Titlebook: Kierkegaard’s Mirrors; Interest, Self, and Patrick Stokes Book 2010 Patrick Stokes 2010 bibliography.concept.consciousness.experience.imag

过度

Seeing the Other condition reflected to them in conceptual content which ostensibly does not include them. But what of ., other ethical agents, and moral patients, as mirrors? Relating ourselves to moral exemplars is, as John Lippitt notes, ‘a vital part of ethical and religious development and self-understanding’

craving

Concern, Misfortune, and Despair, knowing, and willing from becoming hopelessly infinitized. So far we’ve considered infinitized willing and feeling, and how . prevents these states from coming about; in the final part of our investigation, we will consider the relationship between interest and knowledge. But we begin in a place t

bacteria

Interest in the Postscript: The Telos of Knowingterest in Kierkegaard’s account of self and vision would therefore be complete without engaging with the way . is used in this work. Moreover, the primary usages of . (in its philosophically interesting sense) in Kierkegaard’s work are to be found in two of the three works ‘written’ by Johannes Clim

TRUST

peritonitis

顾客

Patrick Stokesvious books FP (Fuzzy Probabilities: New Approach and Applications,Physica-Verlag, 2003) and FS (Fuzzy Statistics, Springer, 2004), plus has about one third new results. From FP we have material on basic fuzzy probability, discrete (fuzzy Poisson,binomial) and continuous (uniform, normal, exponentia

SMART

vious books FP (Fuzzy Probabilities: New Approach and Applications,Physica-Verlag, 2003) and FS (Fuzzy Statistics, Springer, 2004), plus has about one third new results. From FP we have material on basic fuzzy probability, discrete (fuzzy Poisson,binomial) and continuous (uniform, normal, exponentia

马笼头

jungle

干涉

Patrick Stokesvious books FP (Fuzzy Probabilities: New Approach and Applications,Physica-Verlag, 2003) and FS (Fuzzy Statistics, Springer, 2004), plus has about one third new results. From FP we have material on basic fuzzy probability, discrete (fuzzy Poisson,binomial) and continuous (uniform, normal, exponentia