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Subjectivist
Subjectivism is the doctrine that "our own mental activity is the only unquestionable fact of our experience", instead of shared or communal, and that there is no external or objective truth. The success of this position is historically attributed to Descartes and his methodic doubt, although he used it as an epistemological tool to prove the opposite (an objective world of facts independent of one's own knowledge, ergo the "Father of Modern Philosophy" inasmuch as his views underlie a scientific worldview). Subjectivism accords primacy to subjective experience as fundamental of all measure and law. In extreme forms like Solipsism, it may hold that the nature and existence of every object depends solely on someone's subjective awareness of it. One may consider the qualified empiricism of George Berkeley in this context, given his reliance on God as the prime mover of human perception. Metaphysical subjectivism Subjectivism is a label used to denote the philosophical tenet tha ...
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Moral Relativism
Moral relativism or ethical relativism (often reformulated as relativist ethics or relativist morality) is used to describe several philosophical positions concerned with the differences in moral judgments across different peoples and cultures. An advocate of such ideas is often referred to as a relativist for short. ''Descriptive'' moral relativism holds only that people do, in fact, disagree fundamentally about what is moral, with no judgment being expressed on the desirability of this. ''Meta-ethical'' moral relativism holds that in such disagreements, nobody is objectively right or wrong. ''Normative'' moral relativism holds that because nobody is right or wrong, everyone ought to tolerate the behavior of others even when large disagreements about morality exist. Said concepts of the different intellectual movements involve considerable nuance and aren't absolute descriptions. Descriptive relativists do not necessarily adopt meta-ethical relativism. Moreover, not all meta-e ...
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Meta-ethics
In metaphilosophy and ethics, meta-ethics is the study of the nature, scope, and meaning of moral judgment. It is one of the three branches of ethics generally studied by philosophers, the others being normative ethics (questions of how one ought to be and act) and applied ethics (practical questions of right behavior in given, usually contentious, situations). While normative ethics addresses such questions as "What should I do?", evaluating specific practices and principles of action, meta-ethics addresses questions such as "What ''is'' goodness?" and "How can we tell what is good from what is bad?", seeking to understand the assumptions underlying normative theories. Another distinction often made is that normative ethics involves first-order or substantive questions; meta-ethics involves second-order or formal questions. Some theorists argue that a metaphysical account of morality is necessary for the proper evaluation of actual moral theories and for making practical moral d ...
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Idealism
In philosophy, the term idealism identifies and describes metaphysical perspectives which assert that reality is indistinguishable and inseparable from perception and understanding; that reality is a mental construct closely connected to ideas. Idealist perspectives are in two categories: subjective idealism, which proposes that a material object exists only to the extent that a human being perceives the object; and objective idealism, which proposes the existence of an ''objective'' consciousness that exists prior to and independently of human consciousness, thus the existence of the object is independent of human perception. The philosopher George Berkeley said that the essence of an object is to be perceived. By contrast, Immanuel Kant said that idealism "does not concern the existence of things", but that "our modes of representation" of things such as ''space'' and ''time'' are not "determinations that belong to things in themselves", but are essential features of the ...
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Bayesian Probability
Bayesian probability is an Probability interpretations, interpretation of the concept of probability, in which, instead of frequentist probability, frequency or propensity probability, propensity of some phenomenon, probability is interpreted as reasonable expectation representing a state of knowledge or as quantification of a personal belief. The Bayesian interpretation of probability can be seen as an extension of propositional logic that enables reasoning with Hypothesis, hypotheses; that is, with propositions whose truth value, truth or falsity is unknown. In the Bayesian view, a probability is assigned to a hypothesis, whereas under frequentist inference, a hypothesis is typically tested without being assigned a probability. Bayesian probability belongs to the category of evidential probabilities; to evaluate the probability of a hypothesis, the Bayesian probabilist specifies a prior probability. This, in turn, is then updated to a posterior probability in the light of new, re ...
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Objectivity (philosophy)
In philosophy, objectivity is the concept of truth independent from individual subjectivity (bias caused by one's perception, emotions, or imagination). A proposition is considered to have objective truth when its truth conditions are met without bias caused by the mind of a sentient being. Scientific objectivity refers to the ability to judge without partiality or external influence. Objectivity in the moral framework calls for moral codes to be assessed based on the well-being of the people in the society that follow it. Moral objectivity also calls for moral codes to be compared to one another through a set of universal facts and not through subjectivity. Objectivity of knowledge Plato considered geometry to be a condition of idealism concerned with universal truth. In ''Republic'', Socrates opposes the sophist Thrasymachus's relativistic account of justice, and argues that justice is mathematical in its conceptual structure, and that ethics was therefore a precise and objec ...
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Søren Kierkegaard
Søren Aabye Kierkegaard ( , , ; 5 May 1813 – 11 November 1855) was a Danish theologian, philosopher, poet, social critic, and religious author who is widely considered to be the first existentialist philosopher. He wrote critical texts on organized religion, Christianity, morality, ethics, psychology, and the philosophy of religion, displaying a fondness for metaphor, irony, and parables. Much of his philosophical work deals with the issues of how one lives as a "single individual", giving priority to concrete human reality over abstract thinking and highlighting the importance of personal choice and commitment. He was against literary critics who defined idealist intellectuals and philosophers of his time, and thought that Swedenborg, Hegel, Fichte, Schelling, Schlegel, and Hans Christian Andersen were all "understood" far too quickly by "scholars". Kierkegaard's theological work focuses on Christian ethics, the institution of the Church, the differences between purely ...
