The Institutional Stance in Agent-based Simulations

Giovanni Sileno, Alexander Boer, Tom Van Engers

2013

Abstract

This paper presents a multi-agent framework intended to animate scenarios of compliance and non-compliance in a normative system. With the purpose of describing social human behaviour, we choose to reduce social complexity by creating models of the involved agents starting from stories, and completing them with background theories derived from common-sense and expert knowledge. For this reason, we explore how an institutional perspective can be taken into account in a computational framework. Roles, institutions and rules become components of the agent architecture. The social intelligence of the agent is distributed to several cognitive modules, performing the institutional thinking, whose outcomes are coordinated in the main decision-making cycle. The institutional logic is analyzed from a general simulation perspective, and a concrete possible choice is presented, drawn from fundamental legal concepts. As a concrete result, a preliminary implementation of the framework has been developed with Jason.

Paper Citation

in Harvard Style

Sileno G., Boer A. and Van Engers T. (2013). The Institutional Stance in Agent-based Simulations . In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8565-38-9, pages 255-261. DOI: 10.5220/0004257602550261

in Bibtex Style

@conference{icaart13,
author={Giovanni Sileno and Alexander Boer and Tom Van Engers},
title={The Institutional Stance in Agent-based Simulations},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2013},
pages={255-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004257602550261},
isbn={978-989-8565-38-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - The Institutional Stance in Agent-based Simulations
SN - 978-989-8565-38-9
AU - Sileno G.
AU - Boer A.
AU - Van Engers T.
PY - 2013
SP - 255
EP - 261
DO - 10.5220/0004257602550261