Behavior Visualization of Autonomous Trading Agents
نویسندگان
چکیده
In this paper, we visualize the behavior of a futures trading agent by using fuzzy if-then rules. The main aim of this paper is to graphically interpret how trading agents make decisions such as to buy or to sell a futures stock. Fuzzy ifthen rules are used for this aim because their antecedent part specifies the features of time series. The procedure for visualizing the behavior of trading agent is first to train a trading agent that consists of a set of fuzzy if-then rules. Bycarefully examining, we select a small number of prominent fuzzy if-then rules that most represent the behavior of trading agents. Finally those selected fuzzy ifthen rules are represented in a graphically understandable manner.
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