Author: Luc P. Beaudoin

Head of CogZest. Author of Cognitive Productivity books. Co-founder of CogSci Apps Corp. Adjunct Professor of Education, Simon Fraser University. Why, Where, and What I Write. See About Me for more information.

CUP’A and The Future of Text: On Assessing and Selecting Information

Earlier this week I submitted a brief chapter called “Beyond the CRAAP test and other introductory guides for assessing knowledge resources: The CUP’A framework” for publication in the 2nd edition of the Future of Text book edited by Frode Hegland. Here’s Table 1 of the chapter:

Table 1

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Layering in the Mind-brain and Why It Matters: An Exchange Between Paul Smolensky and Myself

Guillaume Pourcel emailed me recently saying

I’m quite sure I spotted you in a video at SFU (recognize your voice and your ideas!): https://youtu.be/GGuBz63snLU?t=2733 (45:35). It’s a nice talk on the integration of connectionists and symbolic ideas w/ virtual machines, something I’m quite interested and my PhD advisor did some really nice work on in this area.

Reverse Engineering the Human Mind as a Way to Better Understand Ourselves and Each Other

Last summer, I gave a guest lecture in Dr. Angelica Lim’s course on Affective Computing at the Department of Computer Science of Simon Fraser University. I said I’d publish the presentation on YouTube, so here it finally is:

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Seven Tips and Some Great Apps for Mastering Knowledge: Technology-enhanced learning

Some students and professors are heading “back to school”. With Covid, learning with technology has become more important than ever. So today, Smile published an original article of mine: Technology-Enhanced Learning: 6 Ways to Master New Info. Here, I summarize and extend that article.

The tips are:

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An integrative design-oriented research approach to autonomous agents

updated 2021-03-22: I’ve finally added the video for this talk, above.

Here are some notes about a guest lecture I will give in Dr. Angelica Lim’s course on Affective Computing (Dpt of Computer Science) at SFU on 2020-07-16. (Twitter handle)

I aim to inspire students about the importance, enjoyability and challenges of trying to understand entire minds of autonomous agents, using an integrative design-oriented approach. I will present several interesting problems and functions that call for such an understanding, and focus mainly on mental perturbance.
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