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Ab stract: A cooperative response model is proposed for interactive intelligent systems that recognizes user intentions and makes cooperative responses. Though many models developed so far have shown that they can achieve some form of cooperative responses, the coverage of each model is limited. In this paper, we propose a model which covers various types of cooperative responses. The paper starts with a classification of cooperative responses and discusses the relation between intentions and responses. Based on the discussion, a user utterance model is introduced and an intention recognition mechanism is developed employing domain-independent rules and knowledge about the normal usage of the topic object. The recognized intentions are then used to generate appropriate cooperative responses.

This paper describes an outline of "Cooperative Dialog System for Decision Support" and a framework of its cooperative response generation. The system consists of "Utterance Interpreter, Dialog Manager, Decision Supporter, User Model, and Database", and handles decision support based on data retrieval. The system is designed to achieve two types o f cooperation, cooperation in interactions and cooperation in decision support, and cooperative response generation concerns cooperation in interactions. First, cooperative responses are classified into Precondition-Related responses, InformationRelated responses, Reason-Related responses, and Responses in the form of a question. Next, an utterance model representing the user's intentions is introduced, and the knowledge description needed for response generation is explained. Finally, a response generation method using the utterance model and knowledge description is proposed. The method covers classified responses. Moreover, it is domain-independent and can be easily implemented because of its simplicity.