AISB 2026 Symposium: Hype, Promise, and Speculation: AI Bubbles and the Replication Crisis in Computer Science



AISB convention information

1-2 July 2026

AISB 2026, University of Sussex, UK

Keynote Speaker: Anil Seth, Professor of Cognitive and Computational Neuroscience, University of Sussex

Day of celebration: life and work of Prof Margaret Boden, 30 June. 

Attendance to the day of celebration is free for attendees of the AISB Convention.

Symposium outline

In this symposium we intend to tackle complementary issues related to the likelihood of a replication crisis in computer science and computational methods, and an emerging AI bubble on the other. 

The replication crisis

The replication crisis has crossed multiple fields in science asking if results presented in published papers can be reproduced, repeated, and/or replicated. In their efforts to verify results various disciplines, including computer science, have already found that the answer for too many papers is “no” (Gundersen et al 2025, Cockburn et al 2020). In this symposium we look at the replication crisis as it pertains especially to computer science, whether within the discipline (cf. Cockburn et al 2020), or as applied to, or utilised in, other disciplines, such as computational modelling for neuroscience (Miłkowski et al 2018). 

There is also uncertainty about the extent to which ‘questionable research practices’ (QRPs) can be found in the above contexts. These can include manipulating data for statistically significant results (p-hacking), post hoc analysis to find statistically significant outcomes (p-fishing), or so as to present these as expected, i.e. ‘Hypothesising After the Results are Known’ (HARKing) (Cockburn et al 2020). Meanwhile, there are also proposals to address QRPs in computer science research, for instance through replication or the use of pre-study registered reports that include hypotheses and methods etc (Brown et al 2022).

AI bubbles

It’s clear that AI development is expanding substantially (Giattino et al 2023) , but the extent to which this growth is sustainable is unclear. Meanwhile, the possibility of this becoming another bubble, like those from the dot com boom and real estate, is clear (Carvão 2025). A bubble is a vague concept that captures where a process or commodity is valued or hyped beyond its intrinsic worth, typically in unsustainable ways. If contemporary expectations currently dominating the AI field do turn out to be a bubble we can expect further expansion, and then collapse, typically causing damage in the process. The economic damage of a collapse is already estimated by US commentators to rival the bursting of the dot-com bubble in 1990 and the financial crash of 2008 (Allyn 2025, Casselman and Ember 2025, Yip 2025). In the symposium we look beyond the speculation of AI stocks at the promises and reality of AI capabilities and what the effects of the potential bubble are.

In addition to the above are epistemic bubbles, which form around new or ‘popular’ ideas. ‘Epistemic bubbles’ may include ‘self-segregated’ networks of ‘like-minded people’ whose members are ‘liable to converge on and resist correction of false, misleading or unsupported claims’ (Sheeks 2023). These bubbles can in turn create ‘social epistemic’ structures which are similar to echo chambers, ‘in which other relevant voices have been actively discredited’ (Nguyen). In AI contexts, these epistemic bubbles might exclude voices who are critical of these technologies, or who doubt either its identity as AI, or its scope for positive impacts and change. Not least as ‘AI’ as a term brings greater expectations, including financial, compared with describing the technology in terms of its components and capacities, e.g. as LLMs, RAGs, DNNs, transformers, models, etc. Bubbles can also be created through the use of AI itself, for instance due to its scope for personalisation on media platforms, and agreeableness in GenAI chatbots, such that views of users are neither challenged nor developed.

References

Allyn, B. (November 2025). Here's why concerns about an AI bubble are bigger than ever. Published online at NPR. Retrieved from: https://www.npr.org/2025/11/23/nx-s1-5615410/ai-bubble-nvidia-openai-revenue-bust-data-centers

Brown, N. C., Marinus, E., & Hubbard Cheuoua, A. (2022, August). Launching registered report replications in computer science education research. In Proceedings of the 2022 ACM Conference on International Computing Education Research, Volume 1, 309-322.

Carvão, P. (August 2025). Is The AI Bubble Bursting? Lessons From The Dot-Com Era. Published online at Forbes.Retrieved from: https://www.forbes.com/sites/paulocarvao/2025/08/21/is-the-ai-bubble-bursting-lessons-from-the-dot-com-era/

Casselman, B. & Ember, S. (November 2025). The A.I. Boom Is Driving the Economy. What Happens if It Falters? Published online at NY Times. Retrieved from: https://www.nytimes.com/2025/11/22/business/the-ai-boom-economy.html

Cockburn, A., Dragicevic, P., Besançon, L., & Gutwin, C. (2020). Threats of a replication crisis in empirical computer science. Communications of the ACM, 63(8), 70-79.

Giattino, C., Mathieu, E., Samborska, V., & Roser, M. (2023) Artificial Intelligence Published online at OurWorldinData.org. Retrieved from: 'https://ourworldindata.org/artificial-intelligence'

Gundersen, O.E., Cappelen, O., Mølnå, M. and Nilsen, N.G. (2025). The Unreasonable Effectiveness of Open Science in AI: A Replication Study. Proceedings of the AAAI Conference on Artificial Intelligence. 39, 25 (Apr. 2025), 26211-26219. DOI:https://doi.org/10.1609/aaai.v39i25.34818.

Miłkowski, M., Hensel, W. M., & Hohol, M. (2018). Replicability or reproducibility? On the replication crisis in computational neuroscience and sharing only relevant detail. Journal of computational neuroscience, 45(3), 163-172.

Sheeks, M. (2023). The Myth of the Good Epistemic Bubble. Episteme, 20(3), 685–700. https://doi.org/10.1017/epi.2022.52

Nguyen, C. Thi. (2020). Echo Chambers and Epistemic Bubbles. Episteme 17 (2): 141–61.https://doi.org/10.1017/epi.2018.32.

Yip J. (October 2025) Are we in an AI bubble? Here’s what analysts and experts are saying Published online at cnbc.com. Retrieved from: https://www.cnbc.com/2025/10/21/are-we-in-an-ai-bubble.html

Submissions

We invite papers from a wide range of disciplines, including computer science, AI, Machine Learning, Natural Language Processing, Explainable AI, philosophy, behavioural sciences, psychology, social sciences, and those working with computational models, e.g. in finance. 

We welcome a broad variety of topics, including but not limited to:

  • Machine learning (e.g. modelling, AI)
  • Large language models
  • Neural networks
  • Deep learning
  • Explainable AI
  • Decision trees
  • Replication crisis
  • AI bubble(s)

Example research questions: 

  • What kinds of impacts are computational methods having on science, e.g. machine learning methods, statistical analysis?
  • How do computer science methods harm or help the replicability of research?
  • Is research in computer science replicable?
  • Does the name ‘Artificial Intelligence’ have an effect on what is expected of AI?
  • Are current valuations (financial, social etc) of AI realistic?
  • Is there an AI bubble in science?
  • Related bubbles that might be relevant to these topics, e.g. is big data also a bubble?

Submission timeline

March 23 2026

Submission of extended abstracts

March 30 2026

Abstracts allocated to reviewers

April 17 2026

Deadline for reviews, for circulation to authors

May 22 2026

Date by which camera-ready copies of final abstracts should be received from authors, along with completed copyright forms.

June 5 2026

PDF Camera ready proceedings submitted to AISB-2026 organisers, along with all copyright forms.

Organising Committee

  • Y. J. Erden (University of Twente)
  • Kiona Bijker (University of Twente)
  • Katleen Gabriels (Maastricht University)
  • Martin Lentschat (Université Toulouse)
  • Doina Bucur (University of Twente)

Programme committee 

  • Maren Behrensen (Philosophy, University of Twente)
  • Marcus Gerhold (Computer Science, University of Twente)
  • Susannah E. Glickman (History, Stony Brook University)
  • Adam Henschke (Philosophy, University of Twente)
  • Saana Jukola (Philosophy, University of Twente)
  • Miles MacLeod (Philosophy, University of Twente)
  • Cyrus C. M. Mody (STS, Maastricht University)
  • Yagmur Ozturk (Grenoble Informatics Laboratory (LIG), Université Grenoble Alpes)
  • Stephen Rainey (Philosophy, TU Delft)
  • Danielle Shanley (Philosophy, Maastricht Univertisy)
  • Nicola Strisciuglio (Computer Science, University of Twente)
  • Rob Wortham (Dept of Electronic and Electrical Engineering, University of Bath)

Schedule

The schedule will appear here when it becomes available
















Call for Abstracts

Please send any questions to Y. J. Erden (University of Twente):

1-2 July 2026

AISB 2026, University of Sussex, UK, https://aisb.org.uk/

Keynote Speaker: Anil Seth, Professor of Cognitive and Computational Neuroscience, University of Sussex

Day of celebration: life and work of Prof Margaret Boden, 30 June. 

Attendance at the day of celebration is free for attendees of the AISB Convention. 

Symposium outline

In this symposium we intend to tackle complementary issues related to the likelihood of a replication crisis in computer science and computational methods, and an emerging AI bubble. 

Symposium website: https://aisb.org.uk/aisb-2026-symposium-hype-promise-and-speculation

Submission: Extended abstracts of 500 words (maximum, excluding references) to Easychair: https://easychair.org/conferences/?conf=aibc2026

Deadline: 23 March 2026

OVERVIEW: 

The replication crisis

The replication crisis has crossed multiple fields in science asking if results presented in published papers can be reproduced, repeated, and/or replicated. In their efforts to verify results various disciplines, including computer science, have already found that the answer for too many papers is “no” (Gundersen et al 2025, Cockburn et al 2020). In this symposium we look at the replication crisis as it pertains especially to computer science, whether within the discipline (cf. Cockburn et al 2020), or as applied to, or utilised in, other disciplines, such as computational modelling for neuroscience (Miłkowski et al 2018). There is also uncertainty about the extent to which ‘questionable research practices’ (QRPs) can be found in the above contexts. These can include manipulating data for statistically significant results (p-hacking), post hoc analysis to find statistically significant outcomes (p-fishing), or to present these as expected, i.e. ‘Hypothesising After the Results are Known’ (HARKing) (Cockburn et al 2020). Meanwhile, there are also proposals to address QRPs in computer science research, for instance through replication or the use of pre-study registered reports that include hypotheses and methods etc (Brown et al 2022).

AI bubbles

It’s clear that AI development is expanding substantially (Giattino et al 2023) , but the extent to which this growth is sustainable is unclear. Meanwhile, the possibility of this becoming another bubble, like those from the dot com boom and real estate, is clear (Carvão 2025). A bubble is a vague concept that captures where a process or commodity is valued or hyped beyond its intrinsic worth, typically in unsustainable ways. If contemporary expectations currently dominating the AI field do turn out to be a bubble we can expect further expansion, and then collapse, typically causing damage in the process. The economic damage of a collapse is already estimated by US commentators to rival the bursting of the dot-com bubble in 1990 and the financial crash of 2008 (Allyn 2025, Casselman and Ember 2025, Yip 2025). In the symposium we look beyond the speculation of AI stocks at the promises and reality of AI capabilities and what the effects of the potential bubble are. In addition to the above are epistemic bubbles, which form around new or ‘popular’ ideas. ‘Epistemic bubbles’ may include ‘self-segregated’ networks of ‘like-minded people’ whose members are ‘liable to converge on and resist correction of false, misleading or unsupported claims’ (Sheeks 2023). These bubbles can in turn create ‘social epistemic’ structures which are similar to echo chambers, ‘in which other relevant voices have been actively discredited’ (Nguyen 2020). In AI contexts, these epistemic bubbles might exclude voices who are critical of these technologies, or who doubt either its identity as AI, or its scope for positive impacts and change. Not least as ‘AI’ as a term brings greater expectations, including financial, compared with describing the technology in terms of its components and capacities, e.g. as LLMs, RAGs, DNNs, transformers, models, etc. Epistemic bubbles can also be created through the use of AI itself, for instance due to its scope for personalisation on media platforms, and agreeableness in GenAI chatbots, such that views of users are neither challenged nor developed.

TOPICS OF INTEREST 

We invite papers from a wide range of disciplines, including: computer science, AI, Machine Learning, Natural Language Processing, Explainable AI, philosophy, behavioural sciences, psychology, social sciences, and those working with computational models, e.g. in finance. 

We welcome a broad variety of topics, including but not limited to:

  • Machine learning (e.g. modelling, AI)
  • Large language models
  • Neural networks
  • Deep learning
  • Explainable AI
  • Decision trees
  • Replication crisis
  • AI bubble(s)

Example research questions: 

  • What kinds of impacts are computational methods having on science, e.g. machine learning methods, statistical analysis?
  • How do computer science methods harm or help the replicability of research?
  • Is research in computer science replicable?
  • Does the name ‘Artificial Intelligence’ have an effect on what is expected of AI?
  • Are current valuations (financial, social etc) of AI realistic?
  • Is there an AI bubble in science?
  • Related bubbles that might be relevant to these topics, e.g. is big data also a bubble?

