Abstract
In the same sense as proofs are more that just the fact of provability, models provide more information than that of satisfiability. Therefore the discipline of automated model building can be considered as a “logical” continuation of the enterprise to investigate theorem provers as decision procedures. So the main theme of this book is the analysis and the increase of semantic information generated by computational inference systems.
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© 2004 Springer Science+Business Media Dordrecht
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Caferra, R., Leitsch, A., Peltier, N. (2004). Conclusion. In: Automated Model Building. Applied Logic Series, vol 31. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-2653-9_7
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DOI: https://doi.org/10.1007/978-1-4020-2653-9_7
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-6696-1
Online ISBN: 978-1-4020-2653-9
eBook Packages: Springer Book Archive