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  1. Two Kinds of Knowledge in Scientific Discovery.Will Bridewell & Pat Langley - 2010 - Topics in Cognitive Science 2 (1):36-52.
    Research on computational models of scientific discovery investigates both the induction of descriptive laws and the construction of explanatory models. Although the work in law discovery centers on knowledge‐lean approaches to searching a problem space, research on deeper modeling tasks emphasizes the pivotal role of domain knowledge. As an example, our own research on inductive process modeling uses information about candidate processes to explain why variables change over time. However, our experience with IPM, an artificial intelligence system that implements this (...)
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    Emerging AI & Law approaches to automating analysis and retrieval of electronically stored information in discovery proceedings.Kevin D. Ashley & Will Bridewell - 2010 - Artificial Intelligence and Law 18 (4):311-320.
    This article provides an overview of, and thematic justification for, the special issue of the journal of Artificial Intelligence and Law entitled “E-Discovery”. In attempting to define a characteristic “AI & Law” approach to e-discovery, and since a central theme of AI & Law involves computationally modeling legal knowledge, reasoning and decision making, we focus on the theme of representing and reasoning with litigators’ theories or hypotheses about document relevance through a variety of techniques including machine learning. We also identify (...)
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    Attentional Strategies and the Transition From Subitizing to Estimation in Numerosity Perception.Gordon Briggs, Andrew Lovett, Will Bridewell & Paul F. Bello - 2023 - Cognitive Science 47 (9):e13337.
    The common view of the transition between subitizing and numerosity estimation regimes is that there is a hard bound on the subitizing range, and beyond this range, people estimate. However, this view does not adequately address the behavioral signatures of enumeration under conditions of attentional load or in the immediate post-subitizing range. The possibility that there might exist a numerosity range where both processes of subitizing and estimation operate in conjunction has so far been ignored. Here, we investigate this new (...)
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