Results 51 to 60 of about 927,930 (289)
Journal of Experimental Psychology. Learning, Memory and Cognition, 2018 Three-experiments examined the number of qualitatively different processing dimensions needed to account for inductive and deductive reasoning. In each study, participants were presented with arguments that varied in logical validity and consistency with
B. Hayes +3 more
semanticscholar +1 more source
Inductive inference of approximations
Information and Control, 1986 In this paper we investigate inductive inference identification criteria which permit infinitely many errors in explanations, but which require that the ''density'' of these errors be no more than a certain, prespecified amount. We introduce three hierarchies of such criteria, each of which has the same order type as the real unit interval. These three
openaire +1 more source
Arthritis Care &Research, EarlyView.Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart +5 more
wiley +1 more source
The influence of categorization level on inductive reasoning in two and three-year children
Экспериментальная психология, 2016 Previous studies using the method of successive touches show that children under fifteen years tend to take up the objects from the same category in a row, if they represent categories differing on a superordinate level, but do it at random if
A.A. Kotov, T.N. Kotova
doaj +1 more source
Brain Sciences, 2021 In the inference process of existing deep learning models, it is usually necessary to process the input data level-wise, and impose a corresponding relational inductive bias on each level. This kind of relational inductive bias determines the theoretical
Wenpeng Neng, Jun Lu, Lei Xu
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Bayesian Informal Logic and Fallacy
Informal Logic, 2004 Bayesian reasoning has been applied formally to statistical inference, machine learning and analysing scientific method. Here I apply it informally to more common forms of inference, namely natural language arguments.
Kevin Korb
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Complexity characterization in a probabilistic approach to dynamical systems through information geometry and inductive inference [PDF]
, 2012 Information geometric techniques and inductive inference methods hold great promise for solving computational problems of interest in classical and quantum physics, especially with regard to complexity characterization of dynamical systems in terms of ...
S. Ali +7 more
semanticscholar +1 more source
Advanced Engineering Materials, EarlyView.Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source