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نویسنده
چکیده
When different members of a work group develop their own individual plans, or sets of tasks to achieve desired goals, there may be conflicting and synergistic interactions among these plans. Conflicts may arise when one task negates the effect of another task, or two tasks compete for the same resource. Synergies may arise if the desired effects of some tasks are also accomplished by other tasks, allowing some of the tasks to be deleted. In many organizations, plans are often poorly integrated: conflict detection and resolution are performed late in the planning cycle, resulting in costly revisions and delays, and potential synergies are overlooked and unexploited, resulting in wasted resources. This paper details a framework for solving the plan integration problem, and shows how this capability can support an important aspect of cooperative work: collaborative planning. The utility of plan integration in supponing collaborative planning is illustrated in a construction planning scenario, based on an actual project. The planning framework is domain-independent and provably correct. Unlike previous work in AI planning theory, it includes a general mechanism for reasoning about resources. The planning algorithms are implemented in Synapse, a prototype collaborative planning tool.
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