We are affected by the world: when I place my hand next to the fire, it becomes hot, and when I plunge it into the bucket of ice water, it becomes cold. What goes for physical changes also goes for at least some mental changes: when Felix the Cat leaps upon my lap, my lap not only becomes warm, but I also feel this warmth, and when he purrs, I hear his purr. It seems obvious, in other words, that perception (...) (at least, and at least under ordinary conditions) is a matter of being affected by the agency of perceptible objects. Call this doctrine affectionism. Durand of St.-Pourçain rejects affectionism. The paper has three parts. In the first part, I sketch, briefly, what motivates Durand to reject affectionism. In the second part, I will take up the affectionist doctrine as defended by Durand's older contemporary at Paris, Godfrey of Fontaines, who holds that the object of all our mental acts (not just perceptions, but also thoughts and desires) is the efficient cause of those acts, or, in other words, all mental acts (not just perception) come about owing to the affection of the relevant mental faculty by the agency of the object. As it turns out, Godfrey develops a celebrated argument against the thesis that the object is not the efficient cause but a mere sine qua non cause. Hence his position offers a challenge to Durand's position, a challenge, I argue in the third part, Durand meets. (shrink)

1. Introduction: What is the Problem? There are long standing problems of how one can account for moral properties, problems that are driven by the background metaphysical milieu into which one is trying to fit the moral properties in question. David Hume faced this problem in the context of the Newtonian-mechanistic worldview. His solution was to compromise the mechanistic worldview by undermining the physicalistic notion of causal relations via his famous Critique of Induction and reduce moral properties to a sensory (...) “sentiment.”. (shrink)

In this article I revisit the debate around statutory underpinning in the context of the UK Leveson Inquiry of 2011–12 to refocus discussion on the conceptual distinctiveness of this term. Refusing...

Categorical loudness scaling (CLS) measures provide useful information about an individual’s loudness perception across the dynamic range of hearing. A probability model of CLS categories has previously been described as a multi-category psychometric function (MCPF). In the study, a representative “catalog” of potential listener MCPFs was used in conjunction with maximum-likelihood estimation to derive CLS functions for participants with normal hearing and with hearing loss. The approach of estimating MCPFs for each listener has the potential to improve the accuracy of (...) the CLS measurements, particularly when a relatively low number of data points are available. The present study extends the MCPF approach by using Bayesian inference to select stimulus parameters that are predicted to yield maximum expected information (MEI) during data collection. The accuracy and reliability of the MCPF-MEI approach were compared to the standardized CLS measurement procedure (ISO16832:2006). A non-adaptive, fixed-level, paradigm served as a “gold-standard” for this comparison. The test time required to obtain measurements in the standard procedure is a major barrier to its clinical uptake. Test time was reduced from approximately 15 minutes to approximately 3 minutes with the MEI-adaptive procedure. Results indicated that the test-retest reliability and accuracy of the MCPF-MEI adaptive procedures were similar to the standardized CLS procedure. Computer simulations suggest that the reliability and accuracy of the MEI procedure were limited by intrinsic uncertainty of the listeners represented in the MCPF catalog. In other words, the MCPF provided insufficient predictive power to significantly improve adaptive-tracking efficiency under practical conditions. Concurrent optimization of both the MCPF catalog and the MEI-adaptive procedure have the potential to produce better results. Regardless of the adaptive-tracking method used in the CLS procedure, the MCPF catalog remains clinically useful for enabling maximum-likelihood determination of loudness categories. (shrink)