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AISB event Bulletin Item

CALL FOR ABSTRACTS: AISB Workshop: Modelling Organisational Behaviour and Social Agency, 27-28 Jan 2014, Bournemouth (U.K.),

The Society for the Study of Articial Intelligence and the Simulation of
Behaviour (AISB)

Workshop 27-28 January 2014

Call for Abstracts

Modelling Organisational Behaviour and Social Agency

Workshop coordinators: Davide Secchi and Martin Neumanny

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 

- 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 event.

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 

-  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{ 242.

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 

Secchi, D. & Bardone, E. (2009). Super-docility in organizations. 
International Journal of Organization Theory and Behavior, 12 (3), 

Simon, H. A. (1993). Altruism and economics. American Eco- nomic Review, 
83 (2), 156{161.

Squazzoni, F. (2012). Agent-Based Computational Sociology. Chichester: 

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.