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New heuristic algorithms for efficient hierarchical path planning
IEEE Transactions on Robotics and Automation, 7:1, pp.9-20
Solving equations in abstract algebras: A rule-based survey of unification
Centre de Recherche en Informatique de Nancy (CRIN) 1990 English \36\ p. 09H - Computer software, programming R - Report CRIN--90-R-141 FR FR_ 1992:1163 http://hdl.handle.net/10068/43975
A comparison of the enhanced Good–Turing and deleted estimation methods for estimating probabilities of English bigrams
Computer Speech and Language, 5, 19–54.
Qualitative Spatial Reasoning: The Clock Project Project:
Artificial Intelligence 51, pp. 417-71
A constraint-based approach to construction planning of multi-story buildings
In Expert Planning Systems, pp. 245–250. Institute of Electrical Engineers.
Becoming increasingly reactive mobile robots
"We describe a robot control architecture which combines a stimulus-response subsystem for rapid reaction, with a search-based planner for handling unanticipated situations. The robot agent continually chooses which action it is to perform, using the stimulusresponse subsystem when possible, and falling back on the planning subsystem when necessary. Whenever it is forced to plan, it applies an explanation-based learning mechanism to formulate a new stimulus-response rule to cover this new situation and others similar to it. With experience, the agent becomes increasingly reactive as its learning component acquires new stimulus-response rules that eliminate the need for planning in similar subsequent situations. This Theo-Agent architecture is described, and results are presented demonstrating its ability to reduce routine reaction time for a simple mobile robot from minutes to under a second."In AAAI-90, Vol. 2, pp. 1051– 1058