA University, India

An agent-based system is a new paradigm for the conceptualisation, design and implementation of intelligent software systems. Agents are computer programs that act autonomously on behalf of their users, across open and distributed environments, to solve a growing number of complex problems. These agents are able to provide the best solutions under the given circumstances. A multi-agent system is a loosely coupled network of agents which work together to solve problems that are beyond the capabilities of individual agents. The agents are autonomous, and may be heterogeneous in nature.

The intersection between computational intelligence and multi-agent technology opens new significant scenarios in many fields where the representation and management of complex systems play a fundamental role. The role of uncertainty becomes crucial for an efficient and coherent resolution of complex problems in the formulation of intelligent agent-based systems. Agents overcome classical programs, thanks to their inner capabilities to be autonomous and to adapt their behaviour to the changing of the environments where they are based and interact. This means that they inevitably encounter uncertainty during their work, or in many cases, due to the great complexity of a problem, the information they handle is (or needs to be) approximate.

Only in recent years has there been a growing awareness that computational intelligence-based handling of uncertainty in agents is equally important as the other features of the agent paradigm. Computational intelligence techniques – including fuzzy sets, neural networks, evolutionary algorithms and their hybridisations – can be successfully applied to agent systems for solving real-world complex problems. These intelligent multi-agent systems are able to solve problems that are beyond the capabilities of individual agents, mainly because of their collective intelligence.

The objective of this special issue is to provide an opportunity to researchers working in the area of theory and applications of computational intelligence and multi-agent systems. The issue invites contributions from the academic community and industry experts in order to report on recent advances in this area.

Subject Coverage
Suitable topics include, but are not limited to, the following:

• Agents for intelligent manufacturing systems
• Agents for knowledge discovery and knowledge management
• Agents for ambient intelligence
• Agents for dialogue systems
• Agents for intelligent avatars
• Environment-aware agents
• Holonic agents
• Agents for smart environments
• Middleware agents
• Embedded agents
• Mobile agents
• Adaptive and personalised systems
• Business intelligence
• E-learning, e-commerce and e-governance
• Decision support systems
• Human-computer interaction
• Knowledge-based and expert systems
• Mobile systems
• Recommender systems
• Semantic web-based systems
• Social network analysis
• Temporally intelligent systems
• Trust, reputation and security
• Digital image processing and watermarking
• Steganography and steganalysis

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).

All papers are refereed through a peer review process.

All papers must be submitted online. To submit a paper, please read our Submitting articles page.

Important Dates

Manuscripts due by: 31 January, 2016

Notification to authors: 31 March, 2016

Final versions due by: 31 May, 2016