Department of Computer Science
 
bryson_joanna

Reader

1 West 3.60

Dept of Computer Science

Email: j.j.bryson@bath.ac.uk

Tel: +44 (0) 1225 38 3934

 

Dr Joanna Bryson

Profile

Research interests

Primary research interest: Using Artificial Intelligence to understand Natural Intelligence. Secondary interests: Agent-based modelling of animal societies & cultural evolution, modular models of individual intelligence, AI development methodologies, action selection and dynamic planning, intelligent and cognitive systems (e.g. intelligent environments, artificial companions, game characters), AI & Society. Hobbies include political science, neuroscience and music.

Publications

Wortham, R. H., Theodorou, A. and Bryson, J. J., 2017. Improving robot transparency:real-time visualisation of robot AI substantially improves understanding in naive observers. In: IEEE RO-MAN 2017, 2017-08-28 - 2017-09-01, Pestana Palace Hotel.

Bryson, J. J. and Rauwolf, P., 2017. Forthcoming. Expectations of Fairness and Trust Coevolve Because of Partial Information. Dynamic Games and Applications

Bryson, J. J., Diamantis, M. E. and Grant, T. D., 2017. Forthcoming. Of, For, and By the People:The Legal Lacuna of Synthetic Persons. Artificial Intelligence and Law

Wortham, R. H., Theodorou, A. and Bryson, J. J., 2017. Robot transparency:Improving understanding of intelligent behaviour for designers and users. In: Gao, Y., Fallah, S., Jin, Y. and Lakakou, C., eds. Towards Autonomous Robotic Systems: 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017. Berlin: Springer, pp. 274-289.

Wortham, R. H., Theodorou, A. and Bryson, J. J., 2017. Robot transparency:improving understanding of intelligent behaviour for designers and users. In: TAROS 2017, 2017-07-19 - 2017-07-21, University of Surrey.

Theodorou, A., Wortham, R. H. and Bryson, J. J., 2017. Designing and implementing transparency for real time inspection of autonomous robots. Connection Science, 29 (3), pp. 230-241.

Bryson, J. J. and Winfield, A., 2017. Standardizing Ethical Design for Artificial Intelligence and Autonomous Systems. Computer, 50 (5), 116 - 119.

Caliskan, A., Bryson, J. J. and Narayanan, A., 2017. Semantics derived automatically from language corpora contain human-like biases. Science, 356 (6334), pp. 183-186.

Bryson, J. J., 2017. The meaning of the EPSRC principles of robotics. Connection Science, 29 (2), pp. 130-136.

Boden, M., Bryson, J., Caldwell, D., Dautenhahn, K., Edwards, L., Kember, S., Newman, P., Parry, V., Pegman, G., Rodden, T., Sorrell, T., Wallis, M., Whitby, B. and Winfield, A., 2017. Principles of robotics:regulating robots in the real world. Connection Science, 29 (2), pp. 124-129.

Wortham, R. H. and Bryson, J. J., 2016. A role for action selection in consciousness:an investigation of a second-order Darwinian mind. CEUR Workshop Proceedings, 1855, pp. 25-30.

Amato, C., Amir, O., Bryson, J., Grosz, B., Indurkhya, B., Kiciman, E., Kido, T., Lawless, W. F., Liu, M., McDorman, B., Mead, R., Oliehoek, F. A., Specian, A., Stojanov, G. and Takadama, K., 2016. Reports of the aaai 2016 Spring Symposium Series. Z Magazine, 37 (4), pp. 83-88.

Mitchell, D., Bryson, J. J., Rauwolf, P. and Ingram, G., 2016. On the reliability of unreliable information:Gossip as cultural memory. Interaction Studies, 17 (1), pp. 1-25.

Bryson, J. J. and Rauwolf, P., 2016. Trust, Communication, and Inequality.

Wortham, R. H., Gaudl, S. and Bryson, J. J., 2016. Instinct:a biologically inspired reactive planner for embedded environments. In: ICAPS PlanRob Workshop 2016, 2016-06-13 - 2016-06-14, Kings College London.

Wortham, R. H., Theodorou, A. and Bryson, J. J., 2016. What Does the Robot Think? Transparency as a Fundamental Design Requirement for Intelligent Systems. In: IJCAI 2016 Ethics for AI Workshop, 2016-07-09 - 2016-07-09, New York Hilton Hotel.

