Posts tagged Origins and Nature of Cognition
The Sustainability Game: AI Technology as an Intervention for Public Understanding of Cooperative Investment (pdf)

Andreas Theodorou, Bryn Bandt-Law and Joanna J. Bryson, to appear at the IEEE Conference on Games (CoG), August 2019.

This is the first paper unifying our transparency work, our games work, and our work on cultural variation in human cooperation and anti-social punishment. Hopefully there will be a bunch more in 2020 and 2021. Camera ready from July 2019 or so. Software on github, linked from the AmonI Software Page.

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Emergent Biases in Compensatory Mutation Can Drive Gene Regulatory Network Evolution [Draft]

Yifei Wang, Marios Richards, Steve Dorus, Nicholas K. Priest, and Joanna J. Bryson, bioRxiv, 2019.

Not directly AI policy, about biological innovation. Basically, mutation really can be a factor of innovation, because compensating for things that go wrong is a lot easier than you thought. We’ve been working on this for years, it’s finally submitted somewhere — that fortunately encourages biorxiv use. See also my papers with Yifei below. Version from December 2019.

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Expectations of Fairness and Trust Co-Evolve in Environments of Partial Information

Paul Rauwolf & and Joanna J. Bryson, Dynamic Games and Applications, 8(4):891-917, 2018.

Highly relevant to information technology policy: The more you know, the less you need to trust, though if you know nothing or don’t have a choice of who you work with, people have no reason to be trustworthy. Trust comes with PARTIAL information, AND at least some freedom. Open access because Bath+Springer

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Communication (pdf)

Rob Wortham and Joanna J. Bryson, open access version, in Living Machines: A Handbook of Research in Biomimetic and Biohybrid Systems, Prescott and Verschure, eds, Oxford University Press, 2018.

A summary of everything biology and biological anthropology have to say on the subject, for the benefit of roboticists in particular. Open access is as of late November 2014, a lightly updated version is now available in the Handbook.

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Semantics Derived Automatically From Language Corpora Contain Human Biases

Aylin Caliskan, Joanna J. Bryson, & Arvind Narayanan, Science, 356 (6334):183-186, 14 Apr 2017.

Be sure to also look at the supplement, which gives the stimuli and shows similar results for a different corpus and word-embedding model. Meaning really is no more or less than how a word is used, so AI absorbs true meaning, including prejudice. We demonstrate this empirically. This is an extension of my research programme into semantics originally deriving from my interest in the origins of human cognition, but now with help from the awesome researchers at Princeton I’ve merged this with my AI ethics work, and also managed to pitch for cognitive systems approaches to AI. Open access version: authors’ final copy of both the main article and the supplement (pdf).

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On the Reliability of Unreliable Information: Gossip as Cultural Memory

Dominic Mitchell, Joanna J. Bryson, Paul Rauwolf, and Gordon Ingram, Interaction Studies, 17:1 pp. 1–25, 2016.

There’s a tradeoff between how fast gossip spreads vs problems with its potential for corruption: it can be a lot more useful than direct experience if it spreads faster than that experience and there isn’t too much false information. Actually, in the real world gossip may give you more information than your perception, but that’s not one of the things we deal with here. This work was actually done prior to (and informed) our 2015 article Value Homophily Benefits Cooperation But Motivates Employing Incorrect Social Information, but took longer to get out for a few reasons. Open access draft.

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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.

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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.

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Understanding and Addressing Cultural Variation in Costly Antisocial Punishment (pdf)

Joanna J. Bryson, James Mitchell, Simon T. Powers, and Karolina Sylwester, in Applied Evolutionary Anthropology: Darwinian Approaches to Contemporary World Issues, Gibson & Lawson (eds.), Springer, 2014.

This book follows from a workshop. Here is a free version of the chapter, the revised draft from May 2013. See further our Cultural Variation in Costly Punishment project page. Note: Google Scholar managed to find a USAF white paper derived from our final report by the same title which has a lot of irrelevant detail and a couple theoretical errors we’ve since discovered. The book chapter is 15 months more recent.

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Evolving Evolvability in the Context of Environmental Change: A Gene Regulatory Network (GRN) Approach

Yifei Wang, Stephen G. Matthews and Joanna J. Bryson, Artificial Life 2014.

Interesting for both biology & machine learning, looks at the role of a potentially-hierarchical network representation in the genome for handling semi-predictable environmental change. Final version is open access, because computer science has archival conferences.

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The Role of Stability in Cultural Evolution: Innovation and Conformity in Implicit Knowledge Discovery

Joanna J. Bryson, book chapter in Perspectives on Culture and Agent-Based Simulations, Virginia and Frank Dignum, (eds), Springer, Berlin 2014.

Some simple simulations of culture and modularity showing interesting stability effects, inspired by a talk Dan Sperber gave in 2008. Open access draft from 2010. Open source netlogo model described in the paper on the AmonI Software Page.

