An agent programming manifesto Online publication date: Fri, 31-Aug-2018
by Brian Logan
International Journal of Agent-Oriented Software Engineering (IJAOSE), Vol. 6, No. 2, 2018
Abstract: There has been considerable progress in both the theory and practice of agent programming since Georgeff and Rao's seminal work on the belief-desire-intention paradigm. However, despite increasing interest in the development of autonomous systems, applications of agent programming are confined to a small number of niche areas and adoption of agent programming languages in mainstream software development remains limited. This state of affairs is widely acknowledged within the community and a number of reasons and remedies have been proposed. In this paper, I present an analysis of why agent programming has failed to make an impact that is rooted in the class of programming problems agent programming sets out to solve, namely the realisation of flexible intelligent behaviour in dynamic and unpredictable environments. Based on this analysis, I outline some suggestions for the future direction of agent programming and some principles that I believe any successful future direction must follow.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Agent-Oriented Software Engineering (IJAOSE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook