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A video sponsored by the society discusses Searle's Chinese Room Argument (CRA) and the heated debates surrounding it. In this video, which is accessible to the general public and those with interest in AI, Olly's Philosophy Tube ...


Erden in AI roundtab...

On Friday 4th September, philosopher and AISB member Dr Yasemin J Erden, participated in an AI roundtable at Second Home, hosted by Index Ventures and SwiftKey.   Joining her on the panel were colleagues from academia and indu...


AISB Convention 2016

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2016 Convention will be held at the Uni...


Bishop and AI news

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Connection Science

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Al-Rifaie on BBC

AISB Committee member and Research Fellow at Goldsmiths, University of London, Dr Mohammad Majid al-Rifaie was interviewed by the BBC (in Farsi) along with his colleague Mohammad Ali Javaheri Javid on the 6 November 2014. He was a...


AISB YouTube Channel

The AISB has launched a YouTube channel: ( The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...



AISB event Bulletin Item

CALL FOR ABSTRACTS: AISB Workshop - Modelling Organisational Behaviour and Social Agency, 27-28 Jan 2014, Bournemouth, UK


The event is hosted by Bournemouth University, Executive Business Centre, 89 Holdenhurst Road, BH8 8EB, 
Bournemouth, UK

Agent-based models (ABMs) allow to observe the com-
plexity of a system's interactions in the making. This is of
interest for the social sciences because of a presumed onto-
logical correspondence of agents with the atoms of social life
(Squazzoni, 2012). An agent can be anything from states
Axelrod (1995) to socio-cultural structures (e.g., Neumann,
2008, 2010), to the environment (Drogul et al., 1995). This
methodological vagueness can be the scrutinised with the
theoretical question of what is the basic unit for the anal-
ysis of social systems in-between culture, organisation, in-
teractions, and the body (e.g., Gilbert, 2008; Gilbert &
Troitzsch, 2005). This is of particular relevance for the
analysis of organisations (Fioretti, 2013; Miller & Lin, 2010;
Secchi, 2013; Zhang & Zhang, 2007).
We would like to bring together a group of people that
is interested in any aspect of ABM of social agents in or-
ganisations. We invite submissions that seek to examine
the applications, structure, how-to, potentials, and philo-
sophical and theoretical underpinnings of ABMs applied
to organisational behaviour and social agency. The work-
shop welcomes contributions from any discipline, including
but not limited to psychology, sociology, management, com-
puter science, cognitive science, artificial intelligence, eco-
nomics, philosophy. Submissions may range from empirical
investigations to theoretical and philosophical studies.
The agenda of the workshop is set by but not restricted to
questions such as the following:
- How do individuals process information, internalise
norms, behaviours and, more broadly, set exchange
mechanisms with external resources?
- How may this be modelled as a socially distributed cog-
nitive system (Hutchins, 1995) that supports socially-
extended decision making (i.e., `docility' Simon, 1993;
Secchi & Bardone, 2009)?
- What are the advantages to analyse social and organi-
sational phenomena such as conict, unethical and ir-
rational behaviour, misinterpretation of norms, band-
wagon or snob effects via ABMs and how would this
advance our knowledge?
- What is the link, if any, between distributed cognition
(Hutchins, 1995) and ABMs?
Abstracts of up to 1,000 words (excluding references, ta-
bles, figures, etc.), double-space, standard font should
be submitted by November 3, 2013 , midnight, Lon-
don time. Recommendations on submitted abstracts will
be notified by December 1, 2013. Please send your
manuscript as an email attachment to Davide Secchi, ex-, subject line: "Paper Sub-
mission - ABM Workshop." Please feel free to email with
any questions you might have on proposals, fit, topics, pro-
cess, etc.
If your proposal is accepted, registration is expected by De-
cember 15 . All events sponsored by the AISB require par-
ticipants to become members of the society. Information on
membership can be found here .
We see this as a way to thank AISB for supporting the
Registration to the workshop is made via the regis-
tration form https://bournemouthbusiness.qualtrics.
com/SE/?SID=SV_eaqPFLcXymUjb7f . When registering you
will be asked to provide the AISB membership number as
proof that you are member and can attend the workshop.
Summary of important dates:
- November 3, 2013|submission deadline
- December 1, 2013|notice of acceptance
- December 15, 2013|registration deadline
- January 27-28, 2014|workshop
The plan is to publish the papers presented at the work-
shop in a book, edited by Davide Secchi and Martin Neu-
mann. If the workshop is successful, we may extend it to a
series of events and publication initiatives. This is a tenta-
tive schedule of what happens after the workshop:
-  March 16, 2014|submission of full papers
-  June 15, 2014|peer reviews due
-  July 13, 2014|revised chapters due
-  November-December 2014|publication (depends on
the publishing company)
Axelrod, R. (1995). A model of the emergence of new political
actors. In N. Gilbert & R. Conte (Eds.), Arti_cial Societies:
The Computer Simulation of Social Life. London: UCL Press.
Drogul, A., Corbara, B., & Lalande, S. (1995). MANTA: New
experimental results on the emergence of (arti_cial) ant soci-
eties. In N. Gilbert & R. Conte (Eds.), Arti_cial Societies:
The Computer Simulation of Social Life. London: UCL Press.
Fioretti, G. (2013). Agent-based simulation models in organi-
zation science. Organizational Research Methods, 16 (2), 227{
Gilbert, N. (2008). Agent-Based Models, volume 153 of Quan-
titative Applications in the Social Sciences. Thousand Oaks,
CA: Sage.
Gilbert, N. & Troitzsch, K. G. (2005). Simulation for the Social
Scientist. Maidenhead, UK: Open University Press.
Hutchins, E. (1995). Cognition in the Wild. MIT Press: Cam-
bridge, MA.
Miller, K. D. & Lin, S.-J. (2010). Di_erent truths in di_erent
worlds. Organization Science, 21 (1), 97{114.
Neumann, M. (2008). Homo socionicus: A case study of sim-
ulation models of norms. Journal of Arti_cial Societies and
Social Simulation, 11 (4), 6.
Neumann, M. (2010). Norm internalisation in human and ar-
ti_cial intelligence. Journal of Arti_cial Societies and Social
Simulation, 13 (1), 12.
Secchi, D. (2013). Agent-based models for management: An
overview of advantages with one example. In European
Academy of Management Annual Conference.
Secchi, D. & Bardone, E. (2009). Super-docility in organizations.
International Journal of Organization Theory and Behavior,
12 (3), 339{379.
Simon, H. A. (1993). Altruism and economics. American Eco-
nomic Review, 83 (2), 156{161.
Squazzoni, F. (2012). Agent-Based Computational Sociology.
Chichester: Wiley.
Zhang, T. & Zhang, D. (2007). Agent-based simulation of con-
sumer purchase decision-making and the decoy e_ect. Journal
of Business Research, 60, 912{922.