research.html

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<head>
        <title>Mark Orr, PhD</title>
</head>

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        <h1>Research</h1>
        <h2>Questions. No Answers. </h2>
        <h3>On Useful Benchmark-ing</h3>
        <p>
                Is the ARC AGI challenge a useful challenge for human cognitive architectures? Should the cognitive
                architecture community join the fray? At face value, the ARC competition seems about right. Humans can
                do it; SOTA AI can't.

                If no, then can we develop a more relevant challenge?  Is cultural scaffolding necessary for human-like intelligence?  Is language?  Can we build a benchmark-like thing for animal cognition and what AI would solve it?
        </p>

        <h2>CV</h2>
        <p>
                <li><a href="http://mark-orr.github.io/foo.txt/ORR_CV_Latest.pdf" title="Curriculum Vitae">CV</a></li>
        </p>

        <h2>Work</h2>
        <h3>Recent</h3>

        
        <ul>
                <li>
                        Orr, M., Cranford, D., Ford, K., Gluck, K., Hancock, W., Lebiere, C. Pirolli, P., Ritter, F., Stocco, A. (2025). 
                        Not Even Wrong: On the Limits of Prediction as Explanation in Cognitive Science. 
                        arXiv preprint (cs.AI). https://arxiv.org/abs/2510.03311
                        <br /> [<a href="http://mark-orr.github.io/foo.txt/Centaur-IHMCandCO-Response-Final_Arxiv.pdf">paper</a>]
                </li>
        </ul>
        
        
        <ul>
                <li>
                        Orr, M. & Teti, E., Bura, A. Mortveit, H. (2025). Theoretical Note: The relation between
                        structure and dynamics in psychological networks of attitudes. arXiv preprint (q-bio.NC).
                        https://arxiv.org/abs/2509.14418
                        <br /> [<a href="http://mark-orr.github.io/foo.txt/2509.14418v1.pdf">paper</a>]
                </li>
        </ul>

        <ul>
                <li>
                        Orr, M. (2025). On Optimality and Human Prediction of Event Duration in Real-Time, Real-World
                        Contexts. arXiv preprint (cs.HC). https://arxiv.org/abs/2509.14482
                        <br /> [<a href="http://mark-orr.github.io/foo.txt/2509.14482v1.pdf">paper</a>]
                </li>
        </ul>


        <ul>
                <li>
                        Mitsopoulos K, Baker L, Lebiere C, Pirolli P, Orr M and Vardavas R (2025) Cognitively-plausible
                        reinforcement learning in epidemiological agent-based simulations. Front. Epidemi-ol. 5:1563731.
                        doi: 10.3389/fepid.2025.156373
                        <br /> [<a
                                href="http://mark-orr.github.io/foo.txt/Mitsopoulos-et-al-2025-Cognitively-plausible-reinforcement-learning.pdf">paper</a>]
                </li>
        </ul>

        <ul>
                <li>
                        Teng CM, Pirolli P, Bhatia A, Carley K, Dorr B, Lebiere C, Mather B, Mitsopoulos K, Morrison D,
                        Orr M and Strzalkowski T (2025) Prediction of U.S. daily mask wearing and social dis-tancing
                        using psychologically valid agents during three waves of COVID-19. Front. Epidemi-ol. 5:1532553.
                        doi: 10.3389/fepid.2025.1532553
                        <br /> [<a
                                href="http://mark-orr.github.io/foo.txt/Teng-et-al-2025-Prediction-psychologically-valid-agents.pdf">paper</a>]
                </li>
        </ul>

        <ul>
                 <li>
                        Lebiere, C., Thomson, R., Stocco, A., Orr, M., Morrison, D. (2025).  An architectural approach to metacognition.  
                        In (Eds.) Shakarian, P., Wei, H.  Metacognitive Artifical Intelligence. Cam-bridge U. Press.
                        <br /> [<a
                                href="http://mark-orr.github.io/foo.txt/Metacognitive_AI_Cognitive_Architecture_Chapter_Publisher.pdf">paper</a>]
                </li>
        </ul>

        <h3>Older Select</h3>


        <ul>
                <li>
                        Orr, M., Lebiere, C., Pirolli, P., Morrison (2024). A comparison of two memory models of
                        atti-tude retrieval. Proceedings of the Cognitive Science Society.
                        <br /> [<a
                                href="http://mark-orr.github.io/foo.txt/AttitudeModelingCogSciOrrCamReady.pdf">paper</a>]
                </li>
        </ul>

