Agent-Based Stock Trader

نویسندگان

  • Xin Feng
  • Chang-Hyun Jo
چکیده

In this paper, we introduce a unique implementation scheme of the Belief-Desire-Intention (BDI) model to be used in an agentbased application using Java. The example prototype system is the Agent-based Stock Trader (AST) that is a stock-trading expert based on intelligent agents. Agents in AST are based on the Belief-Desire-Intention (BDI) model in artificial intelligence. This paper proposes how to program the BDI-based agents using the Java programming language, and how to make an agent-based application more intelligent and flexible. This paper contributes new implementation scheme of the BDI agents in the Java programming language useful on many applications. This work also shows how nicely implement the BDI agents with Java while manipulating BDIs intelligently and dynamically at runtime. Using our concepts and implementation scheme, the internetbased application like stock trading can be more intelligent and flexible.

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تاریخ انتشار 2003