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  1. AI and the conquest of complexity in law.L. Wolfgang Bibel - 2004 - Artificial Intelligence and Law 12 (3):159-180.
    The paper identifies some of the problems with legal systems and outlines the potential of AI technology for overcoming them. For expository purposes, this outline is based on a simplified epistemology of the primary functions of law. Social and philosophical impediments from the side of the legal community to taking advantage of the potential of this technology are discussed and strategic recommendations are given.
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  • A review of proposed principles of causal non-monotonic reasoning. [REVIEW]Patrick Marchisella - 2020 - Australasian Journal of Logic 17 (3):14-1.
    Within Non-monotonic Reasoning, numerous principles of causal reasoning have been proposed. Many of these principles have been viewed as desirable in formalisms that reason with causality, and have been widely adopted throughout the literature. We provide a critique of these principles, evaluate their suitability for characterising and formulating causal non-monotonic reasoning, and find that most are unsuitable. Further, we discuss a new approach to causal non-monotonic reasoning motivated by how humans typically reason with causality.
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  • Formalizing GDPR Provisions in Reified I/O Logic: The DAPRECO Knowledge Base.Livio Robaldo, Cesare Bartolini, Monica Palmirani, Arianna Rossi, Michele Martoni & Gabriele Lenzini - 2020 - Journal of Logic, Language and Information 29 (4):401-449.
    The DAPRECO knowledge base is the main outcome of the interdisciplinary project bearing the same name. It is a repository of rules written in LegalRuleML, an XML formalism designed to be a standard for representing the semantic and logical content of legal documents. The rules represent the provisions of the General Data Protection Regulation, the new Regulation that is significantly affecting the digital market in the European Union and beyond. The DAPRECO knowledge base builds upon the Privacy Ontology, which provides (...)
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