Wyner and Benn: Introduction to special issue on modelling policy-making

Dr. Adam Wyner of the University of Aberdeen, and Dr. Neil Benn of Fujitsu Laboratories, have published Introduction to special issue on modelling policy-making , forthcoming in Artificial Intelligence and Law .

Here are excerpts of the summaries of the papers, which should be published in the November 2013 issue of the journal:

[...] Balke et al. present a methodology to combine formal institutional frameworks with agent-based modelling (ABM), where the frameworks allow for verification, validation, and the interplay between policies and actors. [...]

Boer et al. consider problems in changing policies in a regulatory framework that arise from implementations or from constraints imposed by the regulatory framework. They propose an approach to regulatory change that is based on model-based problem solving activities. [...]

Lettieri examines the relationships between ICT, computer science and policymaking by using an agent-based social simulation [...]

Scherer et al. note the difficulties of transforming narrative text input from stakeholders to the formal statements required by the agent-based simulations used by analysts. They present a novel approach to transforming narrative texts via conceptual modeling into formal simulation models [...]

Szoke et al. point out various ways in which regulations are complex. In order to facilitate compliance, they present a semantic enrichment approach which decreases the ambiguity of legal texts, increases the likelihood of finding the relevant legal materials, and applies legal reasoners [...]

For more details, please see the complete article, and the forthcoming special issue.

Filed under: Applications, Articles and papers, Technology developments Tagged: Adam Wyner, Agent based simulations, Agent based social simulations, Agent-based modeling, Agent-based policy simulations, Ambiguity in legal language, Ambiguity of legal texts, Artificial intelligence and law, Conceptual modeling, Conceptual modeling and policy, Conceptual policy modeling, Legal agent based social simulations, Legal agent-based simulations, Legal complexity, Legal compliance information systems, Legal compliance systems, Legal information retrieval, Legal problem solving, Legal reasoners, Model-based problem solving, Modeling institutions, Modeling legal complexity, Modeling policies, Modeling regulations, Modeling regulatory change, Modeling regulatory complexity, Neil Benn, Policy information systems, Policy modeling, Policy problem solving, Policy simulations, Reducing ambiguity of legal language, Reducing ambiguity of legal language through semantic enrichment, Regulatory complexity, Regulatory compliance information systems, Regulatory compliance systems, Regulatory information systems, Semantic enrichment of legal texts, Social simulations in policy modeling, Text processing, Transforming narrative texts to formal simulation models, Transforming narrative texts to simulation models



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