SUBMISSION AND PUBLICATION DETAILS 

Submission: Extended abstracts of 500 words (maximum, excluding references) to Easychair: https://easychair.org/conferences/?conf=aibc2026

Deadlines: 

  • Abstract submission deadline: 23 March 2026
  • Notification of acceptance/rejection decisions: 17 April 2026
  • Final versions of accepted abstracts: 22 May 2026
  • Conference: 1 to 2 July 2026 [symposium date tbc] 


SYMPOSIUM ORGANISERS: 

Organising Committee

  • Y. J. Erden (University of Twente) y.j.erden@utwente.nl
  • Kiona Bijker (University of Twente) k.bijker@student.utwente.nl
  • Katleen Gabriels (Maastricht University) k.gabriels@maastrichtuniversity.nl
  • Martin Lentschat (Université Toulouse) martin.lentschat@univ-tlse2.fr 
  • Doina Bucur (University of Twente) d.bucur@utwente.nl

Programme committee 

  • Maren Behrensen (Philosophy, University of Twente)
  • Marcus Gerhold (Computer Science, University of Twente)
  • Susannah E. Glickman (History, Stony Brook University)
  • Adam Henschke (Philosophy, University of Twente)
  • Saana Jukola (Philosophy, University of Twente)
  • Miles MacLeod (Philosophy, University of Twente)
  • Cyrus C. M. Mody (STS, Maastricht University)
  • Yagmur Ozturk (Grenoble Informatics Laboratory (LIG), Université Grenoble Alpes)
  • Stephen Rainey (Philosophy, TU Delft)
  • Danielle Shanley (Philosophy, Maastricht Univertisy)
  • Nicola Strisciuglio (Computer Science, University of Twente)
  • Rob Wortham (Dept of Electronic and Electrical Engineering, University of Bath)

About the AISB: https://aisb.org.uk/

The Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) is the largest Artificial Intelligence Society in the United Kingdom. Founded in 1964, the society has an international membership from academia and industry, with a serious interest in Artificial Intelligence, Cognitive Science and related areas. It is a member of the European Coordinating Committee for Artificial Intelligence. The AISB Convention typically consists of a set of co-located symposia on a wide-range of topics in AI and the simulation of behaviour; there are often also a number of plenary lectures, and other events such as public engagement sessions, and historical/artistic exhibitions. The symposium model allows for the community to decide what the current topics of interest are and the direction that the field is heading. The event is central to the AISB and its mandate of promoting AI research, and in providing early career researchers and students a supportive environment in which to discuss their research. 

References

Allyn, B. (November 2025). Here's why concerns about an AI bubble are bigger than ever. Published online at NPR. Retrieved from: https://www.npr.org/2025/11/23/nx-s1-5615410/ai-bubble-nvidia-openai-revenue-bust-data-centers

Brown, N. C., Marinus, E., & Hubbard Cheuoua, A. (2022, August). Launching registered report replications in computer science education research. In Proceedings of the 2022 ACM Conference on International Computing Education Research, Volume 1, 309-322.

Carvão, P. (August 2025). Is The AI Bubble Bursting? Lessons From The Dot-Com Era. Published online at Forbes.Retrieved from: https://www.forbes.com/sites/paulocarvao/2025/08/21/is-the-ai-bubble-bursting-lessons-from-the-dot-com-era/

Casselman, B. & Ember, S. (November 2025). The A.I. Boom Is Driving the Economy. What Happens if It Falters? Published online at NY Times. Retrieved from: https://www.nytimes.com/2025/11/22/business/the-ai-boom-economy.html

Cockburn, A., Dragicevic, P., Besançon, L., & Gutwin, C. (2020). Threats of a replication crisis in empirical computer science. Communications of the ACM, 63(8), 70-79.

Giattino, C., Mathieu, E., Samborska, V., & Roser, M. (2023) Artificial Intelligence Published online at OurWorldinData.org. Retrieved from: 'https://ourworldindata.org/artificial-intelligence'

Gundersen, O.E., Cappelen, O., Mølnå, M. and Nilsen, N.G. 2025. The Unreasonable Effectiveness of Open Science in AI: A Replication Study. Proceedings of the AAAI Conference on Artificial Intelligence. 39, 25 (Apr. 2025), 26211-26219. DOI:https://doi.org/10.1609/aaai.v39i25.34818.

Miłkowski, M., Hensel, W. M., & Hohol, M. (2018). Replicability or reproducibility? On the replication crisis in computational neuroscience and sharing only relevant detail. Journal of computational neuroscience, 45(3), 163-172.

