of Daniel Gall

Articles in journal, book chapters

  1. Thom Frühwirth and Daniel Gall. Exploring Parallel Execution Strategies for Constraint Handling Rules-Work-in-Progress Report. arXiv preprint arXiv:1808.07788, 2018.
  2. Daniel Gall. Confluence Analysis of Cognitive Models with Constraint Handling Rules. 2018.
  3. Daniel Gall and Thom Frühwirth. Translation of Cognitive Models from ACT-R to Constraint Handling Rules, pages 223-237. Springer International Publishing, 2016. [doi:10.1007/978-3-319-42019-6_15]
  4. Daniel Gall and Thom Frühwirth. A Formal Semantics for the Cognitive Architecture ACT-R, pages 74-91. Springer International Publishing, Cham, 2015. ISBN: 978-3-319-17822-6. [WWW] [doi:10.1007/978-3-319-17822-6_5]
  5. Daniel Gall and Thom Frühwirth. Exchanging Conflict Resolution in an Adaptable Implementation of ACT-R. Theory and Practice of Logic Programming, 14:525-538, 7 2014. ISSN: 1475-3081. [WWW] [doi:10.1017/S1471068414000180]

Conference articles

  1. Daniel Gall and Thom Frühwirth. Confluence modulo equivalence with invariants in constraint handling rules. In International Symposium on Functional and Logic Programming, pages 116-131, 2018. Springer.
  2. Daniel Gall and Thom Frühwirth. A Decidable Confluence Test for Cognitive Models in ACT-R. In International Joint Conference on Rules and Reasoning (RuleML+RR 2017), July 2017.
  3. Nada Sharaf, Slim Abdennadher, Thom Frühwirth, and Daniel Gall. Animating Cognitive Models and Architectures: A Rule-Based Approach. In Christoph Benzmerb=uller, Geoff Sutcliffe, and Raul Rojas, editors, GCAI 2016. 2nd Global Conference on Artificial Intelligence, volume 41 of EPiC Series in Computing, pages 253-265, 2016. EasyChair. ISSN: 2398-7340.
  4. Daniel Gall and Thom Frühwirth. A refined operational semantics for ACT-R: investigating the relations between different ACT-R formalizations. In Proceedings of the 17th International Symposium on Principles and Practice of Declarative Programming, pages 114-124, 2015. ACM.
  5. Daniel Gall and Thom Frühwirth. An adaptable implementation of ACT-R with refraction in Constraint Handling Rules. In Proceedings of the 13th International Conference on Cognitive Modeling, pages 61-66, 2015.