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Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Pre-Print Excerpt from "Origins and Future of Self-Knowledge: Epistemic Agency, 4E Metacognition, and Artificial Intelligence" (10%)

Authors: Dorsch, John;

Pre-Print Excerpt from "Origins and Future of Self-Knowledge: Epistemic Agency, 4E Metacognition, and Artificial Intelligence" (10%)

Abstract

How did humans come to know themselves—not just to have thoughts, but to reflect on those thoughts and ask whether they’re true or justified? And as our world slowly integrates a new kind of intelligence—non-human, non-animal, and increasingly entangled with our thinking—what might this mean for the future of self-knowledge? What is the relationship between artificial intelligence and our capacity to justify what we believe? Are AI-curated information environments enhancing this capacity—or hijacking it? Could machines themselves ever acquire self-knowledge one day, making it no longer a uniquely human achievement? This book explores the origins and future of self-knowledge, arguing that our ability to evaluate beliefs in light of justification and truth depends on embodied feelings—like confidence and doubt—that guide how we monitor our thinking. Far from being private or internal, these feelings are shaped by social interactions and play a key role in how we learn to reason, justify, and take responsibility for our beliefs. At the heart of this story is the idea that self-knowledge isn’t something we’re born with, nor something we achieve in isolation. It emerges through social scaffolding: the shared practices, expectations, and forms of accountability through which communities cultivate epistemic agency. Drawing from neuroscience, comparative and developmental psychology, philosophy of mind, and the ethics of technology, the book traces how these processes make self-knowledge possible—and where they might be leading us next: toward a more intellectually virtuous or ignorant society, or perhaps even toward a world in which machines come to know themselves.

THIS IS AN PRE-PRINT EXCERPT OF THE FULL MONOGRAPH, "Origins and Future of Self-Knowledge: Epistemic Agency, 4E Metacognition, and Artificial Intelligence." It includes the Preface, Table of Contents, References, Chapter 9: “Mindshaping a Self-Knowing Machine: Can a Robot Know Itself?”, and Conclusions. It is part of a manuscript that is currently under peer review and contracted for publication by Springer Nature. It is shared solely for discussion purposes. Please do not cite, quote, or circulate without explicit permission from the author. This excerpt constitutes no more than 10% of the full manuscript in compliance with Springer Nature’s Publishing Agreement (Appendix “Rightsholder’s Use of Manuscript Versions: Preprint”). A complete version is available upon request. Forthcoming Publication:Dorsch, John. (202X). Origins and Future of Self-Knowledge. Epistemic Agency, 4E Metacognition, and Artificial Intelligence. Springer Nature.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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