Wortham, R. H., Theodorou, A. and Bryson, J. J., 2016. Robot Transparency, Trust and Utility. In: AISB Workshop on Principles of Robotics, 2016-04-04 - 2016-04-04, University of Sheffield.

Theodorou, A., Wortham, R. H. and Bryson, J. J., 2016. Why is my robot behaving like that? Designing transparency for real time inspection of autonomous robots. In: AISB Workshop on Principles of Robotics, 2016-04-04 - 2016-04-04, University of Sheffield.

Bryson, J. J., 2016. Simulation and the evolution of thought. In: Groes, S., ed. Memory in the Twenty-First Century. Palgrave Macmillan, pp. 205-207.

Bryson, J. J., 2016. The confabulation of self. In: Groes, S., ed. Memory in the Twenty-First Century. Palgrave Macmillan, pp. 334-337.

Bryson, J., 2015. Artificial intelligence and pro-social behaviour. In: Misselhorn, C., ed. Collective Agency and Cooperation in Natural and Artificial Systems. Berlin: Springer, pp. 281-306.

Bryson, J. J., 2015. Intelligence in the Flesh: Why Your Mind Needs Your Body Much More than It Thinks, by Guy Claxton. The Times Higher Education

Gaudl, S., Osborn, J. and Bryson, J., 2015. Learning from Play:Facilitating character design through genetic programming and human mimicry. In: 17th Portuguese Conference on Artificial Intelligence (EPIA-2015), 2015-09-08 - 2015-09-11, University of Coimbra.

Wang, Y., Lan, Y., Weinreich, D., Priest, N. and Bryson, J., 2015. Recombination Is Surprisingly Constructive for Artificial Gene Regulatory Networks in the Context of Selection for Developmental Stability. In: The 13th European Conference on Artificial Life, 2015-07-20 - 2015-07-24.

Rauwolf, P., Mitchell, D. and Bryson, J., 2015. Value Homophily Benefits Cooperation but Motivates Employing Incorrect Social Information. Journal of Theoretical Biology, 367, pp. 246-261.

Bryson, J., 2015. Artificial intelligence: can scientists stop ‘negative’ outcomes? [Non-academic press]

Huang, B., Li, M., De Souza, R. L., Bryson, J. J. and Billard, A., 2015. A modular approach to learning manipulation strategies from human demonstration. Autonomous Robots, 40 (5), pp. 1-25.

Novikova, J., Watts, L. and Bryson, J. J., 2014. The role of emotions in inter-action selection. Interaction Studies, 15 (2), pp. 216-223.

Wang, Y., Matthews, S. and Bryson, J. J., 2014. Evolving Evolvability in the Context of Environmental Change: A Gene Regulatory Network (GRN) Approach. In: The 14th International Conference on the Synthesis and Simulation of Living Systems, 2014-07-30 - 2014-08-02, Javits Center.

Taylor, D. and Bryson, J.J., 2014. Replicators, lineages, and interactors. Behavioral and Brain Sciences, 37 (3), pp. 276-277.

Gunkel, D.J. and Bryson, J., 2014. Introduction to the special issue on machine morality:The machine as moral agent and patient. Philosophy & Technology, 27 (1), pp. 5-8.

Novikova, J., Gaudl, S. and Bryson, J., 2014. Emotionally driven robot control architecture for human-robot interaction. In: Natraj, A., Cameron, S., Melhuish, C. and Witkowski, M., eds. Towards Autonomous Robotic Systems. Berlin, Germany: Springer, pp. 261-263.

Gaudl, S. E. and Bryson, J. J., 2014. Extended ramp goal module:Low-cost behaviour arbitration for real-time controllers based on biological models of dopamine cells. In: 2014 IEEE Conference on Computational Intelligence and Games, CIG 2014, 2014-08-26 - 2014-08-29. IEEE Computer Society Press.

Bann, E. Y. and Bryson, J. J., 2014. The conceptualisation of emotion qualia:semantic clustering of emotional tweets. In: Mayor, J. and Gomez, P., eds. NCPW 13 Neural Computation and Psychology Workshop, 2012-07-12 - 2012-07-14. Singapore, Singapore: World Scientific, pp. 249-263.

Bryson, J. J., Mitchell, J., Powers, S. T. and Sylwester, K., 2014. Understanding and addressing cultural variation in costly antisocial punishment. In: Gibson, M. A. and Lawson, D. W., eds. Applied Evolutionary Anthropology. London, U. K.: Springer, pp. 201-222.

