Introduction to advanced transaction models
Database transaction models for advanced applications
The Michigan Internet AuctionBot: a configurable auction server for human and software agents
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Economic dynamics of agents in multiple auctions
Proceedings of the fifth international conference on Autonomous agents
An auction agent for bidding on combinations of items
Proceedings of the fifth international conference on Autonomous agents
A probabilistic approach to automated bidding in alternative auctions
Proceedings of the 11th international conference on World Wide Web
Transaction Processing: Concepts and Techniques
Transaction Processing: Concepts and Techniques
Autonomous Bidding Agents in the Trading Agent Competition
IEEE Internet Computing
Proceedings of an Advanced Course on Petri Nets: Central Models and Their Properties, Advances in Petri Nets 1986-Part I
Designing Bidding Strategies for Trading Agents in Electronic Auctions
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
A programming language
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With the increasing number of market places and potential trading partners across the e-commerce environment, it will become natural for multiple trading activities to be deployed as part of single trading strategy. This paper describes a multi-process model for controlling interrelated trading activities. The model includes a powerful generic synchronization construct for building a variety of executable trading engines. The modular design of the construct enables the realization of complex trading schemes, including a number of well known strategies from the financial trading domain. A homogeneous interface is defined to allow seamless integration of control modules built using this construct with elementary trading tasks which directly interact with the trading partners using various negotiation protocols. The model also enables iterative negotiation capabilities, which are essential in any complex trading environment. In addition, the model is designed to be orthogonal to the reasoning model so that any reasoning mechanism can be plugged into it.