Sheeks, M. (2023). The Myth of the Good Epistemic Bubble. Episteme, 20(3), 685–700. https://doi.org/10.1017/epi.2022.52

Nguyen, C. Thi. 2020. “ECHO CHAMBERS AND EPISTEMIC BUBBLES.” Episteme 17 (2): 141–61.https://doi.org/10.1017/epi.2018.32.

Yip J. (October 2025) Are we in an AI bubble? Here’s what analysts and experts are saying Published online at cnbc.com. Retrieved from: https://www.cnbc.com/2025/10/21/are-we-in-an-ai-bubble.html 

AISB 2026 – Call for Symposia Proposals

CALL FOR SYMPOSIA PROPOSALS: AISB 2026, University of Sussex

DEADLINE: November 30, 2025

Contact: Simon Bowes S.C.Bowes@sussex.ac.uk

AISB 2026 will be held at the University of Sussex on the 1st-2nd July. Further information on arrangements for the convention will be made available as information becomes available.

Keynote Speaker: Anil Seth

The AISB 2026 convention will follow the same overall structure as previous conventions, namely a set of co-located symposia, and we are seeking proposals for these symposia. Typical symposia last for one or two days, and can include any type of event of academic benefit: talks, posters, panels, discussions, demonstrations, outreach sessions, etc. Proposals for Symposia are welcomed in all areas of AI and cognitive science. Some suggested areas are shown below, although any proposal in the field of AI or cognitive science will be welcomed:

  • AI in Education
  • Agency & AI
  • Art & AI
  • Cognitive & Computational Neuroscience
  • Computational theory of mind
  • Computational Intelligence
  • Consciousness
  • Embodiment and AI
  • Ethics of AI
  • Human and Machine Creativity
  • Hybrid Human-AI
  • Knowledge Representation
  • Machine Learning
  • Robotics
  • Bio-inspired approaches
  • Simulation of Human and Animal Behaviour
  • The Turing Test and Philosophical Foundations of AI

Proposing a Symposium

Each symposium is organized by its own programme committee. The committee proposes the symposium, defines the area(s) and structure for it, issues calls for abstracts/papers etc., manages the process of selecting submitted papers for inclusion, and compiles an electronic file for inclusion in the convention proceedings.

Proposers are welcome to submit or be involved with more than one proposal. Proposers need not already be members the AISB and will not be required to become members. They will of course be encouraged to join!

Deadline for symposium proposals: 30th November 2025
Notification of acceptance: 15th December 2025

Submissions should consist of the following:

  • A title.
  • A 300–1000-word description of the scope of the symposium, and its relevance to the convention along with the nature of the academic events (talks, posters, panels, demonstrations, etc.).
  • Whether the symposium is intended as a sequel to a symposium at a previous AISB conference.
  • An indication of whether submissions will be by abstract, extended abstract, or full paper.
  • Your preferences about the intended length of the symposium as a number of days (half a day, one day or two days), together with a brief justification.
  • A description (up to 500 words) of any experience you have in organization of academic research meetings (please note that it is not a requirement that you have such experience).
  • Names and affiliations of any invited speakers that you may have in mind for the symposium.
  • Your names and full contact details, together with, if possible, names and workplaces of the members of a preliminary, partial programme committee.
Please e-mail your completed proposal to Simon Bowes: S.C.Bowes@sussex.ac.uk

Joint IACAP/AISB Conference on Philosophy of Computing and AI (IACAP/AISB-25)

1-3 July 2025, University of Twente, NL

Latest Updates

Registration for IACAP-AISB-25 is now open. Here is the link for registration system: https://2025.tickets.iacapconf.org/

Further information on the preliminary programme will be communicated and published on the conference website: https://iacapconf.org/

For practical information including accommodation please visit here: https://iacapconf.org/pages/practical.html

Please note that there is an exciting free workshop with reception co-organised with, and sponsored by, 4TU.ethics on the Monday before the conference. Places are limited. More information is available on the conference and registration websites.

Call for Abstracts

The International Association for Computing and Philosophy (IACAP) and the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) will host a joint conference in July 2025. Please see below for joint CFA.


Conference dates: July 1-3
Conference website: https://iacapconf.org/
Host Organisation Websites:
IACAP.org
AISB.org.uk
Conference location: Enschede, NL.
Conference host: University of Twente

Keynote Speakers

AISB Keynote – Philip Brey
IACAP Covey Award Address – To be announced soon. Nominations are closed.
IACAP Simon Award Address – To be announced soon. Nominations are closed.

