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Jasmina Pavlin

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AAAI Conference 1984 Conference Paper

Selective Abstraction of Al System Activity

  • Jasmina Pavlin

The need for presenting useful descriptions of problem solving activities has grown with the size and complexity of contemporary AI systems. Simply tracing and explaining the activities that led to a solution is no longer satisfactory. We describe a domain-independent approach for selectively abstracting the chronological history of problem solving activity (a system trace) based upon usersupplied abstraction goals. An important characteristic of our approach is that, given different abstraction goals, abstracted traces with significantly different emphases can be generated from the same original trace. Although we are not concerned here with the generation of an explanation from the abstracted trace, this approach is a useful step towards such an explanation facility.

AAAI Conference 1983 Conference Paper

Predicting the Performance of Distributed Knowledge-Based Systems: A Modeling Approach

  • Jasmina Pavlin

A model of a distributed knowledge-based system is presented. The model captures the features specific to those systems, such as alternative paths to the solution, utilization of inexact and/or incomplete knowledge and data, dynamic task creation, complex subproblem dependencies and focusing aspect of problem solving. The model is applied to the analysis of communication policies in a distributed interpretation system. The result of the analysis is the best policy for the given environment and system conditions. Another use of the model as a real-time simulation tool is suggested.