2015 — Publications — Joanna Bryson

Posts in 2015

Artificial Intelligence and Pro-Social Behaviour

Joanna J. Bryson, from the October 2015 Springer volume, Collective Agency and Cooperation in Natural and Artificial Systems: Explanation, Implementation and Simulation, derived from Catrin Misselhorn’s 2013 meeting, Collective Agency and Cooperation in Natural and Artificial Systems.

This brings together all three threads of my research: action selection, natural cognition and collective behaviour, and the mischaracterisation of AI as an active threat. In response to the apocalyptic futurism typified by Bostrom’s Superintelligence, I frame AI as an ordinary part of human culture, which for 10,000 years has included physical artefacts that enhance our cognitive capacities, and is apocalyptic enough in its own right. Open access: here’s the post-review submitted version from September 2014, or email me for the corrected final.

2015ScienceSitesMay 10, 2020Ethics and Policy, Origins and Nature of Cognition, AI Ethics

Recombination Is Surprisingly Constructive for Artificial Gene Regulatory Networks in the Context of Selection for Developmental Stability

Yifei Wang, Yinghong Lan, Daniel Weinreich, Nick Priest and Joanna J. Bryson, in the proceedings of The 13th European Conference on Artificial Life, July 20-24, 2015, York, UK.

The title says it all, except I think that I think we may be onto something really significant for machine learning as well as theoretical biology here.

2015ScienceSitesMay 10, 2020

Value Homophily Benefits Cooperation But Motivates Employing Incorrect Social Information

Paul Rauwolf, Dominic Mitchell, and Joanna J. Bryson, Journal of Theoretical Biology, 367:246–261, 2015.

Preferring to cooperate with those with a similar cooperation style supports the evolution of cooperation. Reputations spread through gossip supports this strategy. But now that you are spreading two kinds of information (reputations of others, and your own style of cooperation) you can have a conundrum when these conflict. When there is such a conflict, signalling honestly about your cooperation strategy can be more beneficial to your community than telling the truth about someone else. Free open access draft is here. Software is coming soon. Draft is from October 2014, yet the work originally derived from On the Reliability of Unreliable Information: Gossip as Cultural Memory, which came out in 2016. Such is academia.

2015ScienceSitesMay 10, 2020Origins and Nature of Cognition, Evolving Human-Like Culture, Cultural Variation in Cooperation

Learning from Play: Facilitating Character Design Through Genetic Programming and Human Mimicry

Swen E. Gaudl, Joseph Carter Osborn, and Joanna J. Bryson, from Progress in Artificial Intelligence: Proceedings of 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015.

Also solving AI through social learning, this time game character strategies derived from human game traces. Open access camera ready version.

2015ScienceSitesMay 10, 2020Systems Engineering

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Joanna J. Bryson, from the October 2015 Springer volume, Collective Agency and Cooperation in Natural and Artificial Systems: Explanation, Implementation and Simulation, derived from Catrin Misselhorn’s 2013 meeting, Collective Agency and Cooperation in Natural and Artificial Systems.

Yifei Wang, Yinghong Lan, Daniel Weinreich, Nick Priest and Joanna J. Bryson, in the proceedings of The 13th European Conference on Artificial Life, July 20-24, 2015, York, UK.

Paul Rauwolf, Dominic Mitchell, and Joanna J. Bryson, Journal of Theoretical Biology, 367:246–261, 2015.

Swen E. Gaudl, Joseph Carter Osborn, and Joanna J. Bryson, from Progress in Artificial Intelligence: Proceedings of 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Coimbra, Portugal, September 8-11, 2015.

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