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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Meirina, C. Levchuk, Y.N. Levchuk, G.M. Pattipati, K.R. |
| Copyright Year | 1996 |
| Abstract | A new Markov decision problem (MDP)-based method for managing goal attainment (GA), which is the process of planning and controlling actions that are related to the achievement of a set of defined goals in the presence of resource and time constraints, is proposed. Specifically, we address the problem as one of optimally selecting a sequence of actions to transform the system and/or its environment from an initial state to a desired state. We begin with a method of explicitly mapping an action-GA graph to an MDP graph and developing a dynamic programming (DP) recursion to solve the MDP problem. For larger problems having exponential complexity with respect to the number of goals, we propose guided search algorithms such as AO*, AOepsiv*, and greedy search techniques, whose search power rests on the efficiency of their heuristic evaluation functions (HEFs). Our contribution in this part stems from the introduction of a new problem-specific HEF to aid the search process. We demonstrate reductions in the computational costs of the proposed techniques through performance comparison with standard DP techniques. We conclude this paper with a method to address situations in which alternative strategies (e.g., second best) are required. The new extended AO* algorithm identifies alternative control sequences for attaining the organizational goals. |
| Sponsorship | IEEE Systems, Man, and Cybernetics Society |
| Starting Page | 116 |
| Ending Page | 132 |
| Page Count | 17 |
| File Size | 1588020 |
| File Format | |
| ISSN | 10834427 |
| Volume Number | 38 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Resource management Time factors Dynamic programming Art Process planning Computational efficiency Cost function Stochastic processes Scheduling planning and control Action-goal attainment graph dynamic programming extended $\hbox{AO}^{\ast}$ algorithm goal management graph search heuristic evaluation function heuristic search Markov decision problem |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Information Systems Electrical and Electronic Engineering Human-Computer Interaction Computer Science Applications Software |
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