## Tags - Part of: - Related: - Includes: - Additional: ## Definitions - Epistemology is the branch of philosophy concerned with knowledge. Epistemologists study the nature, origin, and scope of knowledge, epistemic justification, the rationality of belief, and various related issues. ## Main resources - <iframe src="https://en.wikipedia.org/wiki/Epistemology" allow="fullscreen" allowfullscreen="" style="height:100%;width:100%; aspect-ratio: 16 / 5; "></iframe> ## Landscapes - [[Empiricism]] - [[Predictive coding]] epistemology = maximizing predictivity of models, which [[Mathematics]] excels at, all models are wrong but some are more predictive in their domain than others ## Deep dives - What one human knows is an infinitesimal fraction of what humanity knows, and what humanity knows is an infinitesimal fraction of what there is to know. [[2e3fe4a61b668792d60568dd34906331_MD5.jpeg|Open: Pasted image 20240603015139.png]] ![[2e3fe4a61b668792d60568dd34906331_MD5.jpeg]] ## Brainstorming i just run on this heuristic of making more and more predictive models of everything and the the more predictive models I have in various domains, the closer they are to scientific "truth" outside of that, it feels like you can postulate an infinite amount of arbitrary axioms, arbitrary stories, arbitrary narratives The more perspectives I accumulate, the more contradictions I get in my world model, and that inhibits my decision making And any attempt to resolve the contradictions under some heuristic basically closes you internally into a more narrow perspective or set of perspectives I guess one approach to not introduce contradictions in your world model is to do attentive compression such that you ignore as much data as possible that contradicts your existing perspectives But that gets you into all sorts of closemindedness and selective confirmation bias traps, that you can never escape to some degree anyway i think its a great heuristic to never 100% believe the brain's beliefs, being a good bayesian, a weapons grade bayeisan “ I'm also often pretty instrumentalist, my fundamental epistemology is often: All models are wrong but some predict empirical data better than others as they approximate the highly nuanced complexity of reality better than others Standard model is so solid, but still incomplete, and I suspect that we will always have approximations of the universe in that domain, and that we will probably always miss something, because we're finite limited modellers with our collective specialized limited cognitive architectures with emerging diversity of AI systems So for example sometimes its useful to model some phenomena as a spectrum, and sometimes as discrete categories, as both can give different kinds of predictions, and I take as more true that model, which can predict more empirical data and with better accuracy " ## Written by AI (may include factually incorrect information) - Epistemology, one of the core areas of philosophy, is concerned with the nature, scope, and validity of knowledge. It deals with questions about what knowledge is, how it is acquired, and how we can be sure about what we know. Here's a comprehensive list of various branches and sub-disciplines within epistemology: ### 1. Theories of Knowledge - Empiricism - Rationalism - Constructivism - Pragmatism - Infinitism - Foundationalism - Coherentism - Reliabilism - Contextualism - Externalism and Internalism ### 2. Sources of Knowledge - Perception - Reason and Rationality - Intuition - Testimony - Memory - Conscious Experience - Innate Knowledge ### 3. Skepticism - Global Skepticism - Local Skepticism - Cartesian Skepticism - Pyrrhonian Skepticism - Skepticism about the External World - Moral Skepticism - Religious Skepticism ### 4. The Nature of Knowledge - Propositional Knowledge (Knowledge That) - Non-Propositional Knowledge (Knowledge How, Knowledge By Acquaintance) - The Gettier Problem - Analysis of Knowledge - Truth Theories (Correspondence, Coherence, Pragmatic) - Belief Theories ### 5. Epistemic Justification - Internalist Theories - Externalist Theories - Justified True Belief - Evidentialism - Virtue Epistemology - Bayesian Epistemology ### 6. Social Epistemology - Collective Knowledge - Social Construction of Knowledge - Testimonial Knowledge - Epistemic Injustice - Feminist Epistemology - Peer Disagreement - Distributed Cognition ### 7. Epistemology of [[Science]] - Scientific Method - Confirmation and Falsification - Theoretical Virtues - Scientific Realism and Anti-Realism - Models and Simulations - Paradigms and Scientific Revolutions ### 8. Epistemology of Religion - Faith and Reason - Revelation - Religious Experience - Miracles - Divine Hiddenness ### 9. Epistemology of Ethics - Moral Knowledge - Moral Intuitionism - Ethical Naturalism and Non-Naturalism - Metaethical Skepticism ### 10. Epistemology of Logic and Mathematics - A Priori Knowledge - Necessity and Analyticity - Mathematical Platonism - Intuitionism in Mathematics ### 11. Epistemology of Perception - Direct and Indirect Realism - Phenomenalism - Sense-Data Theory - Disjunctivism ### 12. Epistemology in the Context of Artificial Intelligence - Knowledge Representation - Machine Learning and Epistemic Status - Computational Epistemology ### 13. Metacognition and Self-Knowledge - Introspection - Metacognitive Knowledge - Self-Deception - Epistemic Virtues and Vices ### 14. Epistemology of History - Historical Knowledge - Narrative and Explanation in History - Historical Relativism ### 15. Epistemology of [[Language]] - Meaning and Understanding - Linguistic Turn in Epistemology - Semantics and Pragmatics Epistemology is a constantly evolving field, with new theories and debates emerging in response to changing intellectual landscapes. It intersects with many other areas of philosophy and is fundamental in shaping our understanding of knowledge in various domains.