4,236 research outputs found
Mediation, Walrasian Tatonement, and Negotiations as an Exchange Economy
Alternative dispute resolution (ADR) procedures, such as mediation and arbitration, are becoming increasingly used to help resolve disputes in a variety of arenas. Among ADR procedures, mediation is the most utilized yet least analyzed procedure. This article examines negotiations and dispute resolution using the tools of general equilibrium theory. Specifically, mediators function as the Walrasian auctioneers of exchange theory by altering trade-off rates among bargaining issues. In this way, mediators facilitate a process leading towards voluntary settlement. This idea of Walrasian mediation is supported by the literature on mediation and mediator techniques, and so this insight opens up mediation to much more rigorous economic analysis. Among the implications of this approach are: 1) successful mediation leads to Pareto efficient settlements; 2) non-neutral mediatorsâthose with a stake in the outcomeâcan guide negotiators towards preferred outcomes by introducing resources into mediation; 3) mediation Pareto dominates arbitration for resolving disputes.
An Evolutionary Approach for Learning Opponent's Deadline and Reserve Points in Multi-Issue Negotiation
The efficiency of automated multi-issue negotiation depends on the available information about the opponent. In a competitive negotiation environment, agents do not reveal their parameters to their opponents in order to avoid exploitation. Several researchers have argued that an agent's optimal strategy can be determined using the opponent's deadline and reserve points. In this paper, we propose a new learning agent, so-called Evolutionary Learning Agent (ELA), able to estimate its opponent's deadline and reserve points in bilateral multi-issue negotiation based on opponent's counter-offers (without any additional extra information). ELA reduces the learning problem to a system of non-linear equations and uses an evolutionary algorithm based on the elitism aspect to solve it. Experimental study shows that our learning agent outperforms others agents by improving its outcome in term of average and joint utility
Applications of Quantitative Methods in Environmental Economics: Econometrics, Simulation Modelling and Experiments
In Part I of this thesis we employ novel econometric techniques to explore elicitation anomalies in contingent valuation (CV). According to standard assumptions regarding preferences, changes in the way values are elicited in CV questions should be decision irrelevant. That responses are observed to systematically differ according to elicitation
format has, therefore, called the CV method into question. One possible explanation lies in the proposition that respondents are uncertain about their preferences and that their uncertainty precipitates systematically different responses to different question formats. We test this hypothesis using data from a split-sample CV survey. We analyse
our data using an innovative application of a semi-parametric estimator more commonly used for duration modelling in the medical sciences but find that uncertainty alone cannot explain away common elicitation anomalies.
In Part II we employ simulation modelling and experimental techniques to investigate payment for ecosystem services (PES) schemes that involve multiple buyers. In Chapter 2, we explore opportunities for buyers in PES scheme to realise Paretoimproving outcomes through spatial coordination in their independent purchases of changes to land-management practices. We develop a simulation environment
imitating a heterogeneous agricultural landscape and using techniques of integer-linear programming solve for outcomes under different institutional arrangements. Our simulations allow us to explore how gains from negotiated or fully-cooperative purchasing differ across different configurations of landscape and buyer objectives. In
Chapter 3, we investigate negotiation as a multiple-purchaser ecosystem service procurement mechanism. We design and conduct novel three-person bargaining experiments in which two potential buyers can negotiate not only between each other but also with a seller of ecosystem services. We find that negotiated deals can be reached that are mutually advantageous to all parties. In all treatment scenarios
presented, the vast majority of groups are able to reach agreements; in addition, these agreements are reached relatively quickly
Gradualism and Uncertainty in International Union Formation
This paper introduces a new theoretical framework of international unions qua coalitions of countries adopting a common policy and common supranational institutions. We introduce a general class of non-cooperative spatial bargaining games of coalition formation among three countries in order to examine the endogenous strategic considerations in the creation and enlargement of international unions. Why would we observe a gradualist approach in the formation of the grand coalition even if the latter is assumed to be weakly efficient? We propose uncertainty about the benefits of integration as a mechanism that can generate gradual union formation in equilibrium. As it turns out, it may well be in the âcoreâ countriesâ interest to delay the accession of a third, peripheral country in order to i) stack the institutional make-up of the initial union in their favor and ii) signal their high resolve to wait out the expansion of their bilateral subunion. A related case from the European Union provides an interesting illustration.
Computational intelligence based complex adaptive system-of-systems architecture evolution strategy
The dynamic planning for a system-of-systems (SoS) is a challenging endeavor. Large scale organizations and operations constantly face challenges to incorporate new systems and upgrade existing systems over a period of time under threats, constrained budget and uncertainty. It is therefore necessary for the program managers to be able to look at the future scenarios and critically assess the impact of technology and stakeholder changes. Managers and engineers are always looking for options that signify affordable acquisition selections and lessen the cycle time for early acquisition and new technology addition. This research helps in analyzing sequential decisions in an evolving SoS architecture based on the wave model through three key features namely; meta-architecture generation, architecture assessment and architecture implementation. Meta-architectures are generated using evolutionary algorithms and assessed using type II fuzzy nets. The approach can accommodate diverse stakeholder views and convert them to key performance parameters (KPP) and use them for architecture assessment. On the other hand, it is not possible to implement such architecture without persuading the systems to participate into the meta-architecture. To address this issue a negotiation model is proposed which helps the SoS manger to adapt his strategy based on system owners behavior. This work helps in capturing the varied differences in the resources required by systems to prepare for participation. The viewpoints of multiple stakeholders are aggregated to assess the overall mission effectiveness of the overarching objective. An SAR SoS example problem illustrates application of the method. Also a dynamic programing approach can be used for generating meta-architectures based on the wave model. --Abstract, page iii
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