TAILIEUCHUNG - PLANNING THE PROJECT MANAGEMENT WAY: EFFICIENT PLANNING BY EFFECTIVE INTEGRATION OF CAUSAL AND RESOURCE REASONING IN REALPLAN

More importantly, the handbook is meant to be practical, and usable at various levels of distance education systems. What immediately comes to mind is the Virtual University of the Small States of the Commonwealth (VUSSC). The VUSSC is a developing and vibrant institution, and the present volume serves as a contribution to the commonwealth of knowledge that the VUSSC epitomises. Readers are urged to consult other readings to augment their insights. This will result in a considerable depth and sophistication in the use of project management skills and techniques. Since the book provides only a short guideline, and. | Planning the Project Management Way Efficient Planning by Effective Integration of Causal and Resource Reasoning in RealPlan Biplav Srivastava Subbarao Kambhampati and Minh B. Do Email Knhminh Department of Computer Science and Engineering Arizona state Umvereity Tempe. AZ 85W1-5ịOS. http rakaposhi. eas. asu. edu yochan. html Abstract In most real-world reasoning problems planning and scheduling phases are loosely coupled. For example in project planning the user conies up with a task list and schedules it with a scheduling tool like Microsoft Project. One can view automated planning in a similar way in winch there is an action selection phase where actions are selected and ordered to reach the desired goals and a resource allocation phase where enough resources are assigned to ensure the successful execution of the chosen actions. On the other hand most existing automated planners studied In Artificial Intelligence do not exploit this loose-coupling and perform both action selection and resource assignment employing the same algorithm. The current work shows that the above strategy severely curtails the scale-up potential of existing state of the art planners which can be overcome by leveraging the loose coupling. Specifically a novel planning framework called RealPlan is developed in which resource allocation is de-coupled from planning and is handled in a separate scheduling phase. The scheduling problem with discrete resources is represented as a Constraint Satisfaction Problem CSP problem and the planner and scheduler Interact either in a master-slave manner or in a peer-peer relationship. In the former the scheduler simply tries to assign resources to the abstract causal plan passed to it by the planner and returns success. In the latter a more sophisticated multi-module dependency directed backtracking approach is used where the failure explanation in the scheduler is translated back to the planner and serves as a nogood to direct .

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