Cognitive agents for business and industrial environments are one of the most dominant ideas in multi-agent scheme today. We propose a general, flexible, and powerful architecture to build software agents that embed artificial cognitive factors. The propose agent possesses sensible knowledge and reactive abilities, and interacts with the external complex business environment, including other agents. We examine if artificial cognitive states can improve the performance of agents in some business and industrial conditions. Our agent model generates responsive actions in reaction to certain stimuli. Cognitive Agent Model (CAM) is proposed for this purpose. Sales and Production Planning (SPP) (as business and manufacturing application) is chosen to demonstrate the use of our agent. Netlogo is used as an agent programming language. It is the agent-oriented language used to simulate and implement our proposed models.
Keywords: Agent, Agent Modeling, Cognitive Factors, Believable, Behavior, Decision Making, Intelligent, Multi-Agent System.
Accepted in
Journal of Theoretical and Applied Information Technology-Scopus Indexed