Explore Your Deductive Logic

This article discusses John Locke’s positive contribution to Newman’s epistemology throughout the latter’s career. Beginning with one of Newman’s earliest published works, his Essay on Miracles, he borrowed and further developed ideas from Locke’s A Discourse on Miracles regarding the necessity of miracles to validate the Christian message and the personal nature and cumulative method of weighing evidence. Later, in Newman’s most mature epistemological work, An Essay in Aid of a Grammar of Assent, one can discern Locke’s influence on Newman’s views on the weaknesses of deductive logic, the personal nature of knowledge, and the role of connecting ideas to arrive at knowledge.

Download Full-text

Rationality, logic, and fast and frugal heuristics

Behavioral and Brain Sciences ◽

10.1017/s0140525x00253442 ◽

2000 ◽

Vol 23 (5) ◽

pp. 744-745 ◽

Cited By ~ 5

Author(s):

José Luis Bermúdez

Keyword(s):

Probability Theory ◽

Real World ◽

Fast And Frugal Heuristics ◽

Take The Best ◽

Decision Performance ◽

Deductive Logic ◽

Traditional Norms

Gigerenzer and his co-workers make some bold and striking claims about the relation between the fast and frugal heuristics discussed in their book and the traditional norms of rationality provided by deductive logic and probability theory. We are told, for example, that fast and frugal heuristics such as “Take the Best” replace “the multiple coherence criteria stemming from the laws of logic and probability with multiple correspondence criteria relating to real-world decision performance.” This commentary explores just how we should interpret this proposed replacement of logic and probability theory by fast and frugal heuristics.

Download Full-text

Natural History and Deductive Logic

BioScience ◽

10.2307/1310147 ◽

1986 ◽

Vol 36 (8) ◽

pp. 513-514

Author(s):

Bertram G. Murray,

Keyword(s):

Natural History ◽

Deductive Logic

Download Full-text

An Introduction to Deductive Logic

The Mathematical Gazette ◽

10.2307/3608833 ◽

1956 ◽

Vol 40 (333) ◽

pp. 222

Author(s):

R. L. Goodstein ◽

Hughes Leblanc

Keyword(s):

Deductive Logic

Download Full-text

The Impact of Culture on the Indian Construction Industry

Journal for the Advancement of Performance Information and Value ◽

10.37265/japiv.v5i2.80 ◽

2013 ◽

Vol 5 (2) ◽

pp. 153

Author(s):

Syed Nihas ◽

Kristen Barlish ◽

Jacob Kashiwagi ◽

Dean Kashiwagi

Keyword(s):

Construction Industry ◽

Poor Performance ◽

Industry Structure ◽

Cultural Issues ◽

Major Research ◽

Indian Culture ◽

Cost Overruns ◽

Deductive Logic ◽

Potential Impact ◽

The Impact

The Indian construction industry has been characterized by poor performance. This paper analyzes the potential impact of the Indian culture on the poor performance. If the culture is a major cause in the construction industry subpar performance, can the cultural influence be overridden to minimize construction project delays and cost overruns. The authors propose to identify the unique cultural issues, identify using the Construction Industry Structure (CIS) model the impact of the cultural issues on the construction industry, and identify a potential solution to the problem. The paper proposes to test the solution in actual tests with industry participants. What makes this research unique is the approach of using deductive logic to create a simple solution, and then convincing a major research client to test the proposal.

Download Full-text

Data irregularities across five implicit learning articles: Comments on Lola and Tzetzis (2021), Lola and Tzetzis (2020), Tzetzis and Lola (2015), Lola, Tzetzis, and Zetou (2012), and Tzetzis and Lola (2010)

10.31234/osf.io/n8mab ◽

2021 ◽

Author(s):

Brad McKay ◽

Michael J Carter

Keyword(s):

Motor Learning ◽

Implicit Learning ◽

Pairwise Comparison ◽

Effect Sizes ◽

Test Statistics ◽

Deductive Logic ◽

Eta Squared ◽

Calculated Effect ◽

D Values ◽

Main Effects

We present a critical re-analysis of five implicit learning papers published by the same authors between 2010 and 2021. We calculated effect sizes for each pairwise comparison reported in the papers using the data published in each article. We further identified mathematically impossible data reported in multiple papers, either with deductive logic or by conducting a GRIMMER analysis of reported means and standard deviations. We found the pairwise effect sizes were implausible in all five articles in question, with Cohen’s d values often exceeding 100 and sometimes exceeding 1000. Impossible statistics were reported in four out of the five articles. Reported test statistics and eta-squared values were also implausible, with several eta-squared = .99 and even eta-squared = 1.0 for between-subjects main effects. The results reported in the five articles in question are unreliable. Many of the problems we identified could be spotted without further analysis, highlighting the need for adequate statistical training in the field of motor learning.

Download Full-text