Common use of Offer Proposal Clause in Contracts

Offer Proposal. Bayesian models are employed to help in the se- lection of the unpredictable partial offer that is pro- posed to the other team members. Bayesian team members propose at t unpredictable partial offers in the set defined in Equation 7. Bayesian models help to select a candidate from that set. However, it is reasonable to think that in the first interactions Bayesian model do not accurately rep- resent other agents’ preferences. For that purpose, a team member invests part of the negotiation time texp in exploring the negotiation space and collect- ing information regarding the opponent’s and the team’s preferences. As long as the negotiation pro- cess has not surpassed texp, the team member just selects randomly one of candidate unpredictable where B is the set of candidate unpredictable par- tial offers that fulfill Equation 7, rand is a random number, pA(acc X) is the probability for a ▇▇▇▇▇- date unpredictable partial offer to be acceptable for the team, ▇▇▇▇(acc X) is the probability for the candidate unpredictable partial offer to be accept- able for the opponent, and wA and wop1 represent the weights given to the acceptability of the un- predictable partial offer for the team and the op- ponent, respectively (i.e., we will refer to them as Bayesian weights). Varying these Bayesian weights allow team members to show different behaviors de- pending on their inclination to satisfy either the team or the opponent with the unpredictable par- tial offer. | |