An agent programming manifesto

There has been considerable progress in both the theory and practice of agent programming since Georgeff & 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...

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Main Author: Logan, Brian
Format: Article
Published: InderScience Publishing 2017
Online Access:https://eprints.nottingham.ac.uk/44513/
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author Logan, Brian
author_facet Logan, Brian
author_sort Logan, Brian
building Nottingham Research Data Repository
collection Online Access
description There has been considerable progress in both the theory and practice of agent programming since Georgeff & 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.
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spelling nottingham-445132020-05-04T18:54:25Z https://eprints.nottingham.ac.uk/44513/ An agent programming manifesto Logan, Brian There has been considerable progress in both the theory and practice of agent programming since Georgeff & 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. InderScience Publishing 2017-07-07 Article PeerReviewed Logan, Brian (2017) An agent programming manifesto. International Journal of Agent-Orientated Software Engineering . ISSN 1746-1383 (In Press)
spellingShingle Logan, Brian
An agent programming manifesto
title An agent programming manifesto
title_full An agent programming manifesto
title_fullStr An agent programming manifesto
title_full_unstemmed An agent programming manifesto
title_short An agent programming manifesto
title_sort agent programming manifesto
url https://eprints.nottingham.ac.uk/44513/