【情報学セミナー】Computational Cognitive Modeling and Its Implications for Informatic [1/9（金）共11 13:00～]

1/9 (金) 午後に千葉工業大学 変革センターのJoseph Austerweil教授を招いたセミナーを実施します。途中入退室を含め、一部のみでのご参加も歓迎いたします。会場まで直接お越しください。

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Shizuoka University Informatic Seminar
Computational Cognitive Modeling and Its Implications for Informatics
Lecture by Professor Joseph Austerweil (Chiba Institute of Technology)

Date and Time: January 9, 2026 (Fri.), 1:00–5:30 PM
Location: Shizuoka University Hammatsu Campus, Room 11 of the Lecture building (811)（共11）
Online access:
https://us02web.zoom.us/j/81490265328?pwd=MOxGbKdecN28KwCBoiHacIq1zs97eZ.1&jst=3
Language: English
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1:00 PM: Knowledge representation and retrieval over a lifetime
Joseph Austerweil

Abstract:
In this talk, I focus on one facet of my research program: knowledge
retrieval. I formulate, describe, and extend a novel model that
retrieves items by randomly following associations between items in
memory. I show how this model can capture patterns in how people
retrieve items from a category—patterns that were previously used to
argue that memory search must be guided by a strategic, rather than a
random, process. Further, I show that for a random search over
knowledge to capture human memory retrieval, knowledge must be
represented in a structured manner (e.g., as a network), and that a
purely spatial representation is insufficient. Extending this model, I
develop and empirically validate a novel machine learning method for
efficiently estimating network representations of groups and
individuals. I then apply this method to reveal differences between
the knowledge representations of cognitively impaired older adults and
matched controls.

2:30 PM: Introduction to the Shizuoka University Applied Cognitive
Modeling Laboratory
Junya Morita

This talk introduces the Applied Cognitive Modeling Laboratory at
Shizuoka University. Our research focuses on computational models of
human cognition, integrating cognitive architectures and machine
learning to study how people represent, retrieve, and regulate
knowledge and goals over time. We combine experimental studies with
real-world behavioral data and extend our models toward applied
systems such as adaptive task-management and metacognitive support
tools.

3:30 PM: General Discussion
5:30 PM: Social gathering (dinner around Hamamatsu Station)