Bayesian belief networks have grown to prominence because they provide compact representations of many domains, and there are algorithms to exploit this compactness. The next step...
Unfailing completion is a commonly used technique for equational reasoning. For equational problems with associative and commutative functions, unfailing completion often generate...
The creation of a complex web site is a thorny problem in user interface design. First, di erent visitors have distinct goals. Second, even a single visitor may have di erent need...
The paper addresses the concept of cognition starting from the role of a sensor basis in the design of robots. The field of robotics forces the discussion to be pragmatic which is...
The New Millennium Remote Agent (NMRA) will be the rst on-board AI system to control an actual spacecraft. The spacecraft domain raises a number of challenges for planning and exe...
Barney Pell, Erann Gat, Ron Keesing, Nicola Muscet...
Understanding three simultaneous speeches is proposed as a challenge problem to foster artificial intelligence, speech and sound understanding or recognition, and computational au...
Hiroshi G. Okuno, Tomohiro Nakatani, Takeshi Kawab...
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
This paper presents a technique, called GENH, that automatically generates search heuristics for scheduling problems. The impetus for developing this technique is the growing cons...
Robert A. Morris, John L. Bresina, Stuart M. Rodge...
In the paper, we consider the problem of supporting automated reasoning in a large class of knowledge representation formalisms, including terminological and epistemic logics, who...