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  1. Metacognition and Endorsement.Kourken Michaelian - 2012 - Mind and Language 27 (3):284-307.
    Real agents rely, when forming their beliefs, on imperfect informational sources (sources which deliver, even under normal conditions of operation, both accurate and inaccurate information). They therefore face the ‘endorsement problem’: how can beliefs produced by endorsing information received from imperfect sources be formed in an epistemically acceptable manner? Focussing on the case of episodic memory and drawing on empirical work on metamemory, this article argues that metacognition likely plays a crucial role in explaining how agents solve the endorsement problem.
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  • Carruthers' marvelous magical mindreading machine.Charlie Lewis & Jeremy I. M. Carpendale - 2009 - Behavioral and Brain Sciences 32 (2):152-152.
    Carruthers presents an interesting analysis of confabulation and a clear attack on introspection. Yet his theory-based alternative is a mechanistic view of which neglects the fact that social understanding occurs within a network of social relationships. In particular, the role of language in his model is too simple.
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  • How we know our conscious minds: Introspective access to conscious thoughts.Keith Frankish - 2009 - Behavioral and Brain Sciences 32 (2):145-146.
    Carruthers considers and rejects a mixed position according to which we have interpretative access to unconscious thoughts, but introspective access to conscious ones. I argue that this is too hasty. Given a two-level view of the mind, we can, and should, accept the mixed position, and we can do so without positing additional introspective mechanisms beyond those Carruthers already recognizes.
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  • Paraconsistent logic.Graham Priest - 2008 - Stanford Encyclopedia of Philosophy.
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  • Reward Prediction Error Signals are Meta‐Representational.Nicholas Shea - 2014 - Noûs 48 (2):314-341.
    1. Introduction 2. Reward-Guided Decision Making 3. Content in the Model 4. How to Deflate a Metarepresentational Reading Proust and Carruthers on metacognitive feelings 5. A Deflationary Treatment of RPEs? 5.1 Dispensing with prediction errors 5.2 What is use of the RPE focused on? 5.3 Alternative explanations—worldly correlates 5.4 Contrast cases 6. Conclusion Appendix: Temporal Difference Learning Algorithms.
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  • A Reason Maintenance Perspective On Relevant Ramsey Conditionals.Haythem Ismail - 2010 - Logic Journal of the IGPL 18 (4):508-529.
    This paper presents a Ramsey account of conditionals within the framework of an implemented reason maintenance system. The reason maintenance system is built on top of a deductive reasoning engine based on relevance logic. Thus, the account of conditionals provided is not susceptible to the fallacies of relevance. In addition, it is shown that independently motivated requirements on practical relevant reason maintenance allow us to gracefully circumvent Gärdenfors's triviality result.
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