2 | | considerations derived from the agent's own utility space only. It calculates a |
3 | | utility of a next offer, called ''target utility'', based on the current |
4 | | utility gap between the last opponent's offer and the last own offer. To |
5 | | determine the next offer the target utility is propagated to the individual |
6 | | issues taking into account the weights of the issues in the agent's preferences |
7 | | profile. The ABMP strategy can be fine-tuned with a number of parameters, such as |
| 2 | considerations derived from the agent's own utility space only. |
| 3 | |
| 4 | It calculates the utility of a next offer, called ''target utility'', based on the current utility gap between the last opponent's offer and the last own offer. To |
| 5 | determine the next offer the target utility is propagated to the individual issues taking into account the weights of the issues in the agent's preferences profile. The ABMP strategy can be fine-tuned with a number of parameters, such as |