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The Conceptualisation of Emotion Qualia: Semantic Clustering of Emotional Tweets

Eugene Y. Bann and Joanna J. Bryson, in Proceedings of the Thirteenth Neural Computation and Psychology Workshop (NCPW) which actually took place in July 2012, but finally got published in 2014 (Julien Mayor, ed.).

A chapter length description of our attempt to use social media as a source for a more accurate portrayal of the space of human emotions. Derived from Eugene Bann’s undergraduate dissertation. A more recent paper by the same authors on a related topic came out in 2013 ...

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Measuring Cultural Relativity of Emotional Valence and Arousal using Semantic Clustering and Twitter

Eugene Y. Bann and Joanna J. Bryson, Proceedings of Cognitive Science, 2013.

Considers the most common “emotion” keywords on Twitter, and discovers that some concepts, e.g. sleepiness and sadness, are relatively culturally invariant, but others like “surprise” and “stressed” seem to be used quite differently in different global regions. Also, Europeans are the most positive and excited tweeters. Camera-ready from April 2013.

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The Role for Simulations in Theory Construction for the Social Sciences: Case Studies Concerning Divergent Modes of Religiosity

Harvey Whitehouse, Ken Kahn, Michael E. Hochberg, and Joanna J. Bryson, Religion, Brain & Behaviour, 2(3):182-224 (including commentaries and response), 2012.

I’m particularly pleased about this paper because it shows clearly how models can advance even well-established social-scientific theories provided that we work directly with domain experts who really understand the theory and data. There are some very pithy, quotable text about this in our response to commentaries, From the Imaginary to the Real: The Back and Forth Between Reality and Simulation. Open access pre-proof version of the target article, and of the response to commentaries. Associated software is available from the AmonI software page, and also in the electronic appendix. Oxford Anthropology have made a web page about our simulation of religion work.

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Punishment Can Promote Defection in Group-Structured Populations

Simon T. Powers, Daniel J. Taylor and Joanna J. Bryson, The Journal of Theoretical Biology, 311:107-116, 2012.

Penultimate version on arXiv. This paper shows that punishment alone can’t explain altruism, the papers that thought it could didn’t take into account the well-documented behaviour of anti-social punishment. Basically, some people punish those that contribute to the public good. This is the first article of at least five we expect to publish explaining this phenomenon, and why it varies by culture. See our Cultural Variation in Costly Punishment project page.

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Structuring Intelligence: The Role of Hierarchy, Modularity and Learning in Generating Intelligent Behaviour (pdf)

Joanna J. Bryson, from McFarland, D., Stenning, K. and McGonigle-Chalmers, M. (eds.) The Complex Mind, on Palgrave MacMillan, 2012.

An invited chapter for a book written in honour of the late Brendan McGonigle. The chapter mostly takes a neuro and psychological approach, but last section is Eco Evo Devo, with some ideas I’ve been working on lately on the origins of cognition. This is the draft sent to the publisher in March 2010.

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Agent-Based Models as Scientific Methodology: A Case Study Analysing the DomWorld Theory of Primate Social Structure and Female Dominance (pdf)

Joanna J. Bryson, Yasushi Ando & Hagen Lehmann, from Modelling Natural Action Selection (Seth, Prescott & Bryson eds.), CUP, 2011.

The discussion is updated from our 2007 PTRS-B article, though the models are not. Penultimate draft from 2010, related (including improved) software is available here.

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Crude, Cheesy, Second-Rate Consciousness (pdf)

Joanna J. Bryson, from the proceedings of Brain Inspired Cognitive Systems (BICS) 2010.

This is an update of the AISB update of the Vienna Consciousness paper. The next step should be a journal article. The title is a reference to a Dennett quote well worth knowing. The paper claims we already have conscious robots and it’s not that big of a deal. It also puts forward some cool ideas about the functional role of the action-selection-related process that we experience as consciousness.

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Cultural Ratcheting Results Primarily from Semantic Compression (pdf)

Joanna J. Bryson, from The Proceedings of Evolution of Language 2010, Smith, Schouwstra, de Boer & Smith (eds.) pp. 50-57.

Discriminates the size of a culture (how much information can be transmitted from one generation to the next) from its extent (how much useful behaviour can be generated) and argues that the vast majority of cultural ratcheting is because the size of human culture finally got large enough that cultural evolution could start increasing its extent.

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Age-Related Inhibition and Learning Effects: Evidence from Transitive Performance (pdf)

Joanna Bryson, in Proceedings of the 31st Annual Meeting of the Cognitive Science Society (CogSci 2009) pp. 3040-3045.

The paper is a scientific consequence of the ideas put forward in “Crude, Cheesy, Second-Rate Consciousness” (see below), and the work I am doing on understanding the evolution of cognition. It concerns the tradeoffs between individual and genetic learning, and whether these may be shifted on the basis of individual experience over an agent’s life history. Evidence is derived from models of macaque task learning. Camera ready from April 2009. Associated software comes with the standard lisp distribution of BOD.