        <ul>
                <li>
                        Orr, M., Lebiere, C., Pirolli, P., Morrison (2024). A comparison of frequency effects in two
                        atti-tude retrieval models. International Conference on Cognitive Modeling Proceedings.
                        <br /> [<a href="http://mark-orr.github.io/foo.txt/ICCM_2024_Orr-Final.pdf">paper</a>]
                </li>
        </ul>

        <ul>
                <li>
                        Orr, M. G., Ziemer, K., Chen, D. (2017). Systems of behavior and population health. In Galea, S.
                        & El-Sayed, A. (Eds.), Systems Science and Population Health. Oxford University Press: Oxford,
                        UK.
                        <br /> [<a
                                href="http://mark-orr.github.io/foo.txt/Orretal2017-Systems-of-BehaviorPopulationHealth.pdf">paper</a>]
                </li>
        </ul>

        <ul>
                <li>
                        Orr, M., Stocco. A., Lebiere, C. Morrison, D. (2021). Attitudinal polarization on social
                        networks: A cognitive architecture perspective. In Stewart, T. C. (Ed.). Proceedings of the 19th
                        International Conference on Cognitive Modelling (pp. tbd). University Park, PA: Applied
                        Cognitive Science Lab, Penn State.
                        <br /> [<a
                                href="http://mark-orr.github.io/foo.txt/Orr-et-al-Attitudinal-PolarizationSocialNetworkCognitiveArchitecture.pdf">paper</a>]
                </li>
        </ul>

        <ul>
                <li>
                        Pires, B., Jimenez, J., Molfino, E., Schaefer, K., Goldstein, J., Orr, M. (2023). Knowledge
                        Sharing in a Dynamic, Multi-level Organization: An Agent-Based Modeling Approach. Computational
                        and Mathematical Organization Theory. February 10. Available from:
                        https://doi.org/10.1007/s10588-023- 09373-8
                        <br /> [<a
                                href="http://mark-orr.github.io/foo.txt/Pires-et-al2024Knowledge-sharing.pdf">paper</a>]
                </li>
        </ul>

        <ul>
                <li>
                        Orr, M. G., Lebiere, C., Stocco, A., Pirolli, P., Pires, B., Kennedy, W. G. (2019). Multi-Scale
                        Resolution of Neural, Cognitive and Social Systems. Computational and Mathematical Organization
                        Theory, 25, 4–23
                        <br /> [<a
                                href="http://mark-orr.github.io/foo.txt/Orr-et-al2019Multi-scale-resolution.pdf">paper</a>]
                </li>
        </ul>

        <ul>
                <li>
                        Orr, M., Morteit, H., Lebiere, C., Pirolli, P. (2023). A prospectus for the integration of
                        cognitive architectures and mathematical epidemiology. Front. Psychol., Vol. 14.
                        https://www.frontiersin.org/articles/10.3389/fpsyg.2023.986289
                        <br /> [<a
                                href="http://mark-orr.github.io/foo.txt/Orr-et-al2023-10-year-prospectus.pdf">paper</a>]
                </li>
        </ul>

        <ul>
                <li>
                        Orr. M. G., & Plaut, D. C. (2014). Complex systems and health behavior change: Insights from
                        cognitive science. American Journal of Health Behavior, 38(3), 404-413
                        <br /> [<a href="http://mark-orr.github.io/foo.txt/OrrPlaut_AmJHB_2014.pdf">paper</a>]
                </li>
        </ul>

        <ul>
                <li>
                        Orr, M. G. & Evans, C. (2011). Understanding long-term diffusion dynamics in the prevalence of
                        adolescent sexual initiation: A first investigation using agent-based modeling. Research In
                        Human Development. 8(1), 48-66.
                        <br /> [<a href="http://mark-orr.github.io/foo.txt/OrrEvans2011_ABM.pdf">paper</a>]
                </li>
        </ul>

        <ul>
                <li>
                        Orr, M. G., & Merrill, J. A. (2013). Diffusion of innovation across a national local health
                        department network: A simulation approach to policy development using agent-based modeling,
                        Frontiers in Public Health Services and Systems Research, 2(5), Article #3:
                        http://uknowledge.uky.edu/frontiersinphssr/vol2/iss5/3
                        <br /> [<a href="http://mark-orr.github.io/foo.txt/OrrMerrill_Frontiers2013.pdf">paper</a>]
                </li>
        </ul>

        <ul>
                <li>
                        MORE COMING SOON
                        <br /> [<a href="http://mark-orr.github.io/foo.txt/">paper</a>]
                </li>
        </ul>

        <h3>Others'</h3>

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