Intelligent Agents = Learning Agents

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

21 Downloads (Pure)


The title of this workshop (Intelligent Agents) will almost certainly mean different things to different people; some will interpret it as being a forum of discussion of issues in multi-agent systems, while others will consider it the appropriate place to present the latest results of intelligent user-interface research or mobile agent technology. The term agent is troublesome, simply because it is used by so many different communities within Computer Science. Each community has its own unique definition of the term; however, one characteristic which seems to be common is the concept of agents as autonomous entities. In essence, my thesis is that to be truly autonomous, agents must employ some form of learning capability, i.e. that intelligent agents are learning agents. By learning agent, I mean any agent which learns about the environment in which it operates, the user(s) it interacts with, or other agents. In the next section I present a number of scenarios to illustrate this point.
Original languageEnglish
Title of host publicationProceedings of the UK Intelligent Agents Workshop
EditorsJ L Nealon, N S Taylor
PublisherBCS SGES
Publication statusPublished - 1997


  • agents
  • machine learning
  • adaptation


Dive into the research topics of 'Intelligent Agents = Learning Agents'. Together they form a unique fingerprint.

Cite this