The duraticn of the neuro'ogical signs is 7.2 hours.

To perform these diagnoses, DART must frequently determine how the hardware's primary inputs can be manipulated to produce desired test conditions at internal nodes. Especially when the system's behavior is time-dependent, this reasoning must be carefully controlled, or a combinatorial explosion may result. This paper contrasts two techniques for representing time-dependent digital system behavior and controlling reasoning to achieve desired hardware states. 2

Table 1: Measured comparison of three control strategies.

These paradigms include 1) clinical algorithms, 2) statistical analysis of collections of patient data, 3) mathematical models of physical processes, 4) decision analysis.

Each proceeds by an asynchronous, concurrent message communication protocol was described within Palladio passing between nodes. A node in the grid is composed of by an associated behavior defined for the communication a communication chip and a local processor with local chip. The behavior was expressed from a circuitspecific behavioral perspective based on the concept of message passing.

This paper describes ROGET, a knowledge-based system that'assists a domain expert with several tasks system's encountered during the early phases of expert-system construction.

This article reviews the strengths and limitations of five major paradigms of medical computer-assisted decision making (CAOM): 1) clinical algorithms.

Georgeff's controlled production systems 65 8.3.3

Diane Warner Hasling Heuristic Programming Project Computer Science Department Stanford University Stanford, CA 94305 stra:cgre explanation we want to generate.

This paper reports the results obtained with a group of 24 14-year-old pupils when presented with sets of algebra tasks by the Leeds Modelling System.