]> 2026-04-04T11:15:55+02:00 Publications:Deduction and Exploratory Assessment of Partial Plans 500 en <p>In this paper we present a preliminary investigation of rational agents who, aware of their own limited mental resources, use learning to augment their reasoning. In our approach an agent creates and deductively reasons about possible plans of actions ,but — aware of the fact that finding complete plans is in many cases intractable — it executes partial plans which look promising. By doing so, it can acquire new knowledge from results of performed actions, which allows it to plan further into the future in a more effective way. We describe a possible application of Inductive Logic Programming to learn which of such partial plans are most likely to lead to reaching the goal. We also discuss how one can use ILP framework for generalising partial plans, thus allowing an agent to discover, after a number of episodes, a complete plan — or at least a good approximation of it.</p> Workshop on Planning and Learning in A Priori Unknown or Dynamic Domains (IJCAI-05), Edinburgh, United Kingdom, 30 July - 5 Aug 2005 http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:587671 124 Proceedings of the IJCAI 2005 Workshop on Planning and Learning in A Priori Unknown or Dynamic Domains : the International Joint Conference on Artificial Intelligence, IJCAI Conference Paper 117 Deduction and Exploratory Assessment of Partial Plans 2005 2016-09-30T20:40:54Z 2457662.3617361 Deduction and Exploratory Assessment of Partial Plans 500 0 plainlist list 1 [[:Publications:Deduction and Exploratory Assessment of Partial Plans]] Deduction and Exploratory Assessment of Partial Plans# QUERYae1a7fc3d9596f0141b2c02e31cdd641 500 [2,"smw-datavalue-property-restricted-annotation-use","Author"] Deduction and Exploratory Assessment of Partial Plans# ERRe24f17e090c98448f3de99d03182b7b6