Welcome to the InfoSci Platform
An Agent-Based Framework for Emergent Process Management

An Agent-Based Framework for Emergent Process Management

John Debenham
Copyright: © 2008 |Pages: 15
ISBN13: 9781599045887|ISBN10: 1599045885|EISBN13: 9781599045900
DOI: 10.4018/978-1-59904-588-7.ch008
Cite Chapter Cite Chapter

MLA

Debenham, John. "An Agent-Based Framework for Emergent Process Management." Agent Systems in Electronic Business, edited by Eldon Y. Li and Soe-Tsyr Yuan, IGI Global, 2008, pp. 146-160. https://doi.org/10.4018/978-1-59904-588-7.ch008

APA

Debenham, J. (2008). An Agent-Based Framework for Emergent Process Management. In E. Li & S. Yuan (Eds.), Agent Systems in Electronic Business (pp. 146-160). IGI Global. https://doi.org/10.4018/978-1-59904-588-7.ch008

Chicago

Debenham, John. "An Agent-Based Framework for Emergent Process Management." In Agent Systems in Electronic Business, edited by Eldon Y. Li and Soe-Tsyr Yuan, 146-160. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-588-7.ch008

Export Reference

Mendeley
Favorite

Abstract

Emergent processes are business processes whose execution is determined by the prior knowledge of the agents involved and by the knowledge that emerges during a process instance. The amount of process knowledge that is relevant to a knowledge-driven process can be enormous and may include common sense knowledge. If a process’ knowledge can not be represented feasibly then that process can not be managed; although its execution may be partially supported. In an e-market domain, the majority of transactions, including trading orders, requests for advice and information, are knowledge-driven processes for which the knowledge base is the Internet, and so representing the knowledge is not at issue. Multiagent systems are an established platform for managing complex business processes. What is needed for emergent process management is an intelligent agent that is driven not by a process goal, but by an in-flow of knowledge, where each chunk of knowledge may be uncertain. These agents should assess the extent to which it chooses to believe that the information is correct, and so they require an inference mechanism that can cope with information of differing integrity.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.