Negotiation and cooperation in multi-agent environments
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Communication and Concurrency
Handbook of Process Algebra
Game Theory and Decision Theory in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
Satisficing Equilibria: A Non-Classical Theory of Games and Decisions
Autonomous Agents and Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
A Formal Framework for E-Barter Based on Microeconomic Theory and Process Algebras
IICS '02 Proceedings of the Second International Workshop on Innovative Internet Computing Systems
Characterizing termination in LOTOS via testing
Proceedings of the Fifteenth IFIP WG6.1 International Symposium on Protocol Specification, Testing and Verification XV
PAMR: A Process Algebra for the Management of Resources in Concurrent Systems
FORTE '01 Proceedings of the IFIP TC6/WG6.1 - 21st International Conference on Formal Techniques for Networked and Distributed Systems
Game Theory and Artificial Intelligence
Selected papers from the UKMAS Workshop on Foundations and Applications of Multi-Agent Systems
Markets without Makers - A Framework for Decentralized Economic Coordination in Multiagent Systems
WELCOM '01 Proceedings of the Second International Workshop on Electronic Commerce
Agents in Electronic Commerce: Component Technologies for Automated Negation and Coalition Formation
CIA '98 Proceedings of the Second International Workshop on Cooperative Information Agents II, Learning, Mobility and Electronic Commerce for Information Discovery on the Internet
Efficient utility functions for ceteris paribus preferences
Eighteenth national conference on Artificial intelligence
Agents, self-interest and electronic markets
The Knowledge Engineering Review
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
Graphical models for preference and utility
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Automated test scenarios generation for an e-barter system
Proceedings of the 2004 ACM symposium on Applied computing
Web Services for E-commerce: guaranteeing security access and quality of service
Proceedings of the 2004 ACM symposium on Applied computing
Formal specification of multi-agent e-barter systems
Science of Computer Programming
PBS: Private Bartering Systems
Financial Cryptography and Data Security
From Theoretical e-barter Models to an Implementation Based on Web Services
Electronic Notes in Theoretical Computer Science (ENTCS)
Introducing CEES: complex economic environments simulator
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartII
XML-based e-barter system for circular supply exchange
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
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An e-barter multi-agent system consists of a set of agents exchanging goods. In contrast to e-commerce systems, transactions do not necessarily involve the exchange of money. Agents are equipped with a utility function to simulate the preferences of the customers that they are representing. They are grouped into local markets, according to the localities of the corresponding customers. Once these markets are saturated (i.e. no more exchanges can be performed) new agents, representing those local markets, are generated and combined into new markets. By reiteratively applying this process we finally get a global market.Even though a formalism to define e-barter architectures has been already introduced, that framework had a strong drawback: Neither transaction nor shipping costs were considered. In this paper we extend that framework to deal with systems where fees have to be paid to the owner of the system. These fees depend on the goods involved in the corresponding exchanges. In addition, shipping costs have also to be paid. These modifications complicate the setting because the utility that customers receive after exchanging goods is not directly given by the original utility function. That is, the returned utility after an exchange is performed has to be computed as a combination of the former utility and the derived costs. In particular, some exchanges may be disallowed because those costs exceed the increase of utility returned by the new basket of goods.