Against “soft” statistical information

Philosophical Psychology 28 (1):139-147 (2015)
  Copy   BIBTEX

Abstract

Unsatisfied with stringent statistical theories of information such as Dretske's unity theory, Millikan (2001, 2004, 2007) and Shea (2007) have independently introduced ?soft? statistical notions of information. I argue here that these soft statistical notions do not present viable alternative senses of information to that proposed by Dretske. Furthermore, what appears to be the primary motivation for ?soft? information can be undercut.

Categories

Keywords

Reprint years

DOI

10.1080/09515089.2013.785127

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,219

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

Rationality in the new paradigm: Strict versus soft Bayesian approaches.Shira Elqayam & Jonathan St B. T. Evans - 2013 - Thinking and Reasoning 19 (3-4):453-470.
Predicting the presuppositions of soft triggers.Márta Abrusán - 2011 - Linguistics and Philosophy 34 (6):491-535.
Information-Theoretic Statistical Mechanics without Landauer’s Principle.Daniel Parker - 2011 - British Journal for the Philosophy of Science 62 (4):831-856.
Measurement in soft systems: Epistemological framework and a case study.Luca Mari, Valentina Lazzarotti & Raffaella Manzini - 2009 - Measurement 42 (2):241-253.
The cognitive process of problem solving: A soft systems approach. [REVIEW]Dilip Patel & Shushma Patel - 2003 - Brain and Mind 4 (2):283-295.
The ego has landed! The .05 level of statistical significance is soft (fisher) rather than hard (neyman/pearson).Lester E. Krueger - 1998 - Behavioral and Brain Sciences 21 (2):207-208.
Effects of Visual Information on Adults' and Infants' Auditory Statistical Learning.Erik D. Thiessen - 2010 - Cognitive Science 34 (6):1093-1106.
Why God's beliefs are not hard-type soft facts.David Widerker - 2002 - Religious Studies 38 (1):77-88.
God's Justified Knowledge and the Hard-Soft Fact Distinction.John R. Shook - 2006 - The Proceedings of the Twenty-First World Congress of Philosophy 8:69-73.
Information, learning and falsification.David Balduzzi - 2011
Competitive Processes in Cross‐Situational Word Learning.Daniel Yurovsky, Chen Yu & Linda B. Smith - 2013 - Cognitive Science 37 (5):891-921.
Demons in Physics. [REVIEW]Amit Hagar - 2014 - Metascience 23 (2):1-10.
Evaluation of statistical hypotheses using information transmitted.James G. Greeno - 1970 - Philosophy of Science 37 (2):279-294.
On an information-theoretic model of explanation.James Woodward - 1987 - Philosophy of Science 54 (1):21-44.
Two psychologies of perception and the prospect of their synthesis.Sergei Gepshtein - 2010 - Philosophical Psychology 23 (2):217 – 281.

Analytics

Added to PP
2013-10-18

Downloads
19 (#753,814)

6 months
3 (#902,269)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Dan Kraemer
Florida International University

Citations of this work

Informational Theories of Content and Mental Representation.Marc Artiga & Miguel Ángel Sebastián - 2020 - Review of Philosophy and Psychology 11 (3):613-627.
Information as a Probabilistic Difference Maker.Andrea Scarantino - 2015 - Australasian Journal of Philosophy 93 (3):419-443.

Add more citations

References found in this work

Meaning.Herbert Paul Grice - 1957 - Philosophical Review 66 (3):377-388.
Misrepresentation.Fred Dretske - 1986 - In Radu Bogdan (ed.), Belief: Form, Content, and Function. Oxford University Press. pp. 17--36.
Is semantic information meaningful data?Luciano Floridi - 2007 - Philosophy and Phenomenological Research 70 (2):351-370.

View all 14 references / Add more references