搜索结果: 1-15 共查到“哲学 Bayesian”相关记录15条 . 查询时间(0.116 秒)
Can Bayesian agents always be rational?A principled analysis of consistency of an Abstract Principal Principle
Bayesianism Principal Principle interpretation of probability
2016/6/15
The paper takes the Abstract Principal Principle to be a norm demanding that subjective degrees of belief of a Bayesian agent be equal to the objective probabilities once the agent has conditionalized...
Reasons for (prior) belief in Bayesian epistemology
Bayesian epistemology prior probabilities credences reasons for belief principle of insufficient reason belief revision belief formation
2016/6/12
Bayesian epistemology tells us how we should move from prior to posterior beliefs in light of new evidence or information, but says little about where our prior beliefs come from. It offers few resour...
Bayesian Orgulity
Bayesianism
2016/6/12
A piece of folklore enjoys some currency among philosophical Bayesians, according to which Bayesian agents that, intuitively speaking, spread their credence over the entire space of available hypothes...
Objective Bayesian calibration and the problem of non-convex evidence
Objective Bayesian epistemology convex sets imprecise probabilities
2016/5/31
Jon Williamson's Objective Bayesian Epistemology relies upon a calibration norm to constrain credal probability by both quantitative and qualitative evidence. One role of the calibration norm is to en...
While Bayesian analysis has enjoyed notable success with many particular problems of inductive inference, it is not the one true and universal logic of induction. I review why the Bayesian approach fa...
The Evolution of Bayesian Updating
evolution Bayesian conditionalization updating expected utility rationality
2016/5/30
An evolutionary basis for Bayesian rationality is suggested, by consid-ering how natural selection would operate on an organism's `policy' for choosing an action depending on an environmental signal. ...
Bayesian Epistemology and Having Evidence
bayesian dutch book evidence rationality reliabilism
2014/11/10
Bayesian Epistemology is a general framework for thinking about agents who have beliefs that come in degrees. Theories in this framework give accounts of rational belief and rational belief change, wh...
A probabilistic logic of induction is unable to separate cleanly neutral support from disfavoring evidence (or ignorance from disbelief). Thus, the use of probabilistic representations may introduce s...
On the Alleged Impossibility of Bayesian Coherentism
Bayesian Coherentism coherence coherence measures
2008/4/22
The success of Bovens and Hartmann’s recent "impossibility result" against Bayesian Coherentism relies upon the adoption of a specific set of ceteris paribus conditions. In this paper, I argue that th...
Resolving the Bayesian Problem of Idealization
abstraction Bayesian confirmation idealization
2008/4/22
In "Bayesian Confirmation of Theories that Incorporate Idealizations", Michael Shaffer argues that, in order to show how idealized hypotheses can be confirmed, Bayesians must develop a coherent propos...
The Variety-of-Evidence Thesis and the Reliability of Instruments: A Bayesian-Network Approach
Confirmation theory Bayesianism variety of evidence thesis
2008/4/21
The variety of evidence thesis in confirmation theory states that more varied supporting evidence confirms a
hypothesis to a greater degree than less varied evidence. Under a very plausible interpret...
Theory Change and Bayesian Statistical Inference
theory change Bayesian statistical inference inductive predictions
2008/4/21
This paper addresses the problem that Bayesian statistical inference cannot accommodate theory change, and proposes a framework for dealing with such changes. It first presents a scheme for generating...
Bayesian Networks and the Problem of Unreliable Instruments
Confirmation theory Bayesian Networks
2008/4/10
We appeal to the theory of Bayesian Networks to model different strategies for obtaining confirmation for a hypothesis from experimental test results provided by less than fully reliable instruments. ...
Bayesian models and simulations in cognitive science
Bayesian models neuroscience models cognitive science
2008/4/1
Bayesian models can be related to cognitive processes in a variety of ways
that can be usefully understood in terms of Marr's distinction among three levels of explanation: computational, algorithmic...
Bayesian models and simulations in cognitive science
Bayesian models neuroscience models cognitive science computer vision
2011/9/7
Bayesian models can be related to cognitive processes in a variety of ways that can be usefully understood in terms of Marr's distinction among three levels of explanation: computational, algorithmic ...