S. Elzer. The role of user preferences and problem-solving knowledge in plan recognition for expert consultation systems. In Working Notes of the IJCAI-95 Workshop on The Next Generation of Plan Recognition Systems, pages 37--41, Montreal, Canada, 1995. Home/Search Document Details and Download
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A Problem Solving Model for Collaborative Agents - Allen, Blaylock, Ferguson (2002) (Correct)
....by the agents in order to collaborate. This restricts collaboration to homogeneous agents which have identical problem solving plans, whereas in our model, there is no set problem solving plan, allowing agents with di erent individual problem solving strategies to collaborate. Finally, Elzer [4] speci cally mentions the need for a problemsolving model in discourse, citing dialogue segments similar to those that we give. However, she o ers no proposal of a solution. 8. CONCLUSIONS The collaborative problem solving model presented in this paper o ers a concrete proposal for modeling ....
S. Elzer. The role of user preferences and problem-solving knowledge in plan recognition for expert consultation systems. In Working Notes of the IJCAI-95 Workshop on The Next Generation of Plan Recognition Systems, pages 37-41, Montreal, Canada, 1995.
Plan Recognition: Achievements, Problems, and Prospects - Carberry (Correct)
....Plan Recognition to Non Domain Plans Most plan inference research has been concerned with reasoning about domain actions and the goals to which they contribute. However, in many contexts a system will be severely hampered unless it can reason about a wider variety of goal types. For example, Elzer[Elz95] argues that many utterances in a collaborative planning dialogue do not refer to specific domain goals but rather to how the agents should approach solving the problem. Unless a system can recognize problem solving strategies and their relationship to the domain plan under construction, the ....
Stephanie Elzer. The role of user preferences and problem-solving knowledge in plan recognition for expert consultation systems. In Proceedings of the IJCAI Workshop on the Next Generation of Plan Recognition Systems, pages 37--41, 1995.
Scalable and Adaptive Goal Recognition - Lesh (1998) (12 citations) (Correct)
....patterns of behavior of computer users. Their interface agents learn from observing the user and from user feedback and direct training sessions. They focus on predicting the user s next action by matching the current observations to the closest previously encountered situation. Elzer et al. 94, Elzer 95, Ardissono 96, Ardissono Cohen 95] integrate user modeling and plan recognition to support dialogue understanding. For example, if the user model indicates that John is terrified of flying, then the plan recognizer can reject the plan of flying to Chicago when John says I want to go to ....
S. Elzer. The role of user preferences and problem-solving knowledge in plan recognition for expert consultation systems. In Proceedings of the workshop on The Next Generation of Plan Recognition Systems: Challenges for and Insight from Related Areas of AI, pages 37--41, August 1995.
A Problem Solving Model for Collaborative Agents - James Allen University (2002) (Correct)
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S. Elzer. The role of user preferences and problem-solving knowledge in plan recognition for expert consultation systems. In Working Notes of the IJCAI-95 Workshop on The Next Generation of Plan Recognition Systems, pages 37--41, Montreal, Canada, 1995.
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