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...

the health industry’s supply chain is full of uncertainty and unpredictability. thus, building an intelligent system to effectively capture the requirements of customers and help manage the supply chain is very important. despite artificial intelligence widespread acceptance as a decision-aid tool, ai has seen limited application in supply chain management. to fully exploit the potential benefi...

This paper investigates the problem of policy learn-ing in multiagent environments using the stochasticgame framework, which we briefly overview. Weintroduce two properties as desirable for a learningagent when in the presence of other learning agents,namely rationality and convergence. We examineexisting reinforcement learning algorithms accord-ing to these two prop...

guiding vehicles to their destination under dynamic traffic conditions is an important topic in the field of intelligent transportation systems (its). nowadays, many complex systems can be controlled by using multi agent systems. adaptation with the current condition is an important feature of the agents. in this research, formulation of dynamic guidance for vehicles has been investigated based...