Calls for Symposia Contributions (still open)

If you consider submitting a paper for a symposium at IACAP/AISB, each symposium has its own submission format, specifications and timeline. Here are the symposia that are open for submissions:

Accepted Symposia in closed format (no call for contributions)

  • Advancing Debates on the Epistemology of Medical AI, with Juan M. Durán, Emanuele Ratti, Emma-Jane Spencer and Chirag Arora
  • The Epistemic Risks of AI Integration, with Ian Robertson, Sascha Fink, Hadeel Naeem and Brandon Ashby
  • Values and AI Systems, with Vincent C. Müller, Max Hellrigel-Holderbaum, Ibifuro Robert Jaja and Eleonora Catena

Call for Abstracts and Symposia Proposals (all closed)

The International Association for Computing and Philosophy (IACAP) has a long-lasting tradition of promoting philosophical dialogue and interdisciplinary research on all aspects of computing as it relates to philosophy. IACAP’s members have contributed to shaping the philosophical (both theoretical and applied) debate about computing, information technologies, and artificial intelligence.


The Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) is the largest Artificial Intelligence Society in the United Kingdom. Founded in 1964, the society has an international membership from academia and industry, with a serious interest in Artificial Intelligence, Cognitive Science and related areas. It is a member of the European Coordinating Committee for Artificial Intelligence.

Our joint 2025 annual meeting will gather philosophers, ethicists, roboticists, and computer scientists and engineers interested topics that include:

  • Artificial Intelligence and Machine Learning
  • Ethics, Philosophy, and Societal Impact of AI and Computing
  • Robotics, Autonomous Systems, and Human-Machine Interaction
  • Cognitive Science and Computational Models of Mind and Behavior
  • Embodied, Ecological, and Distributed Cognition
  • Consciousness, Emotions, and Affective Computing
We welcome submissions of various kinds:

  • Symposia – will typically run one or two full days. Successful applicants will issue their own CfPs and organise reviews
  • Individual papers – typically as 30-minute talks (including Q&A)
  • Poster presentations – either submitted as such or as alternative format for individual papers
  • Workshops – more open, interactive format, typically as 90-minute sessions
Authors of papers are free to decide whether they submit their contributions to one of the accepted symposia or individually – depending on topical fit.

Depending on format, submissions may be published in proceedings either as extended abstracts or as full papers.

Important Dates

  • Symposia Proposals due date (extended, was December 1): January 15, 2025.
  • Notification of acceptance for Symposia proposals: December 9, 2024 for all submissions sent before December 1, all others January 30, 2025.
  • Extended Abstracts (approx. 1000 words) for individual Presentations, Posters, and Workshops independent of Symposia, due date (extended, was December 20): January 15, 2025.
  • Notification of acceptance for Presentations, Posters, Workshops: March 31, 2025.
  • Conference registration opens: April 1, 2025. (For individual papers, posters, and workshops: In case you need a visa, please note this with your submission so that we can facilitate an early review.)

Join the Community

For updates on IACAP conferences and to be part of the conversation with other attendees, you can join:

Royal Bank of Canada to Support AISB 2025

AISB 2025 Banner

We are delighted to announce that Royal Bank of Canada have kindly agreed to support the AISB Convention 2025. RBC are a long time supporter of the AISB Convention and we are grateful for their support again this year.

RBC Logo

AISB 2025 takes place on 14th – 16th January 2025 at UWE, Bristol. Places are still available for registration online. Full details of the convention and registration options are available here.

CFP: General Track, at AISB-2025, University of the West of England (UWE), Bristol, 14-16 January 2025

As part of the AISB-2025 Annual Convention 2025 to be held at the University of the West of England (UWE), Bristol, 14-16 January 2025
https://aisb.org.uk/aisb-convention-2025-non-members/
The convention is organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB)
https://aisb.org.uk/

OVERVIEW

This track accommodates AI research that does not align with any of the other special tracks.

TOPICS OF INTEREST

  • Agents and multi-agent systems
  • Agent-based social simulation
  • Verification of AI systems
  • Combining learning and reasoning
  • Argumentation
  • AI & cyber security
  • Natural language processing
  • Knowledge representation

SUBMISSION AND PUBLICATION DETAILS

Submissions may be full papers or extended abstracts and should be sent to steve.battle@uwe.ac.uk with AISB GENERAL TRACK in the subject line.
We request that submitted papers are limited to eight pages, and extended abstracts are limited to 500-800 words. Each paper or abstract will receive at least two reviews. Selected papers will be published in the general proceedings of the AISB Convention, with the proviso that at least ONE author attends the symposium, in person, to present the paper and participate in general symposium activities.

