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  • ๐ŸŽž ICYMI: CogSci 2021 presentations on time, desire, quantity

    At this year’s CogSci 2021, the Reasoning Lab presented recent work, including: Laura Kelly’s research on how people build explanations to resolve inconsistencies in temporal premises (paper, video) Hillary Harner’s work on how they distinguish between desires and intentions (paper, video) Gordon Briggs and Hillary Harner’s work on preferences in people’s quantified descriptions of groups… Continue reading

  • ๐ŸŽž Recent work by the R Lab at ICT 2021

    The Reasoning Lab presented work on how people think and reason about time, durations, causality, bouletics, kinematics, and quantifiers at this year’s International Conference on Thinking 2021. For those who couldn’t make the conference, I’ve included an archive of the presentations here: ๐ŸŽž Directional biases in durative inference presented by Laura Kelly ๐ŸŽž The consistency… Continue reading

  • ๐Ÿ“ƒ mReasoner reasoning engine detailed in Psych Review

    Phil Johnson-Laird and I recently published a deep dive into the mReasoner computational cognitive model and the new theory of reasoning about properties that it implements. We describe a new model based theory of reasoning about quantifiers, such as “all”, “some”, and “most”, as well as a series of simulation studies that show how the… Continue reading

  • ๐Ÿ“ƒ Frontiers paper on theories of omission

    I published a paper in Frontiers in Psychology with a team of researchers at NRL that includes Paul Bello, Gordon Briggs, Hillary Harner, and Christina Wasylyshyn on how people reason about omissive causations. They tend to reason with iconic possibilities that yield temporal inferences, and they tend to reason with one possibility at a time,… Continue reading

  • ๐Ÿ“ƒ Paper on norms and future causation out in Cognitive Science

    In a project lead by Paul Henne (Lake Forest College), we recently published a paper in Cognitive Science about how norms affect prospective causal judgments, i.e., judgments about whether a particular situation can cause a future event. Here’s the abstract: People more frequently select norm-violating factors, relative to norm-conforming ones, as the cause of some… Continue reading

  • ๐Ÿ“ƒ How people assess whether an explanation is “complete”

    All explanations are incomplete, but some explanations are more complete than others — this is the central result of our recent work and some other research into explanatory reasoning (e.g., Zemla et al., 2017). Joanna Korman and I describe a new theory of explanatory reasoning now out in Acta Psychologica. Here’s the title: All explanations… Continue reading

  • ๐Ÿ“ƒ QJEP paper on domino effects in causation

    Our paper on domino effects in causation is now out in the Quarterly Journal of Experimental Psychology — the paper shows that when you contradict a node in a causal chain (e.g., A in A caused B and B caused C), the rest of the chain topples like falling dominoes. The results support the idea… Continue reading

  • ๐Ÿ“ƒ New JoCN on temporal reasoning and durations

    A new paper by Laura Kelly, myself, and Phil Johnson-Laird (link) describes systematic reasoning errors when people assess the consistency of durative temporal relations, as in the sentence: the sale happened during the convention. The paper is out in the Journal of Cognitive Neuroscience for their special issue titled “Mental Models in Time”, edited by… Continue reading

  • ๐Ÿ“ƒ ICYMI: The R Lab @ CogSci 2020

    The Reasoning Lab presented work at the CogSci 2020 virtual conference this year, including research on temporal reasoning, reasoning about desire, genericity and semantic memory, teleology and agency, and quantification. Here’s an archive of the presentations: Gordon Briggs and Hillary Harner speak about how people generate descriptions that include quantifiers Laura Kelly talks about systematic… Continue reading

  • ? Talk on interactivity at RSS 2020

    I gave a talk titled, “Leveraging conceptual constraints for interactive robotics” at an RSS 2020 workshop, AI & Its Alternatives in Assistive and Collaborative Robotics: Decoding Intent, organized by Deepak Gopinath, Ola Kalinowska, Mahdieh Nejati, Katarina Popovic, Brenna Argall, and Tood Murphey. Here’s the video of the talk: Continue reading