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Egocentric Presentism
Egocentric presentism is a form of solipsism introduced by Caspar Hare in which other persons can be conscious, but their experiences are simply not . Similarly, in related work, Hare argues for a theory of perspectival realism in which other perspectives do exist, but the present perspective has a defining intrinsic property. In one example that Hare uses to illustrate his theory (starting on page 354 of the official version of his paper), you learn that you are one of two people, named A and B, who have just been in a train crash; and that A is about to have incredibly painful surgery. You cannot remember your name. Naturally, you hope to be B! The point of the example is that you know everything relevant that there is to know about the objective world; all that is missing is position in it, that is, whose experiences are , A's or B's. This example is easily handled by egocentric presentism because under this theory, the case where the present experiences are A's is fundamentall ...
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Coherence (philosophical Gambling Strategy)
In a thought experiment proposed by the Italian probabilist Bruno de Finetti in order to justify Bayesian probability, an array of wagers is coherent precisely if it does not expose the wagerer to certain loss regardless of the outcomes of events on which they are wagering, even if their opponent makes the most judicious choices. Operational subjective probabilities as wagering odds One must set the price of a promise to pay $1 if John Smith wins tomorrow's election, and $0 otherwise. One knows that one's opponent will be able to choose either to buy such a promise from one at the price one has set, or require one to buy such a promise from them, still at the same price. In other words: Player A sets the odds, but Player B decides which side of the bet to take. The price one sets is the "operational subjective probability" that one assigns to the proposition on which one is betting. If one decides that John Smith is 12.5% likely to win—an arbitrary valuation—one might then ...
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Bruno De Finetti
Bruno de Finetti (13 June 1906 – 20 July 1985) was an Italian probabilist statistician and actuary, noted for the "operational subjective" conception of probability. The classic exposition of his distinctive theory is the 1937 "La prévision: ses lois logiques, ses sources subjectives," which discussed probability founded on the coherence of betting odds and the consequences of exchangeability. Life De Finetti was born in Innsbruck, Austria, and studied mathematics at Politecnico di Milano. He graduated in 1927 writing his thesis under the supervision of Giulio Vivanti. After graduation, he worked as an actuary and a statistician at ''Istituto Nazionale di Statistica'' ( National Institute of Statistics) in Rome and, from 1931, the Trieste insurance company Assicurazioni Generali. In 1936 he won a competition for Chair of Financial Mathematics and Statistics, but was not nominated due to a fascist law barring access to unmarried candidates; he was appointed as ordinary profess ...
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Edwin Thompson Jaynes
Edwin Thompson Jaynes (July 5, 1922 – April 30, 1998) was the Wayman Crow Distinguished Professor of Physics at Washington University in St. Louis. He wrote extensively on statistical mechanics and on foundations of probability and statistical inference, initiating in 1957 the maximum entropy interpretation of thermodynamics as being a particular application of more general Bayesian/information theory techniques (although he argued this was already implicit in the works of Josiah Willard Gibbs). Jaynes strongly promoted the interpretation of probability theory as an extension of logic. In 1963, together with Fred Cummings, he modeled the evolution of a two-level atom in an electromagnetic field, in a fully quantized way. This model is known as the Jaynes–Cummings model. A particular focus of his work was the construction of logical principles for assigning prior probability distributions; see the principle of maximum entropy, the principle of maximum caliber, the prin ...
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Bayesian Statistics
Bayesian statistics is a theory in the field of statistics based on the Bayesian interpretation of probability where probability expresses a ''degree of belief'' in an event. The degree of belief may be based on prior knowledge about the event, such as the results of previous experiments, or on personal beliefs about the event. This differs from a number of other interpretations of probability, such as the frequentist interpretation that views probability as the limit of the relative frequency of an event after many trials. Bayesian statistical methods use Bayes' theorem to compute and update probabilities after obtaining new data. Bayes' theorem describes the conditional probability of an event based on data as well as prior information or beliefs about the event or conditions related to the event. For example, in Bayesian inference, Bayes' theorem can be used to estimate the parameters of a probability distribution or statistical model. Since Bayesian statistics treats probabi ...
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Christopher Bishop
Christopher Michael Bishop (born 7 April 1959) is the Laboratory Director at Microsoft Research, Microsoft Research Cambridge, Honorary Professor of Computer Science at the University of Edinburgh and a Fellow of Darwin College, Cambridge. Bishop is a member of the UK AI Council. He was also recently appointed to the Prime Minister's Council for Science and Technology. Education Bishop obtained a Bachelor of Arts degree in physics from St Catherine's College, Oxford, and a PhD in Theoretical Physics from the University of Edinburgh, with a thesis on quantum field theory supervised by David Wallace (physicist), David Wallace and Peter Higgs. Research and career Bishop investigates machine learning, in which computers are made to learn from data and experience. Written works Bishop is the author of two highly cited and widely adopted machine learning text books: Neural Networks for Pattern Recognition (1995) anPattern Recognition and Machine Learning(2006). Awards and honour ...
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