Sylwester, K., Herrmann, B. and Bryson, J., 2013. Homo homini lupus? Explaining antisocial punishment. Journal of Neuroscience, Psychology, and Economics, 6 (3), pp. 167-188.

Bann, E. Y. and Bryson, J. J., 2013. Measuring cultural relativity of emotional valence and arousal using semantic clustering and Twitter. In: CogSci 2013: The 35th Annual Meeting of the Cognitive Science Society, 2013-07-30 - 2013-08-02. Cognitive Science Society, pp. 1809-1814.

Gaudl, S., Davies, S. and Bryson, J. J., 2013. Behaviour oriented design for real-time-strategy games: An approach on iterative development for STARCRAFT AI. In: Foundations of Digital Games 2013, 2013-05-14 - 2013-05-17. Foundations of Digital Games, pp. 198-205.

Huang, B., El-Khoury, S., Li, M., Bryson, J. J. and Billard, A., 2013. Learning a real time grasping strategy.

Huang, B., Bryson, J. J. and Inamura, T., 2013. Learning motion primitives of object manipulation using Mimesis Model. In: 2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013, 2013-12-12 - 2013-12-14. IEEE, pp. 1144-1150.

Seth, A. K. and Bryson, J. J., 2013. Natural action selection, modeling. In: Pashler, H., ed. Encyclopedia of the mind. Thousand Oaks, CA: Sage.

Bryson, J.J., 2012. A role for consciousness in action selection. International Journal of Machine Consciousness, 4 (2), pp. 471-482.

Powers, S.T., Taylor, D. J. and Bryson, J. J., 2012. Punishment can promote defection in group-structured populations. Journal of Theoretical Biology, 311, pp. 107-116.

Whitehouse, H., Kahn, K., Hochberg, M. E. and Bryson, J. J., 2012. From the imaginary to the real:The back and forth between reality and simulation. Religion, Brain & Behavior, 2 (3), pp. 219-224.

Bryson, J.J., 2012. Internet memory and life after death. Bereavement Care, 31 (2), pp. 70-72.

Gemrot, J., Brom, C., Bída, M. and Bryson, J., 2012. How to compare usability of techniques for the specification of virtual agents' behavior?:An experimental pilot study with human subjects. In: Agents for Educational Games and Simulations International Workshop, AEGS 2011, Taipei, Taiwan, May 2, 2011. Revised Papers.Vol. 7471 LNAI. Berlin: Springer, pp. 38-62.

Bryson, J. J., 2012. Patiency is not a virtue:suggestions for co-constructing an ethical framework including intelligent artefacts. In: Gunkel, D. J., Bryson, J. J. and Torrance, S., eds. The machine question. Society for the Study of Artificial Intelligence and the Simulation of Behaviour, pp. 73-77.

Bryson, J. J., 2012. Structuring intelligence: the role of hierarchy, modularity and learning in generating intelligent behaviour. In: McFarland, D., Stenning, K. and McGonigle-Chalmers, M., eds. The complex mind. Basingstoke: Palgrave Macmillan, pp. 126-143.

Whitehouse, H., Kahn, K., Hochberg, M. E. and Bryson, J. J., 2012. The role for simulations in theory construction for the social sciences:Case studies concerning Divergent Modes of Religiosity. Religion, Brain & Behavior, 2 (3), pp. 182-201.

Seth, A. K., Prescott, T. J. and Bryson, J. J., eds., 2011. Modelling Natural Action Selection. Cambridge University Press.

Gluckman, G. M. and Bryson, J. J., 2011. An agent-based model of the effects of a primate social structure on the speed of natural selection. In: Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication. New York: Association for Computing Machinery (ACM), pp. 535-542.

Bryson, J. J. and Kime, P. P., 2011. Just an artifact: Why machines are perceived as moral agents. In: Proceedings of the 22nd International Joint Conference on Artificial Intelligence, 2011-07-16 - 2011-07-22, Barcelona, Catalonia.

Gemrot, J., Brom, C., Bryson, J. J. and Bída, M., 2011. How to compare usability of techniques for the specification of virtual agents behavior? An experimental pilot study with human subjects. In: Proceedings of the AAMAS 2011 Workshop on the uses of Agents for Education, Games and Simulations, 2011-05-02 - 2011-05-03.

Bryson, J. J., 2011. A role for consciousness in action selection. In: Proceedings of the AISB 2011 Symposium: Machine Consciousness, 2011-04-06 - 2011-04-07.

