منابع مشابه
Enlightenment , Knowledge , Ignorance , Temptation ∗
I discuss the historical and conceptual roots of reasoning about the parameters of fundamental physics and cosmology based on selection effects. I argue concretely that such reasoning can and should be combined with arguments based on symmetry and dynamics; it supplements them, but does not replace them. * Summary talk at " Expectations of a Final Theory " , Trinity College, Cambridge, Septembe...
متن کاملStigma: ignorance, prejudice or discrimination?
The term stigma refers to problems of knowledge (ignorance), attitudes (prejudice) and behaviour (discrimination). Most research in this area has been based on attitude surveys, media representations of mental illness and violence, has only focused upon schizophrenia, has excluded direct participation by service users, and has included few intervention studies. However, there is evidence that i...
متن کاملArtificial Intelligence: Arrogance or Ignorance?
W ojciech Cellary's remarks on decision making and intelligence in Com-puter's September 2003 issue (" The Profession's Role in the Global Information Society , " pp. 124, 122-123) brought to mind Bob Colwell's " Engineering Decisions " column (Computer, Aug. 2003, pp. 9-11) and my disappointment with Adrian Hopgood's article, " Artificial Intelligence: Hype or Real-ity? " (Computer, May 2003, ...
متن کامل3-Message Zero Knowledge Against Human Ignorance
The notion of Zero Knowledge has driven the field of cryptography since its conception over thirty years ago. It is well established that two-message zero-knowledge protocols for NP do not exist, and that four-message zero-knowledge arguments exist under the minimal assumption of one-way functions. Resolving the precise round complexity of zero-knowledge has been an outstanding open problem for...
متن کاملKnowledge and Ignorance in Reinforcement Learning By
The field of Reinforcement Learning is concerned with teaching agents to take optimal decisions to maximize their total utility in complicated environments. A Reinforcement Learning problem, generally described by the Markov Decision Process formalism, has several complex interacting components, unlike in other machine learning settings. I distinguish three: the state-space/ transition model, t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Palliative and Supportive Care
سال: 2013
ISSN: 1478-9515,1478-9523
DOI: 10.1017/s1478951513001065