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When statisticians quarrel about hypothesis testing, the debate usually focus on which method is the correct one. The fundamental question of whether we should test hypothesis at all tends to be forgotten. This lack of debate has its roots…

其他统计学 · 统计学 2016-11-22 André C. R. Martins

There are many ways we can not know. Even in systems that we created ourselves, as, for example, systems in mathematical logic, Go\"edel and Tarski's theorems impose limits on what we can know. As we try to speak of the real world, things…

物理学史与哲学 · 物理学 2020-06-04 André C. R. Martins

Probability theory, epistemically interpreted, provides an excellent, if not the best available account of inductive reasoning. This is so because there are general and definite rules for the change of subjective probabilities through…

人工智能 · 计算机科学 2013-04-10 Wolfgang Spohn

Humans currently use arguments for explaining choices which are already made, or for evaluating potential choices. Each potential choice has usually pros and cons of various strengths. In spite of the usefulness of arguments in a decision…

人工智能 · 计算机科学 2012-07-19 Leila Amgoud , Henri Prade

In physics, there is the prevailing intuition that we are part of a unique external world, and that the goal of physics is to understand and describe this world. This assumption of the fundamentality of objective reality is often seen as a…

量子物理 · 物理学 2019-07-22 Markus P. Mueller

The quantum-mechanical description of the world, including human observers, makes substantial use of entanglement. In order to understand this, we need to adopt concepts of truth, probability and time which are unfamiliar in modern…

量子物理 · 物理学 2013-04-23 Anthony Sudbery

To operate intelligently in the world, an agent must reason about its actions. The consequences of an action are a function of both the state of the world and the action itself. Many aspects of the world are inherently stochastic, so a…

人工智能 · 计算机科学 2013-04-05 Peter Haddawy

We introduce a logic for reasoning about evidence, that essentially views evidence as a function from prior beliefs (before making an observation) to posterior beliefs (after making the observation). We provide a sound and complete…

人工智能 · 计算机科学 2014-07-29 Joseph Y. Halpern , Riccardo Pucella

We introduce a logic for reasoning about evidence that essentially views evidence as a function from prior beliefs (before making an observation) to posterior beliefs (after making the observation). We provide a sound and complete…

人工智能 · 计算机科学 2007-05-23 Joseph Y. Halpern , Riccardo Pucella

The notion of argumentation and the one of belief stand in a problematic relation to one another. On the one hand, argumentation is crucial for belief formation: as the outcome of a process of arguing, an agent might come to (justifiably)…

计算机科学中的逻辑 · 计算机科学 2021-06-23 Alfredo Burrieza , Antonio Yuste-Ginel

Expectation is a central notion in probability theory. The notion of expectation also makes sense for other notions of uncertainty. We introduce a propositional logic for reasoning about expectation, where the semantics depends on the…

人工智能 · 计算机科学 2007-05-23 Joseph Y. Halpern , Riccardo Pucella

I provide a critical commentary regarding the attitude of the logician and the philosopher towards the physicist and physics. The commentary is intended to showcase how a general change in attitude towards making scientific inquiries can be…

综合物理 · 物理学 2021-10-22 Abhishek Majhi

Expectation is a central notion in probability theory. The notion of expectation also makes sense for other notions of uncertainty. We introduce a propositional logic for reasoning about expectation, where the semantics depends on the…

人工智能 · 计算机科学 2014-07-29 Joseph Y. Halpern , Riccardo Pucella

The process of doing Science in condition of uncertainty is illustrated with a toy experiment in which the inferential and the forecasting aspects are both present. The fundamental aspects of probabilistic reasoning, also relevant in real…

历史与综述 · 数学 2018-02-07 Giulio D'Agostini

A logic is defined that allows to express information about statistical probabilities and about degrees of belief in specific propositions. By interpreting the two types of probabilities in one common probability space, the semantics given…

人工智能 · 计算机科学 2013-02-28 Manfred Jaeger

We present a propositional logic to reason about the uncertainty of events, where the uncertainty is modeled by a set of probability measures assigning an interval of probability to each event. We give a sound and complete axiomatization…

人工智能 · 计算机科学 2014-08-08 Joseph Y. Halpern , Riccardo Pucella

We live in an age of information abundance but know little about how this influences our opinions or attitudes. A common expectation is that people consulting numerous pieces of information, well balancing the different sides of an issue,…

物理与社会 · 物理学 2025-02-18 Guillaume Deffuant , Marijn A. Keijzer , Sven Banisch

Free will discourse is primarily centred around the thesis of determinism. Much of the literature takes determinism as its starting premise, assuming it true for the sake of discussion, and then proceeds to present arguments for why, if…

物理学史与哲学 · 物理学 2026-01-15 Henry D. Potter , George F. R. Ellis , Kevin J. Mitchell

The idea of fully accepting statements when the evidence has rendered them probable enough faces a number of difficulties. We leave the interpretation of probability largely open, but attempt to suggest a contextual approach to full belief.…

人工智能 · 计算机科学 2013-02-08 Henry E. Kyburg

In dialogical argumentation it is often assumed that the involved parties always correctly identify the intended statements posited by each other, realize all of the associated relations, conform to the three acceptability states (accepted,…

人工智能 · 计算机科学 2017-12-11 Sylwia Polberg , Anthony Hunter
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