IMPORTANT DATES

  1. Extended abstract submission deadline: Extended to December 1, 2024
  2. Notification of acceptance/rejection decisions: December 9, 2024
  3. Final versions of accepted papers (Camera ready copy): January 7, 2025
  4. Convention: 14-16 January 2025

ADDITIONAL INFORMATION

Please note that there will be separate proceedings for each symposium, produced before the convention. Delegates will either receive a memory stick containing the proceedings of all the symposia, or this content will be available online. In previous years there have been awards for the best student paper, and limited student bursaries. These details will be circulated as and when they become available. Authors of a selection of the best papers may be invited to submit an extended version of the work to a journal special issue.

SYMPOSIUM ORGANISERS

SYMPOSIUM CHAIR: Dr Steve Battle, School of Computing and Creative Technologies, University of the West of England (UWE), Frenchay Campus, Bristol, UK.
steve.battle@uwe.ac.uk;
http://go.uwe.ac.uk/battle
PROGRAMME COMMITTEE: Ryan Fellows, Dr Steve Battle FCybs

CFP: Cybernetic and Robotics, at AISB-2025, University of the West of England (UWE), Bristol, 14-16 January 2025

As part of the AISB-2025 Annual Convention 2025 to be held at the University of the West of England, Bristol, 14-16 January 2025
https://aisb.org.uk/aisb-convention-2025-non-members/
The convention is organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB)
https://aisb.org.uk/

OVERVIEW

Cybernetics is a multidisciplinary field that studies systems of communication, control, and feedback in both living organisms and machines. It is primarily concerned with how systems regulate themselves, maintain stability, and adapt to changes by the use of feedback loops. Cybernetics has been applied across many domains, including biology, engineering, and social systems, and its foundational concepts have significantly influenced artificial intelligence, and robotics. Cybernetics provides the theoretical framework for designing robots that can process information, learn from their environment, and adapt their behaviour. Robotics, in turn, applies these principles to create machines capable of performing complex tasks with varying degrees of autonomy, often mimicking biological systems.

TOPICS OF INTEREST

  • Cybernetics and its applications
  • Cognitive Robotics
  • Robot Ethics
  • Enactivism and Embodied Cognition
  • Robotics, Perception and Art
  • Sensorimotor Theory
  • Robot Language and Communication
  • Artificial Life and Cellular Automata

SUBMISSION AND PUBLICATION DETAILS

Submissions may be full papers or extended abstracts and should be sent to steve.battle@uwe.ac.uk with AISB CYBERNETICS AND ROBOTICS in the subject line.
We request that submitted papers are limited to eight pages, and extended abstracts are limited to 500-800 words. Each paper or abstract will receive at least two reviews. Selected papers will be published in the general proceedings of the AISB Convention, with the proviso that at least ONE author attends the symposium, in person, to present the paper and participate in general symposium activities.

IMPORTANT DATES

  1. Extended abstract submission deadline: Extended to December 1, 2024
  2. Notification of acceptance/rejection decisions: December 9, 2024
  3. Final versions of accepted papers (Camera ready copy): January 7, 2025
  4. Convention: 14-16 January 2025

ADDITIONAL INFORMATION

Please note that there will be separate proceedings for each symposium, produced before the convention. Delegates will either receive a memory stick containing the proceedings of all the symposia, or this content will be available online. In previous years there have been awards for the best student paper, and limited student bursaries. These details will be circulated as and when they become available. Authors of a selection of the best papers may be invited to submit an extended version of the work to a journal special issue.

