نتایج جستجو برای: regret analysis
تعداد نتایج: 2828405 فیلتر نتایج به سال:
The current work explored the relations among reactance, regret, and behavioral choice. A possible mechanism for reactance in opposition to persuasion attempts involves people anticipating greater regret for negative outcomes after complying with an agent of persuasion than for negative outcomes after reacting against an agent of persuasion. Some participants were asked to anticipate regret pri...
Although regret is assumed to facilitate good decision making, there is little research directly addressing this assumption. Four experiments (N = 326) examined the relation between children's ability to experience regret and the quality of their subsequent decision making. In Experiment 1 regret and adaptive decision making showed the same developmental profile, with both first appearing at ab...
We investigate the effect of regret-related feedback information on bidding behavior in sealed-bid first-price auctions. Two types of regret are possible in this auction format. A winner of the auction may regret paying too much relative to the second highest bid, and a loser may regret missing an opportunity to win at a favorable price. In theory, under very general conditions, being sensitive...
Counterfactual Regret Minimization (CFR) is an efficient no-regret learning algorithm for decision problems modeled as extensive games. CFR’s regret bounds depend on the requirement of perfect recall: players always remember information that was revealed to them and the order in which it was revealed. In games without perfect recall, however, CFR’s guarantees do not apply. In this paper, we pre...
This paper investigates, for the first time in the literature, the approximation of minmax (regret) versions of classical problems like shortest path, minimum spanning tree, and knapsack. For a constant number of scenarios, we establish fully polynomial-time approximation schemes for the min-max versions of these problems, using relationships between multi-objective and min-max optimization. Us...
We consider an Arrow-Debreu economy in which expected-utility-maximizing agents are sensitive to regret. According to regret theory, the marginal utility of their consumption is increasing in the maximum payoff that they could have obtained if they would have made another choice ex ante. We show that regret biases the optimal portfolio allocation towards assets that perform particularly well in...
It is often suggested that when opinions differ among individuals in a group, the should be aggregated to form compromise. This paper compares two approaches aggregating opinions, linear pooling and what I call opinion agglomeration. In evaluating both strategies, propose pragmatic criterion, No Regrets, entailing an aggregation strategy prevent groups from buying selling bets on events at pric...
We revisit the celebrated Bayesian persuasion setting and examine how well Sender can perform when ignorant of Receiver's utility. Taking an adversarial approach, we measure signaling scheme performance via (additive) regret over a single instance. focus on Receiver with two actions: adoption rejection , assuming that aims to persuade adopt. show while Sender's total ignorance utility is extrem...
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