Call for papers: 2011 Workshop on Agent model-based reasoning in Law

Subject of the workshop

Modeling agents involves reasoning about agents based on observations of their interaction with the environment and with each other. Given observations of the actions of agents, a modeling agent’s task is to attribute a mental model of their beliefs, plans, intentions, goals, etc.

In the field of law, mental model-based reasoning about agents has always played a central role. In legal theory and legal doctrine we find concepts dealing with intentionality in relation to legal and criminal acts, the expectation of compliance to the law by others, reasonable anticipation of the consequences of one’s actions and omissions, the credibility of witness and expert testimony in relation to motives, etc.

Agent technology has had an increasing impact in the field of AI & Law over the past two decades, influencing it and being influenced by it. Normative multi-agent systems have clearly made an important research contribution to AI & Law. Microtheories about the mind are however ubiquitous in AI & Law, and also find a place in ontologies of law and theories of argumentation and evidence in court.

This workshop seeks to bring together researchers in AI & Law from diverse backgrounds, to share ideas and recent results on agent model-based reasoning in relation to the law. It will aim to identify important research directions and opportunities for synthesis and unification.

Research topics

Any contribution addressing a model of agent behavior in the field of law is relevant. The following areas of research are specifically relevant:

  • Agent roles in law-based institutions and plan recognition based on regulative and constitutive rules
  • Conceptual issues in the formal specification of norm-governed multi-agent systems
  • Monitoring of multi-agent interactions in law enforcement
  • Agent model-based reasoning about evidence from witness and expert testimony
  • Mental concepts in ontologies of law
  • Models of agent interaction in policy simulation

Workshop format

The half-day workshop will consist of a series of research presentations. A plenary discussion is planned, seeking to highlight important research directions and opportunities for synthesis and unification.


Short position papers of 2-4 pages and full research and problem analysis papers of 8-10 pages describing relevant preliminary or completed work are invited. Papers will be formally reviewed. Submissions should follow the Springer Lecture Notes in Computer Science style.

Preliminary work is welcome, as long as it possesses sufficient substance for serving as a basis for discussion. Proceedings of the workshop will be made available online in advance. Selected papers from this workshop will be invited to submit a revision (and perhaps expansion) of the paper for publication in the AI Approaches to the Complexity of Legal Systems collection of the Springer Lecture Notes in Computer Science series. We will also consider the possibility of a CEUR proceedings, if – after retraction of papers resubmitted to AICOL without considerable expansion – CEUR requirements are met for the remainder, so that these papers can be referenced by ISSN.


Alexander Boer, University of Amsterdam, The Netherlands
Guido Boella, University of Torino, Italy
Giovanni Sartor, European University Institute, Italy

Program Committee

Katie Atkinson
Trevor Bench-Capon
Floris Bex
Guido Boella
Cristiano Castelfranchi
Mehdi Dastani
Guido Governatori
Rinke Hoekstra
Jeremy Pitt
Giovanni Sartor
Munindar P. Singh
Leon van Der Torre