A speech controlled animation system is both a useful application program as well as a laboratory in which to investigate context aware applications as well as controlling errors. The user need not have prior knowledge or experience in animation and…

We examine a knowledge representation architecture to support context interchange
mediation. For autonomous receivers and sources sharing a common subject domain,
the mediator's reasoning engine can devise query plans integrating multiple sources and
resolving semantic heterogeneity. Receiver…

D. Eleanor Westney., Cover title. "Paper prepared for JAIMS conference on 'International Comparative Study of Knowledge Creation', Hawaii, December 12-14, 1996"--Added t.p. "February 1997.", Includes bibliographical references (p. 31-34).

Fish disease diagnosis is a complicated process and requires high level of expertise, an expert system for fish disease diagnosis is considered as an effective tool to help fish farmers. However, many farmers have no computers and are not able…

The development of systems with the ability to reason about change notion and actions has been of great importance for the artificial intelligence community. The definition and implementation of systems capable of managing defeasible, incomplete, unreliable, or uncertain information has…

Andreas Gast, Donald R. Lessard., "Presented at the 1997 SMS Conference in Barcelona, Spain.", Includes bibliographical references (p. 28-32).

The goal of the work reported here is to capture the commonsense knowledge of non-expert human contributors. Achieving this goal will enable more intelligent human-computer interfaces and pave the way for computers to reason about our world. In the domain…

David N. Ford and John D. Sterman., Includes bibliographical references (p. 24-25)., Supported by the Python organization, the Organizational Learning Center and the System Dynamics Group at the MIT Sloan School of Management.

by Tracy S. Myers, Robert M. Freund, and Gordon M. Kaufman., Cover title., Includes bibliographical references (p. 43-45).

Data quality issues have taken on increasing importance in recent years. In our research, we have discovered that many “data quality” problems are actually “data misinterpretation” problems – that is, problems with data semantics. In this paper, we first illustrate…