Conversational Case-Based Reasoning (CCBR) provides a mixed-initiative dialog for guiding users to refine their problem descriptions incrementally through a question-answering seq...
This paper outlines a symbolic computational theory for recognizing variable spatial environments-The Theory of Cognitive Prism, (Dong 2005). This theory defines distance and orie...
Learning tasks from a single demonstration presents a significant challenge because the observed sequence is inherently an incomplete representation of the procedure that is speci...
Hyuckchul Jung, James F. Allen, Nathanael Chambers...
The inherent vagueness and ambiguity of non-monotonic reasoning makes it impossible to formulate detailed specifications to validate KBS performance by using traditional test-case...
The world wide web has a wealth of information that is related to almost any text classification task. This paper presents a method for mining the web to improve text classificati...
This paper describes the design and execution of a roboticsthemed AI elective at a small liberal arts institution. An important goal of the course is to spark and nurture students...
Standard MIDI files contain data that can be considered as a symbolic representation of music (a digital score), and most of them are structured as a number of tracks, one of them...
In this paper, we report on experiments with a software multi-agent electronic market where intelligent behaviors are due to both agents internal capabilities and advanced mechani...
Autonomous robots, such as automatic vacuum cleaners, toy robot dogs, and autonomous vehicles for the military, are rapidly becoming a part of everyday life. As a result the need ...
Because many real-world problems can be represented and solved as constraint satisfaction problems, the development of effective, efficient constraint solvers is important. A solv...