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	Kambhampati, Subbarao     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 5 of 5 reviews       Robust planning with incomplete domain models Nguyen T., Sreedharan S., Kambhampati S. Artificial Intelligence 245 134-161, 2017.  Type: Article To develop a plan, a model is constructed. In the model, it is necessary to have complete knowledge about the states, functionalities, and dynamics of the agents in the domain, system, or scenario. These necessities cannot be afforded ...... Sep 15 2017     On the nature and role of modal truth criteria in planning Kambhampati S., Nau D. Artificial Intelligence 82(1-2): 129-155, 1996.  Type: Article Kambhampati and Nau discuss the modal truth criterion for partial-order planning, which was formulated by Chapman [1]. Their conclusions include the absence of duality between necessary and possible truth for TWEAK-style planning; the ...... Dec 1 1996     Planning as refinement search Kambhampati S., Knoblock C., Yang Q. Artificial Intelligence 76(1-2): 167-238, 1995.  Type: Article A unified approach for examining the various tradeoffs in partial-order planning is provided. Essential to this process is a unified representation and semantics for partial-order planning in terms of refinement search. The authors sho...... Sep 1 1996     A unified framework for explanation-based generalization of partially ordered and partially instantiated plans Kambhampati S., Kedar S. (ed) Artificial Intelligence 67(1): 29-70, 1994.  Type: Article Suppose that we have a plan that makes a set of conditions true. An explanation of the plan is a set of validations. Each validation justifies the use of an operator to achieve some part of the final goal while also asserting that this...... May 1 1995     A validation-structure-based theory of plan modification and reuse Kambhampati S., Hendler J. Artificial Intelligence 55(2-3): 193-258, 1992.  Type: Article The ability to modify existing plans to accommodate changes in problem specifications is an important source of substantial efficiency improvements by reducing the computational effort required by the planning process. This paper is co...... Nov 1 1993
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