SYMPOSIUM ORGANISERS

SYMPOSIUM CHAIR: Dr Steve Battle, School of Computing and Creative Technologies, University of the West of England (UWE), Frenchay Campus, Bristol, UK.
steve.battle@uwe.ac.uk;
;
http://go.uwe.ac.uk/battle
PROGRAMME COMMITTEE: Prof Martin Smith CEng CPhys FIET FInstP FRSA FRAS FInst LM FRInst SMIEEE FCybS, Dr Steve Battle FCybs

AISB Convention 2025 – Call for Symposia Proposals

AISB Convention 2025 – CALL FOR SYMPOSIA PROPOSALS

priority deadline: 2 August 2024
regular deadline: 30 August 2024

14-16 January 2025, University of the West of England UWE, Bristol, UK
https://aisb.org.uk/aisb-convention-2025-non-members/

The society for the study of Artificial Intelligence and the Simulation of Behaviour (the AISB) annual convention will be held at UWE Bristol, UK on 14-16 January 2025. The convention will follow the same overall structure as previous conventions, namely a set of co-located, parallel symposia, as well as invited and plenary lectures and sessions. We are currently seeking proposals for these symposia. Typical symposia last for one or two days, and can include any type of event of academic benefit: talks, posters, panels, discussions, demonstrations, outreach sessions, etc. Proposals to run symposia are welcomed across all areas of Artificial Intelligence and the Simulation of Behaviour, broadly understood. This includes interdisciplinary topics rooted in the social sciences, arts, and humanities.

Possible themes are listed below (not an exhaustive list):

  • Knowledge Representation
  • Discourse and Dialogue
  • Natural Language Processing
  • Computational Intelligence
  • Computational Theory of Mind
  • Philosophical Foundations of Artificial Intelligence
  • Consciousness and Machine Consciousness
  • Human and Machine Creativity
  • Simulation of Human and Animal Behaviour
  • Neural Networks and Machine Learning
  • Computational Neuroscience
  • Robotics and Robot Ethics
  • Epigenetic and Developmental Robotics
  • Autonomous Agents and Agent Based Computing
  • Enactivism
  • Embodied Cognition
  • Ecological Cognition
  • Embedded [Social] Cognition
  • Extended Cognition
  • Affective Intelligence and Behaviour
  • Embodied Audio-Visual Interaction
  • Style in Text; Textual Forensics
  • Robotics, Perception and Art
  • Live Algorithms
  • Cultural, Social and Media Theory and Computing
  • Sensorimotor Theory
  • Cybernetics and Human Knowing
  • Sensory Substitution
  • Distributed Thinking
  • Robot Language and Communication
  • Proposing a Symposium

Symposia Organisation

Each symposium is organised by its own organising committee. The committee proposes the symposium, defines the area(s) and structure for it, issues calls for abstracts/papers etc., manages the process of selecting submitted papers for inclusion, and compiles an electronic file for inclusion in the convention proceedings. Organisers are welcome and encouraged to invite keynote speakers to their symposia, but they are also encouraged to seek external funding in order to pay keynote speakers’ registration fees and other costs. Symposium organisers and all speakers will be expected to pay registration fees.
Proposers are welcome to submit, or be involved with more than one proposal.
Proposers need not already be members of the AISB (though you will be expected to join the AISB if your symposium proposal is accepted).

Symposium proposals will be handled in two phases: For early approval, apply by the priority deadline. This will ensure the symposium is hosted at AISB 2025 if it meets the basic criteria. Proposals received after the priority deadline but before the standard deadline will undergo the same process, but acceptance is subject to conference venue logistics, such as room availability.

Priority deadline for symposium proposals: 2 August 2024
Notification of acceptance (first round): 9 August 2024
Standard deadline for symposium proposals: 30 August 2024
Notification of acceptance (second round): 6 September 2024

Submissions should consist of the following:

  • A title
  • A 300-1000 word description of the scope of the symposium, and its relevance to the convention along with the nature of the academic events (talks, posters, panels, demonstrations, etc.)
  • Whether the symposium is intended as a sequel to a symposium at a previous AISB conference.
  • An indication of whether submissions will be by abstract, extended abstract or full paper.
  • Your preferences about the intended length of the symposium as a number of days (preferably one or two days, but anything from half a day to three days), together with a brief justification.
  • A description (up to 500 words) of any experience you have in organisation of academic research meetings (please note that it is not a requirement that you have such experience).
  • Names and affiliations of any invited speakers that you may have in mind for the symposium.
  • Your names and full contact details, together with, if possible, names and workplaces of the members of a preliminary, partial programme committee.

Please email your completed proposal to symposia-proposals@aisb.org.uk

Venue

The University of the West of England (UWE Bristol) is thrilled to welcome you to our vibrant and dynamic campus, known for its cutting-edge facilities and strong connections with industry. We hope you enjoy your stay and take advantage of all that UWE Bristol and the beautiful city of Bristol have to offer. UWE Bristol’s main campus is located 2 miles from the M4 and M5 motorways and has good links with Bristol Parkway train station and city centre buses.