Quantitative Parsimony

Nolan, Daniel

doi:10.1093/bjps/48.3.329

Cited by 101 publications

(61 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To sum up, teachers can correctly infer that since colours can be obtained by prismatic separation of sunlight, using the principle of parsimony (Nolan, 1997), all colours have one and the same origin, that is, colours are the impression in our eyes of light with different degree of refrangibility and not properties of bodies. But educators must keep in mind, if they are to teach colours in the framework of geometric optic, which is and ought to be the first approach to the teaching of optics (Raftopoulos, Kalyfommatou, & Constantinou, 2005), that this claim cannot be proven by experiment.…”

Section: Research On Previous Conception On Colourmentioning

confidence: 99%

A Teaching-Learning Sequence of Colour Informed by History and Philosophy of Science

Maurício

Valente

Chagas

2016

Int J of Sci and Math Educ

View full text Add to dashboard Cite

In this work, we present a teaching-learning sequence on colour intended to a pre-service elementary teacher programme informed by History and Philosophy of Science. Working in a socio-constructivist framework, we made an excursion on the history of colour. Our excursion through history of colour, as well as the reported misconception on colour helps us to inform the constructions of the teaching-learning sequence. We apply a questionnaire both before and after each of the two cycles of action-research in order to assess students' knowledge evolution on colour and to evaluate our teaching-learning sequence. Finally, we present a discussion on the persistence of deep-rooted alternative conceptions.

show abstract

Section: Research On Previous Conception On Colourmentioning

confidence: 99%

A Teaching-Learning Sequence of Colour Informed by History and Philosophy of Science

Maurício

Valente

Chagas

2016

Int J of Sci and Math Educ

View full text Add to dashboard Cite

show abstract

“…Although the precise operational definition of parsimony is a point of debate in the philosophy of science, variants of the heuristic are commonly used in actual scientific practice (Nolan, 1997;Popper, 1959;Sober, 1981). This provides some evidence that the principle is normative, that is, that it actually results in successful theories.…”

Section: Marcus T Pearce and Geraint A Wiggins Centre For Cognition mentioning

confidence: 99%

Expectation in Melody: The Influence of Context and Learning

Pearce¹,

Wiggins²

2006

Music Perception

242

227

View full text Add to dashboard Cite

JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. Krumhansl, 1995aKrumhansl, , 1995bSchellenberg, 1996Schellenberg, , 1997. However, there is also evidence that the implemented bottom-up rules constitute too inflexible a model to account for the influence of the musical experience of the listener and the melodic context in which expectations are elicited. A theory is presented, according to which both bottom-up and top-down descriptions of observed patterns of melodic expectation may be accounted for in terms of the induction of statistical regularities in existing musical repertoires. A computational model that embodies this theory is developed and used to reanalyze existing experimental data on melodic expectancy. The results of three experiments with increasingly complex melodic stimuli demonstrate that this model is capable of accounting for listeners' expectations as well as or better than the two-factor model of Schellenberg (1997). University of California Press

show abstract

“…The proper understanding of the principle of parsimony (a.k.a., the law of economy) is to interpret simplicity as the lack of unnecessarily improbable loose ends in a theory or model in favor of a theory or model that does a better "job" of tying things up. Stated differently: when deciding between two models that make equivalent predictions, choose the simpler one (Sober 1981;Sober 1990;Nolan 1997;Wikipedia 2005).…”

Section: (22% Of Respondents Picked This Option)mentioning

confidence: 99%

Risk perception & strategic decision making :general insights, a framework, and specific application to electricity generation using nuclear energy.

Brewer¹

2005

View full text Add to dashboard Cite

The objective of this report is to promote increased understanding of decision making processes and hopefully to enable improved decision making regarding highconsequence, highly sophisticated technological systems. This report brings together insights regarding risk perception and decision making across domains ranging from nuclear power technology safety, cognitive psychology, economics, science education, public policy, and neural science (to name a few). It forms them into a unique, coherent, concise framework, and list of strategies to aid in decision making. It is suggested that all decision makers, whether ordinary citizens, academics, or political leaders, ought to cultivate their abilities to separate the wheat from the chaff in these types of decision making instances. The wheat includes proper data sources and helpful human decision making heuristics; these should be sought. The chaff includes 'unhelpful biases' that hinder proper interpretation of available data and lead people unwittingly toward inappropriate decision making 'strategies'; obviously, these should be avoided. It is further proposed that successfully accomplishing the wheat vs. chaff separation is very difficult, yet tenable. This report hopes to expose and facilitate navigation away from decision-making traps which often ensnare the unwary. Furthermore, it is emphasized that one's personal decision making biases can be examined, and tools can be provided allowing better means to generate, evaluate, and select among decision options. Many examples in this report are tailored to the energy domain (esp. nuclear power for electricity generation). The decision making framework and approach presented here are applicable to any high-consequence, highly sophisticated technological system.

show abstract

Quantitative Parsimony

Cited by 101 publications

References 4 publications

A Teaching-Learning Sequence of Colour Informed by History and Philosophy of Science

A Teaching-Learning Sequence of Colour Informed by History and Philosophy of Science

Expectation in Melody: The Influence of Context and Learning

Risk perception & strategic decision making :general insights, a framework, and specific application to electricity generation using nuclear energy.

Contact Info

Product

Resources

About