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Learning specifications of interaction protocols and business processes and proving their properties.

, , , , and . Intelligenza Artificiale, 5 (1): 71-75 (2011)

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Modularity in Logic Programming., , and . J. Log. Program., (1994)Studying Transaction Fees in the Bitcoin Blockchain with Probabilistic Logic Programming., , and . Inf., 10 (11): 335 (2019)Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients., , , , and . Medical Biol. Eng. Comput., 60 (12): 3461-3474 (2022)Exploiting CNN's visual explanations to drive anomaly detection., , , and . Appl. Intell., 54 (1): 414-427 (January 2024)An Optimized Implementation of a Dynamic Modular Logic Language., , and . Software - Concepts and Tools, 17 (4): 148-162 (1996)Interpreting Abduction in CLP., , , , and . APPIA-GULP-PRODE, page 25-35. (2003)Interactive Constraint Satisfaction and its Application to Visual Object Recognition., , , , and . APPIA-GULP-PRODE, page 57-70. (1998)Normal Logic Programs as Open Positive Programs., , , and . JICSLP, page 783-797. MIT Press, (1992)Expressing Collaborative and Competitive Coordination among Abductive., , , and . CL-2000 Workshop on Computational Logic in Multi-Agent Systems, page 35-43. (2000)Combining Solvers in a Meta Constraint Logic Programming Architecture., , and . FroCoS, volume 3 of Applied Logic Series, page 267-283. Kluwer Academic Publishers, (1996)