About This Special Issue
An Intelligent Agent (IA) is an autonomous entity which observes through sensors and acts upon an environment using actuators and directs its activity towards achieving goals. An IA is assumed to be able to communicate and coordinate its actions with those of other agents located within the agent’s environment. The actions carried out by an agent is assumed to be the result of decisions made by the agent based on what it senses in its environment and about the goal which the agent is trying to achieve. So IAs may also learn or use knowledge to achieve their goals.
This special issue will explore the topics of Intelligent Agent systems Architectures and Applications. This issue is devoted to the development and derivation of new theory, design and applications of Intelligent Agent Systems architectures, with emphasis given to real life and industrial applications. The topics under this issue covers a vast area and is not limited to:
1. Adaptation and learning
2. Agent architectures
3. Communication, collaboration, and interaction of humans and agents
4. Multi-agent communication, coordination, and collaboration
5. Modeling and Simulation different behaviors as anticipation and emergent.
6. Applications in biomedicine and biochemistry, robotics and control
This special issue will be useful and suitable for classroom use or as a reference for computer scientists and engineers, who are interested in field of Artificial Intelligence, Intelligent Agent and Multi Agent Systems, Machine learning. In a variety of contexts, the issue will be ideal for those who want to apply, Intelligent Agent and Multi Agent Systems in real life application.
Keywords (topics for the issue, but not limited to):
1. Intelligent Agents, Multi Agent Systems, Communication, Cooperation, Coordination
2. Machine learning algorithms: neural network, evolutionary algorithm, genetic algorithms.
3. Real life application: Power Management, supply chain management, industrial, biomedical.