Post-Gettier theories of knowledge emerged to address the shortcomings of the traditional tripartite theory. These approaches, like causal and tracking theories , aim to provide more robust definitions of knowledge that can withstand Gettier-style counterexamples.
Reliabilism , infallibilism , contextualism , and virtue epistemology offer diverse perspectives on what constitutes knowledge. Each theory grapples with the complexities of justification, truth, and belief, seeking to refine our understanding of how we acquire and validate knowledge.
Causal and Tracking Theories
Causal Theory and False Lemmas
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Causal theory of knowledge proposes knowledge results from a causal connection between the fact and the belief
Alvin Goldman developed this theory to address Gettier problems
Requires beliefs to be caused by the facts they are about
Addresses some Gettier cases by eliminating beliefs based on false premises
No false lemmas principle ensures intermediate steps in reasoning are true
Challenges arise with cases of deviant causal chains (strange coincidences leading to true beliefs)
Tracking Theories of Knowledge
Tracking theories focus on the relationship between beliefs and truth across different scenarios
Robert Nozick 's theory requires beliefs to "track" the truth in nearby possible worlds
Sensitivity condition stipulates if a proposition were false, the subject would not believe it
Adherence condition requires if a proposition remains true in slightly different circumstances, the subject would still believe it
Aims to account for our intuitions about knowledge in various counterfactual situations
Faces difficulties with certain counterexamples (necessary truths, skeptical scenarios)
Reliabilism and Infallibilism
Reliabilism and its Variants
Reliabilism posits knowledge stems from beliefs formed through reliable cognitive processes
Alvin Goldman proposed this theory as an alternative to traditional justification requirements
Process reliabilism focuses on the reliability of the belief-forming method
Agent reliabilism considers the overall reliability of the cognitive agent
Addresses Gettier problems by emphasizing the importance of reliable belief formation
Faces challenges with the generality problem (defining appropriate levels of generality for processes)
Infallibilism and Safety
Infallibilism contends knowledge requires absolute certainty or infallible justification
Historically associated with philosophers like Descartes
Modern epistemologists generally reject strict infallibilism as too demanding
Safety condition emerges as a more moderate alternative to infallibilism
Safety requires that in nearby possible worlds where the subject believes the proposition, it is true
Duncan Pritchard argues safety is necessary for knowledge
Differs from sensitivity by focusing on nearby worlds where the belief is held, rather than where the proposition is false
Contextualism and Virtue Epistemology
Contextualism in Epistemology
Contextualism proposes the truth conditions for knowledge attributions vary based on context
Keith DeRose and David Lewis developed influential versions of contextualism
Aims to resolve skeptical paradoxes by allowing knowledge standards to shift
Ordinary contexts have lower standards for knowledge than skeptical contexts
Invariantism , the opposing view, maintains fixed standards for knowledge across contexts
Subject-sensitive invariantism (Jason Stanley) attempts to reconcile contextualist insights with invariantism
Virtue Epistemology and Knowledge-First Approaches
Virtue epistemology focuses on intellectual virtues or cognitive character traits
Ernest Sosa 's virtue reliabilism combines reliabilism with virtue-based approaches
Linda Zagzebski 's pure virtue epistemology defines knowledge in terms of acts of intellectual virtue
Aims to provide a unified account of epistemic evaluation (knowledge, understanding, wisdom)
Knowledge-first epistemology , proposed by Timothy Williamson , takes knowledge as the fundamental epistemic notion
Reverses traditional analysis by defining other epistemic concepts in terms of knowledge
Challenges the assumption that knowledge can be analyzed into more basic components