Intelligent and autonomous agents is a subarea of symbolic artificial intelligence where these decide, either reactively or proactively, upon course action by reasoning about the information that available world (including environment, agent itself, other agents). It encompasses multitude techniques, such as negotiation protocols, simulation, multi-agent argumentation, planning, many others. In...

This paper deals with leader-following and leaderless consensus problems of high-order multi-input/multi-output (MIMO) multi-agent systems with unknown nonlinear dynamics in the presence of uncertain external disturbances. The agents may have different dynamics and communicate together under a directed graph. A distributed adaptive method is designed for both cases. The structures of the contro...

in previous papers authors have considered agents as inertia-less self driven particles and designed a flocking algorithm. application of this algorithm to agents with considerable inertial characteristics needs a behavioural controller. the controller uses the local information and helps every agent to imitate the desired behaviour as a member of the flocking frame which covers the main issue ...

The objective of the current paper is to present an intelligent system for complex process monitoring, based on artificial intelligence technologies. This system aims to realize with success all the complex process monitoring tasks that are: detection, diagnosis, identification and reconfiguration. For this purpose, the development of a multi-agent system that combines multiple intelligences su...

application of agent based model in simulation of stakeholder’s behavior is slightly a new method for modeling of complicated systems that include autonomous agents interacting with each other. recent numerical achievements have made the applications of agent based models possible in various fields. these applications range from modeling of human progress and destruction of past civilizations t...