Abstract
This paper presents an implementation of a general framework for consistency-based belief change using Answer Set Programming (ASP). We describe Equibel, a software system for working with belief change operations on arbitrary graph topologies. The system has an ASP component that performs a core maximization procedure, and a Python component that performs additional processing on the output of the ASP solver. The Python component also provides an interactive interface that allows users to create a graph, set formulas at nodes, perform belief change operations, and query the resulting graph.
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Financial support was gratefully received from the Natural Sciences and Engineering Research Council of Canada.
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Vicol, P., Delgrande, J., Schaub, T. (2015). An Implementation of Consistency-Based Multi-agent Belief Change Using ASP. In: Calimeri, F., Ianni, G., Truszczynski, M. (eds) Logic Programming and Nonmonotonic Reasoning. LPNMR 2015. Lecture Notes in Computer Science(), vol 9345. Springer, Cham. https://doi.org/10.1007/978-3-319-23264-5_40
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DOI: https://doi.org/10.1007/978-3-319-23264-5_40
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