Furthermore, the design and implementation of a MAS may become even more complex and difficult to implement when considering new requirements and interactions for new agent environments like the Semantic Web.
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However, the autonomous, responsive, and proactive natures of agents make the development of agent-based software systems more complex than other software systems. The agents are considered to be autonomous entities which contain intelligence that serves for solving their selfish or common problems, and to achieve certain goals. The study of Multiagent Systems (MASs) focuses on those systems in which many intelligent agents interact with each other. Lessons learned during design and development within the software engineering perspective and evaluation of the implemented multi-agent stock exchange system are also reported.
Each participant in the system is first designed as Belief-Desire-Intention (BDI) agents with their facts, goals and plans and then BDI reasoning and behavioural structure of the designed agents are implemented. In order to fill this gap, in this paper, we discuss development of a multi-agent based stock trading system by taking into consideration of software design according to a well-defined agent oriented software engineering methodology and implementation with a widely-used MAS software development framework. Although existing studies include noteworthy proposals on agent based market simulation and/or researchers discuss theoretical design issues of agent based stock exchange systems, unfortunately only a very few of the studies considers exact development and implementation of multi-agent stock trading systems within the software engineering perspective and guides to the software engineers for constructing such software systems starting from the scratch.
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That nature of MASs exactly fits to the requirements of free market economy. Agents in a Multi-agent System (MAS) can share a common goal or they can pursue their own interests.
In order to cope with those challenges, solutions based on intelligent agent systems are proposed.
Stock trading is one of the key items in economy and estimating its behavior and taking the best decision in it are among the most challenging issues.
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