Although it is now commonplace to take emotions be the sort of phenomena for which there are reasons, question how cash out reason-responsiveness remains a large extent unanswered. I highlight two main ways thinking about reason-responsiveness, one that takes agential capacities engage in norm-guided deliberation underlie and another instead basic reason-relation between facts attitudes. argue ...

Abstract This paper addresses the question of how ‘weight’ or ‘strength’ normative reasons is best understood. We argue that, given our preferred analysis as sources support, this has a straightforward answer: weight reason simply matter much support it provides. also critically discuss several competing views and their weight. These include which take to be normatively fundamental, analyze evi...

What justifies holding the person that we are today morally responsible for something did a year ago? And why justified in showing prudential concern future welfare of will be from now? These questions cannot systematically pursued without addressing problem personal identity. In pursuing this problem, essay considers whether Buddhist Reductionism, philosophical project grounded on idea persons...

An af®ne-invariant (AI) deformable contour model for object matching, called AI-EigenSnake (AI-ES), is proposed in the Bayesian framework. In AI-ES, the prior distribution of object shapes is estimated from the sample data. This distribution is then used to constrain the prototype contour, which is dynamically adjustable in the matching process. In this way, large shape deformations due to the ...

The ubiquity of the Laplace-Beltrami operator in shape analysis can be seen by observing the wide variety of applications where it has been found to be useful. Here we demonstrate a small subset of such uses with their latest developments including a scale invariant transform for general triangulated meshes, an effective and efficient method for denoising meshes using Beltrami flows via high di...

This paper concerns the abstraction of sets of functions for use in abstract interpretation. The paper gives an overview of existing methods, which are illustrated with applications to shape analysis, and formalizes a new family of relational abstract domains that allows sets of functions to be abstracted more precisely than with known approaches, while being still machine-representable.