@inproceedings{cybenko:theoretic,
    author = {George Cybenko and Robert Gray and Alexy Khrabrov and Yunxin Wu},
    title = {Information theoretic principles of agents},
    booktitle = {Proceedings of the CIKM Workshop on Intelligent Information
Agents, Third International Conference on Information and Knowledge
Management (CIKM 94)},
    editor = {Yannis Labrou and Tim Finin},
    year = {1994},
    month = {December},
    copyright = {the authors},
    address = {Gaithersburg, MD},
    group = {agents},
    url = {http://agent.cs.dartmouth.edu/papers/cybenko:theoretic.html},
    keyword = {information agents},
    abstract = {This paper describes some formal models that capture many of the
properties and activities of information agents. Our view is that agents are
assigned tasks that serve to organize and reduce uncertainty in the
information resources available to the user. This leads to a notion of
entropy for information resources which agents seek to reduce in some way.
The process of reducing uncertainty in an information corpus translates into
elementary operations such as pattern matching, correlation and association.
The model suggests algorithms appropriate for monitoring redundancy in
information retrieval applications. Examples of implementations will be
presented.}
}