Kafalı, Özgur, Yolum, Pinar (2015) Pisagor: A proactive software agent for monitoring interactions. Knowledge and Information Systems, 47 (1). pp. 215-239. ISSN 0219-1377. (doi:10.1007/s10115-015-0848-1) (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:65857)
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. | |
Official URL: https://doi.org/10.1007/s10115-015-0848-1 |
Abstract
E-commerce has become an integral part of everyday life. Many e-commerce systems enable users to browse products, place orders, and track deliveries online. However, these interactions is time-consuming, especially if they do not proceed as expected. Instead of a human user, software can offer automated support to monitor e-commerce transactions to ensure that they are completed by the businesses as planned. Accordingly, this paper studies methods to develop a software agent for monitoring its users’ interactions with businesses (PISAGOR). The interactions are represented as commitments, which have been extensively studied in multiagent systems. With a commitment-based specification at hand, the agent knows what the meaning of its interactions are and can therefore reason over its actions. The reasoning is accompanied with the as-good-as relation that compares the agent’s current state with its expectations from a transaction. This enables PISAGOR to decide whether the transaction is progressing as expected. Moreover, we propose operational rules for the agent to create expectations based on its commitments and check its progress toward them. We demonstrate via a case study how PISAGOR can detect if a user’s interactions are not progressing well and identify a problem for the user to take action.
Item Type: | Article |
---|---|
DOI/Identification number: | 10.1007/s10115-015-0848-1 |
Uncontrolled keywords: | Multiagent systems, Commitments, Agent-based commerce, Expectations |
Subjects: | Q Science > Q Science (General) > Q335 Artificial intelligence |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Ozgur Kafali |
Date Deposited: | 02 Feb 2018 14:34 UTC |
Last Modified: | 05 Nov 2024 11:04 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/65857 (The current URI for this page, for reference purposes) |
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):