Abstract
Abstract The concept of an agent has become important in both artificial intelligence (AT) and mainstream computer science. Our aim in this paper is to point the reader at what we perceive to be the most important theoretical and practical issues associated with the design and construction of intelligent agents. For convenience, we divide these issues into three areas (though as the reader will see, the divisions are at times somewhat arbitrary). Agent theory is concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of agents. Agent architectures can be thought of as software engineering models of agents; researchers in this area are primarily concerned with the problem of designing software or hardware systems that will satisfy the properties specified by agent theorists. Finally, agent languages are software systems for programming and experimenting with agents; these languages may embody principles proposed by theorists. The paper is not intended to serve as a tutorial introduction to all the issues mentioned; we hope instead simply to identify the most important issues, and point to work that elaborates on them. The article includes a short review of current and potential applications of agent technology.
Keywords
Rotation formalisms in three dimensionsComputer sciencePoint (geometry)MainstreamIntelligent agentSoftwareSoftware agentSoftware engineeringAgent architectureArtificial intelligenceManagement scienceProgramming languageEngineering
Affiliated Institutions
Related Publications
Cognitive radio: making software radios more personal
Software radios are emerging as platforms for multiband multimode personal communications systems. Radio etiquette is the set of RF bands, air interfaces, protocols, and spatial...
Designing and implementing transparency for real time inspection of autonomous robots
The EPSRC's Principles of Robotics advises the implementation of transparency in robotic systems, however research related to AI transparency is in its infancy. This paper intro...
Planning using a temporal world model
Current problem solving systems are constrained in their applicability by inadequate world models. We suggest a world model based on a temporal logic. This approach allows the p...
Introduction to Statistical Relational Learning
Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, ...
The agent network architecture (ANA)
The goal of my work is to develop and implement an architecture for an autonomous agent, which I refer to as "ANA". An ANA agent consists of a distributed set of "competence mod...
Publication Info
- Year
- 1995
- Type
- article
- Volume
- 10
- Issue
- 2
- Pages
- 115-152
- Citations
- 6494
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
6494
OpenAlex
Cite This
Michael Wooldridge,
Nicholas R. Jennings
(1995).
Intelligent agents: theory and practice.
The Knowledge Engineering Review
, 10
(2)
, 115-152.
https://doi.org/10.1017/s0269888900008122
Identifiers
- DOI
- 10.1017/s0269888900008122