Abstract
Reasoning about Action and Change (RAC) and Answer Set Programming (ASP) are two well-known fields in AI for logic-based reasoning. Each paradigm bears unique features and a possible integration can lead to more effective ways to address hard AI problems. In this paper, we report on implementations that embed RAC formalisms and concepts in ASP and present the experimental results obtained, building on a graph-based problem setting that introduces casual and temporal requirements.
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Gouidis, F., Patkos, T., Flouris, G., Plexousakis, D. (2014). Declarative Reasoning Approaches for Agent Coordination. In: Likas, A., Blekas, K., Kalles, D. (eds) Artificial Intelligence: Methods and Applications. SETN 2014. Lecture Notes in Computer Science(), vol 8445. Springer, Cham. https://doi.org/10.1007/978-3-319-07064-3_42
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DOI: https://doi.org/10.1007/978-3-319-07064-3_42
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07063-6
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