Analogical arguments are ubiquitous vehicles of knowledge transfer in science and medicine. This paper outlines a Bayesian evidence-amalgamation framework for the purpose of formally exploring different analogy-based inference patterns with respect to their justification in pharmacological risk assessment. By relating formal explications of similarity, analogy, and analog simulation, three sources of confirmatory support for a causal hypothesis are distinguished in reconstruction: relevant studies, established causal knowledge, and computational models
Personalized medicine relies on two points: (1) causal knowledge about the possible effects of X in ...
This paper examines the existing research concerning both formal and computational approaches to ana...
This paper deals with exchangeable analogical predictions, and proposes a Bayesian model for such pr...
Analogical arguments are ubiquitous vehicles of knowledge transfer in science and medicine. This pap...
A fundamental issue for theories of human induction is to specify constraints on potential inference...
This paper proposes a framework for representing in Bayesian terms the idea that analogical argument...
Philosophical discussions on causal inference in medicine are stuck in dyadic camps, each defending ...
Casuistry, which involves analogical reasoning, is a popular methodological approach in bioethics. T...
Under embargo until: 2022-02-21In this chapter we explore the process of extrapolating causal claims...
Analogy is a mode of reasoning that is employed in problem solving, logic, science and art. The sche...
The ability to reason by analogy is particularly important because it permits the extension of knowl...
Although argument by analogy is studied and featured in many computational models, less appreciated ...
This paper describes an analogy ontology, a formal representation of some key ideas in analogical pr...
Analogy and metaphor have a long history of study in linguistics, education, philosophy and psycholo...
Analogical reasoning is a valuable logical resource in a public health context. It is used extensive...
Personalized medicine relies on two points: (1) causal knowledge about the possible effects of X in ...
This paper examines the existing research concerning both formal and computational approaches to ana...
This paper deals with exchangeable analogical predictions, and proposes a Bayesian model for such pr...
Analogical arguments are ubiquitous vehicles of knowledge transfer in science and medicine. This pap...
A fundamental issue for theories of human induction is to specify constraints on potential inference...
This paper proposes a framework for representing in Bayesian terms the idea that analogical argument...
Philosophical discussions on causal inference in medicine are stuck in dyadic camps, each defending ...
Casuistry, which involves analogical reasoning, is a popular methodological approach in bioethics. T...
Under embargo until: 2022-02-21In this chapter we explore the process of extrapolating causal claims...
Analogy is a mode of reasoning that is employed in problem solving, logic, science and art. The sche...
The ability to reason by analogy is particularly important because it permits the extension of knowl...
Although argument by analogy is studied and featured in many computational models, less appreciated ...
This paper describes an analogy ontology, a formal representation of some key ideas in analogical pr...
Analogy and metaphor have a long history of study in linguistics, education, philosophy and psycholo...
Analogical reasoning is a valuable logical resource in a public health context. It is used extensive...
Personalized medicine relies on two points: (1) causal knowledge about the possible effects of X in ...
This paper examines the existing research concerning both formal and computational approaches to ana...
This paper deals with exchangeable analogical predictions, and proposes a Bayesian model for such pr...