25,532 research outputs found
Negotiation in Multi-Agent Systems
In systems composed of multiple autonomous agents, negotiation is a key form of interaction that enables groups of agents to arrive at a mutual agreement regarding some belief, goal or plan, for example. Particularly because the agents are autonomous and cannot be assumed to be benevolent, agents must influence others to convince them to act in certain ways, and negotiation is thus critical for managing such inter-agent dependencies. The process of negotiation may be of many different forms, such as auctions, protocols in the style of the contract net, and argumentation, but it is unclear just how sophisticated the agents or the protocols for interaction must be for successful negotiation in different contexts. All these issues were raised in the panel session on negotiation
Mechanism design for distributed task and resource allocation among self-interested agents in virtual organizations
The aggregate power of all resources on the Internet is enormous. The Internet can
be viewed as a massive virtual organization that holds tremendous amounts of information
and resources with different ownerships. However, little is known about how to run this
organization efficiently.
This dissertation studies the problems of distributed task and resource allocation
among self-interested agents in virtual organizations. The developed solutions are not
allocation mechanisms that can be imposed by a centralized designer, but decentralized
interaction mechanisms that provide incentives to self-interested agents to behave
cooperatively. These mechanisms also take computational tractability into consideration
due to the inherent complexity of distributed task and resource allocation problems.
Targeted allocation mechanisms can achieve global task allocation efficiency in a
virtual organization and establish stable resource-sharing communities based on agentsĆĆĀ¢ĆĆĆĆ
own decisions about whether or not to behave cooperatively. This high level goal requires
solving the following problems: synthetic task allocation, decentralized coalition formation
and automated multiparty negotiation. For synthetic task allocation, in which each task needs to be accomplished by a
virtual team composed of self-interested agents from different real organizations, my
approach is to formalize the synthetic task allocation problem as an algorithmic mechanism
design optimization problem. I have developed two approximation mechanisms that I prove
are incentive compatible for a synthetic task allocation problem.
This dissertation also develops a decentralized coalition formation mechanism,
which is based on explicit negotiation among self-interested agents. Each agent makes its
own decisions about whether or not to join a candidate coalition. The resulting coalitions
are stable in the core in terms of coalition rationality. I have applied this mechanism to
form resource sharing coalitions in computational grids and buyer coalitions in electronic
markets.
The developed negotiation mechanism in the decentralized coalition formation
mechanism realizes automated multilateral negotiation among self-interested agents who
have symmetric authority (i.e., no mediator exists and agents are peers).
In combination, the decentralized allocation mechanisms presented in this
dissertation lay a foundation for realizing automated resource management in open and
scalable virtual organizations
Agents and E-commerce: Beyond Automation
The fast-growing information and communication technologies have shifted the contemporary commerce in both its information and market spaces. Businesses demand a new generation of agile and adaptive commerce systems. Towards this end, software agents, a type of autonomous artifacts, have been viewed as a promising solution. They have been taking an increasingly important part in facilitating e-commerce operations in the last two decades. This article presents a systematized overview of the diversity of agent applications in commerce. The paper argues that agents start playing more substantial role in determining social affairs. They also have a strong potential to be used to build the future highly responsive and smart e-commerce systems. The opportunities and challenges presented by proliferation of agent technologies in e-commerce necessitate the development of insights into their place in information systems research, as well as practical implications for the management
Mechanisms for Automated Negotiation in State Oriented Domains
This paper lays part of the groundwork for a domain theory of negotiation,
that is, a way of classifying interactions so that it is clear, given a domain,
which negotiation mechanisms and strategies are appropriate. We define State
Oriented Domains, a general category of interaction. Necessary and sufficient
conditions for cooperation are outlined. We use the notion of worth in an
altered definition of utility, thus enabling agreements in a wider class of
joint-goal reachable situations. An approach is offered for conflict
resolution, and it is shown that even in a conflict situation, partial
cooperative steps can be taken by interacting agents (that is, agents in
fundamental conflict might still agree to cooperate up to a certain point). A
Unified Negotiation Protocol (UNP) is developed that can be used in all types
of encounters. It is shown that in certain borderline cooperative situations, a
partial cooperative agreement (i.e., one that does not achieve all agents'
goals) might be preferred by all agents, even though there exists a rational
agreement that would achieve all their goals. Finally, we analyze cases where
agents have incomplete information on the goals and worth of other agents.
First we consider the case where agents' goals are private information, and we
analyze what goal declaration strategies the agents might adopt to increase
their utility. Then, we consider the situation where the agents' goals (and
therefore stand-alone costs) are common knowledge, but the worth they attach to
their goals is private information. We introduce two mechanisms, one 'strict',
the other 'tolerant', and analyze their affects on the stability and efficiency
of negotiation outcomes.Comment: See http://www.jair.org/ for any accompanying file
Risk-bounded formation of fuzzy coalitions among service agents.
