Jon Doyle Chirkova, R., Doyle, J., & Reutter, J. (2021). Ensuring Data Readiness for Quality Requirements with Help from Procedure Reuse. ACM JOURNAL OF DATA AND INFORMATION QUALITY, 13(3). https://doi.org/10.1145/3428154 Jiang, J., Chirkova, R., Doyle, J., & Rosenthal, A. (2018). An Expressive, Flexible and Uniform Logical Formalism for Attribute-based Access Control. In L. Jia & C. Morisset (Eds.), Workshop on Foundations of Computer Security (FCS 2018). Retrieved from https://www.andrew.cmu.edu/user/liminjia/events/fcs2018/papers/s21.pdf Jiang, J., Chirkova, R., Doyle, J., & Rosenthal, A. (2018). Poster: Towards Greater Expressiveness, Flexibility, and Uniformity in Access Control. SACMAT'18: PROCEEDINGS OF THE 23RD ACM SYMPOSIUM ON ACCESS CONTROL MODELS & TECHNOLOGIES, pp. 217–219. https://doi.org/10.1145/3205977.3208950 Chirkova, R., Doyle, J., & Reutter, J. L. (2018). The data readiness problem for relational databases. CEUR Workshop Proceedings, 2100. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85048411064&partnerID=MN8TOARS Argenta, C., & Doyle, J. (2017). Discrete multi-agent plan recognition: Recognizing teams, goals, and plans from action sequences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 212–228). https://doi.org/10.1007/978-3-319-53354-4_12 Argenta, C., & Doyle, J. (2017). Probabilistic multi-agent plan recognition as planning (P-Maprap): Recognizing teams, goals, and plans from action sequences. ICAART 2017 - Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2, 575–582. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85068733514&partnerID=MN8TOARS Ajmeri, N., Jiang, J., Chirkova, R., Doyle, J., & Singh, M. P. (2016). Coco: Runtime reasoning about conflicting commitments. IJCAI International Joint Conference on Artificial Intelligence, 2016-January, 17–23. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85006107006&partnerID=MN8TOARS Beam, A. L., Ghosh, S. K., & Doyle, J. (2016). Fast Hamiltonian Monte Carlo Using GPU Computing. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 25(2), 536–548. https://doi.org/10.1080/10618600.2015.1035724 Argenta, C., & Doyle, J. (2016). Multi-agent plan recognition as planning (MAPRAP). ICAART 2016 - Proceedings of the 8th International Conference on Agents and Artificial Intelligence, 2, 141–148. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84969262826&partnerID=MN8TOARS Lauren, B., & Pigg, S. (2016). Toward entrepreneurial pedagogies: rethinking professional networking as knowledge making. 2016 ieee international professional communication conference (ipcc). https://doi.org/10.1109/ipcc.2016.7740535 Beam, A. L., Motsinger-Reif, A. A., & Doyle, J. (2015). An investigation of gene-gene interactions in dose-response studies with Bayesian nonparametrics. BioData Mining, 8(1). https://doi.org/10.1186/s13040-015-0039-3 Alborzi, F., Chirkova, R., Doyle, J., & Fathi, Y. (2015). Determining Query Readiness for Structured Data. In Big Data Analytics and Knowledge Discovery (Vol. 9263, pp. 3–14). https://doi.org/10.1007/978-3-319-22729-0_1 Alborzi, F., Chirkova, R., Doyle, J., & Fathi, Y. (2015). Determining query readiness for structured data. Big data analytics and knowledge discovery, 9263, 3–14. Du, H., Narron, B., Ajmeri, N., Berglund, E., Doyle, J., & Singh, M. P. (2015). Understanding sanction under variable observability in a secure, collaborative environment. Proceedings of the 2015 Symposium and Bootcamp on the Science of Security - HotSoS '15, 21-22-April-2015, 12:1–12:10. https://doi.org/10.1145/2746194.2746206 Beam, A. L., Motsinger-Reif, A., & Doyle, J. (2014). Bayesian neural networks for detecting epistasis in genetic association studies. BMC Bioinformatics, 15(1), 368. https://doi.org/10.1186/s12859-014-0368-0 Doyle, J. (2013). Mechanics and Mental Change. Evolution of Semantic Systems, pp. 127–150. https://doi.org/10.1007/978-3-642-34997-3_7 Doyle, J. (2013). Mechanics and mental change. In