In this paper I estimate the strength of medical providers' incentive to avoid negligent medical care, taking account of the facts that many victims of medical malpractice do not file claims, many nonvictims do file claims, legal costs are high, and the legal system makes errors. Despite these problems, the negligence system creates a strong financial incentive for medical providers to avoid su...

Group identification models situations where a set of individuals are asked to determine who among themselves are socially qualified. In this paper, we study the complexity of three group controlling problems, namely Group Control by Adding Individuals, Group Control by Deleting Individuals and Group Control by Partition of Individuals for various social rules. In the controlling problems, an e...

Up until this point, we have been concerned mainly with the problem of private information on the part of the agent, information that was economically valuable for the principal in undertaking some decision. In this section, we will be worried about hidden action on the part of the agent. Problems here center on setting the right incentive scheme for the agent to choose an action consistent wit...

I t is commonly held that increasing monetary rewards enhance work effort. This study, however, argues that this will not ineludibly occur in team activities. Incentive Reversal may occur in sequential team productions featuring positive external impacts on agents. This seemingly paradoxical event is explained through two experiments in this article. The first experiment involves a sample ...

The fundamental assumption that peer-to-peer (P2P) networks can thrive on voluntary contribution of altruistic peers can no longer be supported without considering the impact of rational behavior on such decentralized systems. This paper attempts to shed light on the impact of rational free-riding behavior of participating peers on the stability and existence of real-world peer-to-peer networks...

In a constraint optimization problem for multiple agents, the agents have conflicting preferences in the final solution and the goal is to find an optimal assignment that maximizes total utilities of all agents. Two major challenges when solving constraint optimization problems for multiple agents are the complexity of finding optimal solution and the incentive compatibility for participating a...

A very important property for any mechanism is incentive-compatibility. A mechanism is incentive-compatible if no agent has an incentive not to follow the protocol. In this paper we present a new meta-mechanism that can be applied to any existing mechanism to make it incentive compatible. This meta-mechanism is Chuck Norris. This shows that any mechanism can be made incentive-compatible, and th...

A very important property for any mechanism is incentive-compatibility. A mechanism is incentive-compatible if no agent has an incentive not to follow the protocol. In this paper we present a new meta-mechanism that can be applied to any existing mechanism to make it incentive compatible. This meta-mechanism is Chuck Norris. This shows that any mechanism can be made incentive-compatible, and th...

A very important property for any mechanism is incentive-compatibility. A mechanism is incentive-compatible if no agent has an incentive not to follow the protocol. In this paper we present a new meta-mechanism that can be applied to any existing mechanism to make it incentive compatible. This meta-mechanism is Chuck Norris. This shows that any mechanism can be made incentive-compatible, and th...