Traditional approaches to managing business processes are often inadequate
for large-scale, organisation-wide, dynamic settings. However, since
Internet and Intranet technologies have become widespread, an increasing
number of business processes exhibit these properties. Therefore,
a new approach is needed. To this end, we describe the motivation,
conceptualization, design, and implementation of a novel agent-based
business process management system. The key advance of our system
is that responsibility for enacting various components of the business
process is delegated to a number of autonomous problem-solving agents.
To enact their role, these agents typically interact and negotiate
with other agents in order to coordinate their actions and to buy
in the services they require. This approach leads to a system that
is significantly more agile and robust than its traditional counterparts.
To help demonstrate these benefits, a companion paper describes the
application of our systemto a real-world problem faced by British
Telecom.
%0 Journal Article
%1 Jennings:2000:aai
%A Jennings, Nicholas. R.
%A Norman, T. J.
%A Faratin, P.
%A O'Brien, P.
%A Odgers, B.
%D 2000
%J Applied Artificial Intelligence
%K imported thesis
%N 2
%P 145--189
%R 10.1080/088395100117106
%T Autonomous Agents for Business Process Management
%V 14
%X Traditional approaches to managing business processes are often inadequate
for large-scale, organisation-wide, dynamic settings. However, since
Internet and Intranet technologies have become widespread, an increasing
number of business processes exhibit these properties. Therefore,
a new approach is needed. To this end, we describe the motivation,
conceptualization, design, and implementation of a novel agent-based
business process management system. The key advance of our system
is that responsibility for enacting various components of the business
process is delegated to a number of autonomous problem-solving agents.
To enact their role, these agents typically interact and negotiate
with other agents in order to coordinate their actions and to buy
in the services they require. This approach leads to a system that
is significantly more agile and robust than its traditional counterparts.
To help demonstrate these benefits, a companion paper describes the
application of our systemto a real-world problem faced by British
Telecom.
@article{Jennings:2000:aai,
abstract = {Traditional approaches to managing business processes are often inadequate
for large-scale, organisation-wide, dynamic settings. However, since
Internet and Intranet technologies have become widespread, an increasing
number of business processes exhibit these properties. Therefore,
a new approach is needed. To this end, we describe the motivation,
conceptualization, design, and implementation of a novel agent-based
business process management system. The key advance of our system
is that responsibility for enacting various components of the business
process is delegated to a number of autonomous problem-solving agents.
To enact their role, these agents typically interact and negotiate
with other agents in order to coordinate their actions and to buy
in the services they require. This approach leads to a system that
is significantly more agile and robust than its traditional counterparts.
To help demonstrate these benefits, a companion paper describes the
application of our systemto a real-world problem faced by British
Telecom.},
added-at = {2017-03-16T11:50:55.000+0100},
author = {Jennings, Nicholas. R. and Norman, T. J. and Faratin, P. and O'Brien, P. and Odgers, B.},
biburl = {https://www.bibsonomy.org/bibtex/2ef4385cd24eb3a90d2cb63257b20d7ad/krevelen},
doi = {10.1080/088395100117106},
interhash = {60c1fea6a469e8c69a31b99b91e275e1},
intrahash = {ef4385cd24eb3a90d2cb63257b20d7ad},
journal = {Applied Artificial Intelligence},
keywords = {imported thesis},
month = feb,
number = 2,
owner = {Rick},
pages = {145--189},
timestamp = {2017-03-16T11:54:14.000+0100},
title = {Autonomous Agents for Business Process Management},
volume = 14,
year = 2000
}