疲労度パラメータを導入した行動選択ネットワークによるエージェントの創発的組織化に関する考察

概要

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This paper discusses the organizations of multiple agents for task processing problems and the properties of action selection mechanisms for the organizations. In particular, we introduce the multiple monkey banana problem that is extended from the original monkey banana problem. In this problem, each monkey as an agent tries to ride on other agents for taking the above bananas. Namely, the agents have to build the Organizations. It is obvious that the processes of making organizations include the many deadlock states. Thus the agents are not only to behave autonomously according to the sensing of the environment but also to have the property of persistency and abundance in the action selection mechanisms for escaping the deadlock states. To realize the properties, we introduce the fatigue parameters in the behavior network. The fatigue parameters act as short memory of sensing inputs and outputs of actions in each node. The proposed network builds as hierarchical architecture. In this architecture, we consider the two types of the strategies. One is almost opportunity strategy. Another strategy uses the organizational sensing inputs. Throughout the introduced problem, we examine the effects of the fatigue parameters and the strategies in the proposed behavior network for the organization problems.
社団法人人工知能学会の論文
1997-01-01