Skip to main content
Kent Academic Repository

DIESECT: A distributed environment for simulating e-commerce contracts

Wood, Damian and Kafalı, Özgur and Stathis, Kostas (2013) DIESECT: A distributed environment for simulating e-commerce contracts. In: Huemer, Christian and Lops, Pasquale, eds. E-Commerce and Web Technologies 14th International Conference. Lecture Notes in Business Information Processing . Springer, Berlin, Germany, pp. 39-50. ISBN 978-3-642-39877-3. E-ISBN 978-3-642-39878-0. (doi:10.1007/978-3-642-39878-0_4) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:65882)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
https://dx.doi.org/10.1007/978-3-642-39878-0_4

Abstract

We study the development of a distributed, agent-based, simulation environment where autonomous agents execute e-commerce contracts. We present a multi-agent architecture in which contracts are represented as a set of commitments that an agent must be capable of monitoring and reason with in order to be able to verify that the contract is not violated during interaction. We employ the JADE agent platform to build the multi-agent simulation infrastructure, and the Reactive Event Calculus to provide agent reasoning for monitoring and verification of contracts. We then experimentally evaluate the performance of our system by analysing the time and memory requirements as the number of agents increases, and by looking whether the behaviours of agents have any significant effect on the system’s overall performance.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-642-39878-0_4
Uncontrolled keywords: Agent Technology for E-Commerce, Contracts and Commitments, Distributed Simulation
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Ozgur Kafali
Date Deposited: 04 Feb 2018 13:42 UTC
Last Modified: 16 Feb 2021 13:52 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/65882 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.