Abstract
A strategy to solve the problems of contractors in determining the optimal payment of a contract is presented. It is a four-step contracting strategy for computing probability of success, failure and payoffs of accomplishing a contract. First step is modeling future contracting process stochastically as a Markov process (MP). After the contract has been modelled, transition probabilities between MP states are then computed. The probability of success and failure, and the payoff of a contract can now be computed based on MP theory. Finally, the contractor uses a simple generate-and-test to find the optimal payment for the contract.
Original language | English |
---|---|
Pages | 1400 |
Number of pages | 1 |
Publication status | Published - 1996 |
Event | Proceedings of the 1996 13th National Conference on Artificial Intelligence. Part 2 (of 2) - Portland, OR, USA Duration: 1996 Aug 4 → 1996 Aug 8 |
Conference
Conference | Proceedings of the 1996 13th National Conference on Artificial Intelligence. Part 2 (of 2) |
---|---|
City | Portland, OR, USA |
Period | 96/8/4 → 96/8/8 |
All Science Journal Classification (ASJC) codes
- Software
- Artificial Intelligence