The objective of this document(*)
is to provide some rational, structured access to an analysis of cognitive and agent architectures (for
more information on accessing the document, see the Reader's Guide). Twelve architectures have
been used for this preliminary analysis representing a wide range of
current architectures in artificial
intelligence (AI). The aim of the project is to facilitate both
an understanding of current architectures and provide insight to the
development of future, improved intelligent agent architectures.
This work was based on publications from 1992 and before and has not
been authorized by the researchers responsible for particular
architectures (see DISCLAIMER for additional
information).
On Event Processing Agents implies a “new” event processing reference architecture with terms like,
(1) simple event processing agents for filtering and routing,
(2) mediated event processing agents for event enrichment, transformation, validation,
(3) complex event processing agents for pattern detection, and
(4) intelligent event processing agents for prediction, decisions.
Frankly, while I generally agree with the concepts, I think the terms in On Event Processing Agents tend to add to the confusion because these concepts in On Event Processing Agents are following, almost exactly, the same reference architecture (and terms) for MSDF, illustrated again below to aid the reader.
ABLE is a Java framework, component library, and productivity tool kit for building intelligent agents using machine learning and reasoning. The ABLE research project is made available by the IBM T. J. Watson Research Center.
Business narrative is a set of techniques based on the collection and interpretation of stories collected from a workplace. This technique is most effective when applied to seemingly intractable problems such as culture change, trust, innovation, leadersh
Brand new... good for you! "To endow computers with common sense is one of the major long-term goals of Artificial Intelligence research. One approach to this problem is to formalize commonsense reasoning using mathematical logic."
Multiple channels and types of events…
… executing in multiple Inference Agents (Event Processing Agents on an Event Processing Network)…
… where Events drive Production Rules with associated (shared) data…
… and event patterns (complex events) are derived from the simple events and also drive Production Rules via inferencing…
… to lead to “real-time” decisions.
Actually the conceptual model of EPN (event processing network) can be thought as a kind of data flow (although I prefer the term event flow - as what is flowing is really events). The processing unit is EPA (Event Processing Agent). There are indeed two types of input to EPA, which can be called "set-at-a-time" and "event-at-a-time". Typically SQL based languages are more geared to "set-at-a-time", and other languages styles (like ECA rule) are working "event-at-a-time". From conceptual point of view, an EPA get events in channels, one input channels may be of a "stream" type, and in other, the event flow one-by-one. As there are some functions that are naturally set-oriented and other that are naturally event-at-a-time oriented, and application may not fall nicely into one of them, it makes sense to have kind of hybrid systems, and have EPN as the conceptual model on top of both of them...
Media reform is required to enable dissident voices to be democratically heard. This paper examines the complex interface between mass media & social movements, and collective actions to improve activism's media coverage.
IIM is a peer reviewed international journal dedicated to the latest advancement of intelligent information management. The goal of this journal is to keep a record of the state-of-the-art research and promote the research work in these fast moving areas.
Literary Agents, Harris, Harris & Donahue have the background and knowledge to help writers succeed. We also offer writers career consulting and guidance with public relations matters.
In patients with depression who experience sedation as a side effect of antidepressants, adjunctive modafinil improved wakefulness & reduced fatigue. Modafinil plus SSRIs improved mood & quality of life.
C. Key. Proceedings of the Genetic and Evolutionary
Computation Conference, 2, page 1313--1320. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
L. Coyle, P. Cunningham, and C. Hayes. Advances in Case-Based Reasoning, 6th European Conference, ECCBR
2002 Aberdeen, Scotland, UK, September 4-7, 2002, Proceedings, page 505--518. Springer, (2002)
B. Savarimuthu, and S. Cranefield. Normative Multi-Agent Systems, 09121, Dagstuhl, Germany, Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany, (2009)
B. Savarimuthu, S. Cranefield, M. Purvis, and M. Purvis. Agents and Data Mining Interaction, volume 5980 of Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2010)
B. WEINRAUB, and A. BUSCH. http://ezproxy.library.wwu.edu/login?url=http://proquest.umi.com/pqdweb?did=117880426&Fmt=7&clientId=9320&RQT=309&VName=PQD, (May 2002)
L. Kagal, S. Cost, T. Finin, and Y. Peng. Proceedings of IJCAI-01 Workshop on Autonomy, Delegation and Control, (2001)http://citeseer.nj.nec.com/kagal01framework.html.
A. Rechsteiner, and M. Bedau. Proceedings of the Genetic and Evolutionary
Computation Conference, 2, page 1366--1373. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
A. Faaborg, and H. Lieberman. CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems, page 751--760. New York, NY, USA, ACM, (2006)
A. Faaborg, and H. Lieberman. CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems, page 751--760. New York, NY, USA, ACM Press, (2006)
C. Diuk, A. Strehl, and M. Littman. AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, page 313--319. New York, NY, USA, ACM Press, (2006)
K. Hagen, M. Modsching, and R. Kramer. MOBIQUITOUS '05: Proceedings of the The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, page 293--304. Washington, DC, USA, IEEE Computer Society, (Jul 21, 2005)
K. Hagen, M. Modsching, and R. Kramer. MOBIQUITOUS '05: Proceedings of the The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, page 293--304. Washington, DC, USA, IEEE Computer Society, (2005)
T. Krink, B. Mayoh, and Z. Michalewicz. Proceedings of the Genetic and Evolutionary
Computation Conference, 2, page 1321--1328. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
A. Preece, S. Chalmers, and C. McKenzie. Twenty-sixth SGAI International Conference on Innovative Techniques
and Applications of Artificial Intelligence, Cambridge, UK, (December 2006)In top 6 best refereed papers of the AI 2006 technical stream.
S. Cranefield. Coordination, Organizations, Institutions, and Norms in Multi-Agent Systems, volume 3913 of Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2006)
A. Preece, S. Chalmers, C. McKenzie, J. Pan, and P. Gray. ICEC '06: Proceedings of the 8th international conference on Electronic
commerce, 156, page 151-161. Delta Fredericton, Fredericton, New Brunswick, Canada, ACM Press, (August 2006)
A. Perreau de Pinninck, M. Schorlemmer, C. Sierra, and S. Cranefield. Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems, page 1563-1564. International Foundation for Autonomous Agents and Multiagent Systems, (2010)
C. Iglesias, M. Garrijo, and J. Gonzalez. Proceedings of the 5th International Workshop on Intelligent Agents V : Agent Theories, Architectures, and Languages (ATAL-98), 1555, page 317--330. Springer-Verlag: Heidelberg, Germany, (1999)
J. Günther, E. May, F. Münch, S. Löffler, S. Beck, and E. Hilgendorf. Leroux, Christophe; Labruto, Roberto (Hrsg.): Suggestion for a green paper on legal issues in robotics, euRobotics, The European Robotics Coordination Action., (2012)