Content revision 4e771eaf0390cc87b6c7c6fd8469f3508f6ceeec7119472e6c1ccf17e2e1e5d2 7 matching sources. Offset 0. Limit 20. ## Research I've Been Part Of Research Source ID research:overview Section research Original https://www.henryw.me/#/research Read https://ask-henry.whenry6688.workers.dev/agent/sources/research%3Aoverview?format=text I study how people and AI systems learn from experience, represent knowledge and use it to think and act. As AI becomes part of everyday thinking, I investigate how it shapes the understanding, judgement and abilities people develop. I study how people learn from experience and use what they know. ## The Resolving Power of Transfer Experiments: When Can Designs Distinguish Accounts of Generalization? Research Source ID research:transfer Section research Original https://www.henryw.me/#/research#transfer Read https://ask-henry.whenry6688.workers.dev/agent/sources/research%3Atransfer?format=text We developed a framework that links models of human generalisation to the design of experiments. I construct models by varying both how a learner represents information and how the learner uses it to respond. The same representation can support rule application, comparison with a category prototype or retrieval of remembered examples. ## BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval Research Source ID research:bright Section research Original https://www.henryw.me/#/research#bright Read https://ask-henry.whenry6688.workers.dev/agent/sources/research%3Abright?format=text Finding a useful document can depend on first understanding what a problem requires. We developed BRIGHT to evaluate this reasoning-intensive retrieval, using 1,384 real queries across domains including economics, psychology, mathematics and coding. I contributed biology and psychology data and reproduced programming examples to work through the questions and the material needed to answer them. ## Early Epistemic Settlement in AI-Assisted Writing Research Source ID research:fittedAssistance Section research Original https://www.henryw.me/#/research#structure-settles-thought Read https://ask-henry.whenry6688.workers.dev/agent/sources/research%3AfittedAssistance?format=text In trying to finish a passage, a writer may connect her material in ways that change both the argument she can make and the demands it needs to meet. I examined what happens when AI supplies a passage that resolves the immediate difficulty while this work is still unfolding. The writer can understand the answer, judge it adequate, and move on before discovering what her own attempt could have made possible. ## Functional Encoding and Representational Binding in Componential Transfer Research Source ID research:encoding Section research Original https://www.henryw.me/#/research#encoding Read https://ask-henry.whenry6688.workers.dev/agent/sources/research%3Aencoding?format=text Why can a learner demonstrate a rule during training yet fail to use it on a new item? We built a computational account in which transfer depends on how useful components are encoded and bound together. Functional encoding determines which components enter the representation used to generate a response. ## Humans Disengage, Reasoning Models Persist: Separating Difficulty Registration from Deliberation Allocation Research Source ID research:humansDisengage Section research Original https://www.henryw.me/#/research#humansDisengage Read https://ask-henry.whenry6688.workers.dev/agent/sources/research%3AhumansDisengage?format=text I studied how people and large reasoning models allocate effort once a problem becomes difficult. Across visual abstraction, intuitive physics and relational reasoning, I analysed human response times alongside the length and content of reasoning traces, the text models generate before answering. Comparing attempts on the same problems let me separate sensitivity to difficulty from the allocation of further effort. ## Persistent Priors, Preserved Targets: A Stroop-Style Paradigm for Lexical Override Research Source ID research:priorsPersist Section research Original https://www.henryw.me/#/research#priorsPersist Read https://ask-henry.whenry6688.workers.dev/agent/sources/research%3ApriorsPersist?format=text I investigated how language models follow a new instruction while established knowledge continues to influence their responses. I designed a Stroop-style task that puts a familiar association in conflict with a temporary definition. A prompt might define doctor as forest , while the usual association with hospital competes with that instruction.