Cooperative autonomous agents form coalitions in order ro share and combine resources and services to efficiently respond to market demands. With the variety of resources and services provided online today, there is a need for stable and flexible techniques to support the automation of agent coalition formation in this context. This paper describes an approach to the problem based on fuzzy coalitions. Compared with a classic cooperative game with crisp coalitions (where each agent is a full member of exactly one coalition), an agent can participate in multiple coalitions with varying degrees of involvement. This gives the agent more freedom and flexibility, allowing them to make full use of their resources, thus maximising utility, even if only comparatively small coalitions are formed. An important aspect of our approach is that the agents can control and bound the risk caused by the possible failure or default of some partner agents by spreading their involvement in diverse coalitions
State-government bailouts in Brazil
As a result of the consolidation of the democracy after the end of the military regime in the mid-1980s, Brazil has gone through a period of remarkable decentralization both in fiscal and political terms. The move towards decentralized management and control of public finances has been followed by a series of bailouts of state governments by the federal government. The lack of effective control on borrowing, coupled with reputational effects originating from these repeated bailout operations, reduced fiscal discipline and created an explosive accumulation of debts in Brazilian states during the last decade. The main purpose of this paper is to assess the determinants of state debt bailouts in Brazil and their relationship with statesā fiscal discipline during the 1990s. After providing a brief overview of intergovernmental fiscal relationships in the Brazilian economy, the paper describes state debt developments from the mid-1980s on, with special emphasis on the 1989, 1993 and 1997 state debt bailouts. Then it discusses the determinants of state debt bailouts in Brazil along the lines of a conceptual framework which recognizes that the essence of the bailout question is the issue of moral hazard and also presents empirical evidence that the occurrence of bailouts is associated with lower fiscal discipline in Brazilian states during the 1990s.
Preliminary Results for Cooperative Extensions of the Bayesian Game
The descriptive theory of cooperative game with incomplete information developed to date is surveyed. The theory has the potential to provide game-theoretical foundations of economic analysis of the free societies in which organizations (coalitions) as corporations institute a non-market resource allocation mechanism while using the market resource allocation mechanism at the same time. The present-day corporations are interdependent, so the required game theory needs to model an environment in which the feasibility and implications of coordinated strategy choice within a coalition are influenced by the outsiders of strategy choice. The first part of the paper provides the key ingredients. After formulating the basic one-shot model, which synthesizes Harsanyi's Bayesian game and Aumann and Peleg's non-side-payment game (NTU game), and illustrating economic examples, two required conditions on an endogenously determined strategy are discussed: measurability with respect to an information structure, and Bayesian incentive compatibility. Several descriptive solution concepts that have been proposed to date are discussed. The second part addresses six issues studied in the literature: First, the existence of the descriptive solutions in the general setup. Second, explanation of information revelation, that is, a process through which private information turns into public information. Third, definitions of efficiency. Fourth, comparisons of several core concepts. Fifth, the existence results specific only to the Bayesian pure exchange economy, and revival of the core convergence theorem within the framework of the Bayesian pure exchange economy. Sixth, another view on coalition formation, specifically analyses of situations in which coalitional membership is anonymous.
Coalition based approach for shop floor agility ā a multiagent approach
Dissertation submitted for a PhD degree in Electrical Engineering, speciality of Robotics and Integrated Manufacturing from the Universidade Nova de Lisboa, Faculdade de CiĆŖncias e TecnologiaThis thesis addresses the problem of shop floor agility. In order to cope with the disturbances and uncertainties that characterise the current business scenarios faced by manufacturing companies, the
capability of their shop floors needs to be improved quickly, such that these shop floors may be adapted, changed or become easily modifiable (shop floor reengineering).
One of the critical elements in any shop floor reengineering process is the way the control/supervision architecture is changed or modified to accommodate for the new processes and equipment. This thesis,
therefore, proposes an architecture to support the fast adaptation or changes in the control/supervision architecture. This architecture postulates that manufacturing systems are no more than compositions of
modularised manufacturing components whose interactions when aggregated are governed by
contractual mechanisms that favour configuration over reprogramming.
A multiagent based reference architecture called Coalition Based Approach for Shop floor Agility ā CoBASA, was created to support fast adaptation and changes of shop floor control architectures with minimal effort. The coalitions are composed of agentified manufacturing components (modules), whose relationships within the coalitions are governed by contracts that are configured whenever a coalition is established. Creating and changing a coalition do not involve programming effort because it only requires changes to the contract that regulates it
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