Grey, J. and Bryson, J. J., 2011. Procedural quests: A focus for agent interaction in role-playing-games. In: Proceedings of the AISB 2011 Symposium: AI & Games, 2011-04-06 - 2011-04-07.

Bryson, J., 2011. AI robots should not be considered moral agents. In: Berlatsky, N., ed. Artificial Intelligence. Detroit: Greenhaven Press.

Bryson, J. J. and Kime, P. P., 2011. Just an artifact:why machines are perceived as moral agents. In: Walsh, T., ed. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence.Vol. 2. Menlo Park, CA, USA: AAAI Press, pp. 1641-1646.

Rohlfshagen, P. and Bryson, J. J., 2010. Flexible latching: a biologically-inspired mechanism for improving the management of homeostatic goals. Cognitive Computation, 2 (3), pp. 230-241.

Bryson, J. J. and Tanguy, E. A. R., 2010. Simplifying the design of human-like behaviour:Emotions as durative dynamic state for action selection. International Journal of Synthetic Emotions, 1 (1), pp. 30-50.

Bryson, J. J., 2010. Cultural ratcheting results primarily from semantic compression. In: The Evolution of Language: Proceedings of the 8th International Conference on the Evolution of Language (EVOLANG 8). World Scientific, pp. 50-57.

Bryson, J. J., 2010. Robots should be slaves. In: Wilks, Y., ed. Close engagements with artificial companions: key social, psychological, ethical and design issues. Amsterdam: John Benjamins, pp. 63-74.

Bryson, J. J., 2010. The need for cognitive systems in medical care. CyberTherapy & Rehabilitation Magazine, 3 (3), pp. 35-36.

Bryson, J. J., 2010. Why robot nannies probably won't do much psychological damage. Interaction Studies, 11 (2), pp. 196-200.

Bryson, J., 2009. Building persons is a choice. Erwägen Wissen Ethik, 20 (2), pp. 195-197.

Bryson, J. J. and Kaczensky, P., 2009. Exploring Knowledge Dissemination as a Selective Force for Aggregation: Preliminary Results from Modelling Wild Asiatic Asses. In: Powers, S., ed. Levels of Selection and Individuality in Evolution: Conceptual Issues and the Role of Artificial Life Models, a workshop at The Tenth European Conference on Artificial Life (ECAL '09), 2009-09-14.

Bryson, J. J., 2009. Age-related inhibition and learning effects: Evidence from transitive performance. In: The 31st Annual Meeting of the Cognitive Science Society (CogSci 2009), 2009-07-29 - 2009-08-01.

Bryson, J. J., 2009. Crude, Cheesy, Second-Rate Consciousness. In: Bishop, M., ed. The Second AISB Symposium Computing and Philosophy, 2009-04-09.

Bryson, J. J., 2009. Representations underlying social learning and cultural evolution. Interaction Studies, 10 (1), pp. 77-100.

Bilovich, A. and Bryson, J. J., 2008. Detecting the evolution of semantics and individual beliefs through statistical analysis of language use. In: Beal, J., Bello, P., Cassimatis, N., Coen, M. and Winston, P., eds. Naturally-Inspired Artificial Intelligence - Papers from the AAAI Fall Symposium, Technical Report. Arlington, VA: AAAI Press, pp. 21-26.

Rohlfshagen, P. and Bryson, J. J., 2008. Improved Animal-Like Maintenance of Homeostatic Goals via Flexible Latching. In: Samsonovich, A. V., ed. Biologically Inspired Cognitive Architectures: Papers from the AAAI Symposium. Arlington, VA: AAAI Press, pp. 153-160.

Bryson, J. J., 2008. The Role of Modularity in Stabilizing Cultural Evolution: Conformity and Innovation in an Agent-Based Model. In: Davis, A. and Ludwig, J., eds. Proceedings of the AAAI Fall Symposium on Adaptive Agents in Cultural Contexts (AACC '08), 2008-11-07 - 2008-11-09.

Bryson, J. J., 2008. The Impact of Durative State on Action Selection. In: Horswill, I., Hudlicka, E., Lisetti, C. and Velasquez, J., eds. Proceedings of the AAAI Spring Symposium on Emotion, Personality, and Social Behavior. AAAI, pp. 2-9.

Bryson, J. J., 2008. Embodiment vs. Memetics. Mind & Society, 7 (1), pp. 77-94.

This list was generated on Sun Sep 24 18:33:14 2017 IST.

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