Evolution of Semantic Systems (pp. 127–150). https://doi.org/10.1007/978-3-642-34997-3 Wicker, A. W., & Doyle, J. (2012). Leveraging Multiple Mechanisms for Information Propagation. Advanced Agent Technology, pp. 1–2. https://doi.org/10.1007/978-3-642-27216-5_1 Wicker, A. W., & Doyle, J. (2012). Leveraging multiple mechanisms for information propagation. Advanced agent technology, 7068, 1–2. Gopalan, R., Antón, A., & Doyle, J. (2012). UCON LEGAL. Proceedings of the 2nd ACM SIGHIT symposium on International health informatics - IHI '12, 227–236. https://doi.org/10.1145/2110363.2110391 McGeachie, M., & Doyle, J. (2011). The local geometry of multiattribute tradeoff preferences. ARTIFICIAL INTELLIGENCE, 175(7-8), 1122–1152. https://doi.org/10.1016/j.artint.2010.11.014 Doyle, J. (2008). Cognitive mechanics: Natural intelligence beyond biology and computation. AAAI Fall Symposium - Technical Report, FS-08-06, 35–37. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-77952157352&partnerID=MN8TOARS Wicker, A. W., & Doyle, J. (2008). Comparing preferences expressed by cp-networks (extended abstract). AAAI Workshop - Technical Report, WS-08-09, 128–133. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-66149165890&partnerID=MN8TOARS Breaux, T. D., Anton, A. I., & Doyle, J. (2008). Semantic Parameterization: A Process for Modeling Domain Descriptions. ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 18(2). https://doi.org/10.1145/1416563.1416565 Doyle, J., Goldsmith, J., Junker, U., & Lang, J. (2007). AAAI Workshop - Technical Report: Preface. AAAI Workshop - Technical Report, WS-07-10. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-51849090045&partnerID=MN8TOARS Anand, S. S., Bahls, D., Burghart, C. R., Burstein, M., Chen, H., Collins, J., … Wellman, M. (2007). AAAI-07 workshop reports. AI Magazine, 28(4), 119–128. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-39049150323&partnerID=MN8TOARS Wicker, A. W., & Doyle, J. (2007). Interest-matching comparisons using CP-nets. Proceedings of the National Conference on Artificial Intelligence, 2, 1914–1915. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-36348991910&partnerID=MN8TOARS Doyle, J. (2006). Attitudes, outlook, and memory. Extending Mechanics to Minds, pp. 251–275. https://doi.org/10.1017/cbo9780511546952.012 Doyle, J. (2006). Bibliography. Extending Mechanics to Minds, pp. 429–442. https://doi.org/10.1017/cbo9780511546952.023 Doyle, J. (2006). Dynamics. Extending Mechanics to Minds, pp. 135–172. https://doi.org/10.1017/cbo9780511546952.008 Doyle, J. (2006). Effectiveness. Extending Mechanics to Minds, pp. 392–398. https://doi.org/10.1017/cbo9780511546952.019 Doyle, J. (2006). Extending Mechanics to Minds. In Extending Mechanics to Minds: The Mechanical Foundations of Psychology and Economics (Vol. 9780521861977, pp. 1–453). https://doi.org/10.1017/cbo9780511546952 Doyle, J. (2006). Extending mechanics to minds: The mechanical foundations of psychology and economics. Cambridge; New York: Cambridge University Press. Doyle, J. (2006). Finitism. Extending Mechanics to Minds, pp. 399–404. https://doi.org/10.1017/cbo9780511546952.020 Doyle, J. (2006). Kinematics. Extending Mechanics to Minds, pp. 88–134. https://doi.org/10.1017/cbo9780511546952.007 Doyle, J. (2006). Learning. Extending Mechanics to Minds, pp. 326–345. https://doi.org/10.1017/cbo9780511546952.015 Doyle, J. (2006). Materialism. 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Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-2442596050&partnerID=MN8TOARS Doyle, J. (2004, May). Prospects for preferences. COMPUTATIONAL INTELLIGENCE, Vol. 20, pp. 111–136. https://doi.org/10.1111/j.0824-7935.2004.00233.x McGeachie, M., & Doyle, J. (2004, May). Utility functions for ceteris paribus preferences. COMPUTATIONAL INTELLIGENCE, Vol. 20, pp. 158–217. https://doi.org/10.1111/j.0824-7935.2004.00235.x Long, W. J., Doyle, J., Burke, G., & Szolovits, P. (2003).