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Embodiment vs. Memetics

Joanna J. Bryson, in Mind & Society, 7(1):77-94, May 2008.

Discusses the importance of the discovery that human-like semantics can be learned simply from observing large corpora, with ramifications for the evolution of language. The final version is from November 2007, here is a penultimate draft (pdf) from August for those who do not subscribe, although it has a couple gaffs in it.

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The Impact of Durative State on Action Selection (pdf)

Joanna J. Bryson, appeared in Emotion, Personality, and Social Behavior at the AAAI 2008 Spring Symposia at Stanford in March.

This is a somewhat pedantic overview of the improvements we’ve made to BOD, POSH and of course AI action selection in general in the last three years, with an eye to pleasing the EPSRC since my grant with the same title just ran out. Final version from January 2008.

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Agent-Based Models as Scientific Methodology: A Case Study Analysing Primate Social Behaviour

Joanna J Bryson, Ando Yasushi and Hagen Lehmann, Philosophical Transactions of the Royal Society - B, Biology, 362(1485):1685-1698, 2007.

This paper talks about how ABM fits in as a part of scientific methodology, and in particular analyzes as a case study the macaque social structure simulation in Hemelrijk’s DomWorld. The DomWorld link includes the associated software. An earlier version of this paper with the predictions and not the full analysis appears under 2005 below (Lehmann et al). Green open access draft.

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Introduction. Modelling Natural Action Selection

Tony J. Prescott, Joanna J. Bryson and Anil K. Seth, associated introductory article to the above special issue, Philosophical Transactions of the Royal Society, B – Biology, 2007.

This is actually quite a substantial article which covers the concept of action selection far more thoroughly than any other article in the two issues. I strongly recommend reading it. Written in April 2006.

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Representations for Action Selection Learning from Real-Time Observation of Task Experts (pdf)

Mark Wood and Joanna J. Bryson, in IJCAI 2007, presented in Hyderabad in January 2007.

This paper expands on the COIL system (presented first and more completely in the IEEE journal article) for imitation learning, showing how adding solid Bayesian representations improves both performance and extendibility. Final version from October 2006.

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Skill Acquisition Through Program-Level Imitation in a Real-Time Domain

Mark Wood and Joanna J. Bryson, IEEE Transactions on Systems Man and Cybernetics, 37(2):272-285, 2007.

This paper presents an imitation learning system called COIL (inspired by Deb Roy’s CELL) capable of learning tasks in a dynamic real-time environment (Unreal Tournament). If you don’t subscribe to IEEE, here is a draft from May 2006. An even older version is Bath Technical report CSBU-2005-16.

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Agent Based Modelling of Communication Costs: Why Information Can Be Free (pdf)

Ivana Cace and Joanna J. Bryson, in Emergence of Communication and Language on Springer, edited by Caroline Lyon, Chrystopher L. Nehaniv and Angelo Cangelosi, 2007.

Shows that the tendency to communicate information can be adaptive even though it has immediate costs to the communicators and there are free riders / information hoarders around the place. A chapter-length extension of Cace & Bryson ’05. Version from early March 2006.

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The Attentional Spotlight (pdf)

Joanna J. Bryson, from Minds and Machines, 16(1):21-28, 2006.

Jon Dorbolo wanted someone to write about Dan Dennett and Cog, and apparently Dennett suggested me! This isn’t the usual kind of thing I write — it’s mostly anecdotes and amateur philosophy — but people like it. Talks about Cog’s first years, modular AI, philosophy of science, being a grad student, and a bit about memetics. Written in May 2005.

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Where Should Complexity Go? Cooperation in Complex Agents with Minimal Communication (pdf)

Joanna J. Bryson, in the proceedings of the First GSFC/JPL Workshop on Radical Agent Concepts (WRAC), 2003.

Discusses when to use communication between agents in a multi-agent system vs. when to use behavior arbitration between modules in a modular single agent. Shows code from the primate colony simulation I’m working on with Jessica Flack. Final version is © Springer-Verlag. Updated 3 July 2002.

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The Study of Sequential and Hierarchical Organisation of Behaviour via Artificial Mechanisms of Action Selection (pdf)

Joanna Joy Bryson, MPhil Dissertation: University of Edinburgh, Faculty of Social Sciences (Department of Psychology), 2000.

That is the 173-page 11-point 1.5-spaced PDF version, with a little source code my examiners asked for. There’s also a 94-page 10-point single-spaced compressed postscript version with no source code. Complete source code is available at the bottom of this page. Summary: gives evidence for the need for structured control from three sources: the history of AI agent architectures, my experiments in two domains (robotics and artificial life), and a review of the neurological / behavioral literature. Also discusses the dialect differences between Psychology and AI, and AI as a research tool for Psychology. Final corrections, January 2000.

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