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Keith Ransom
Keith Ransom
The University of Melbourne, The University of Adelaide
Verified email at unimelb.edu.au - Homepage
Title
Cited by
Cited by
Year
The diversity effect in inductive reasoning depends on sampling assumptions
BK Hayes, DJ Navarro, RG Stephens, K Ransom, N Dilevski
Psychonomic Bulletin & Review 26, 1043-1050, 2019
432019
How do people learn from negative evidence? Non-monotonic generalizations and sampling assumptions in inductive reasoning
W Voorspoels, DJ Navarro, A Perfors, K Ransom, G Storms
Cognitive psychology 81, 1-25, 2015
392015
Sample size, number of categories and sampling assumptions: Exploring some differences between categorization and generalization
AT Hendrickson, A Perfors, DJ Navarro, K Ransom
Cognitive Psychology 111, 80-102, 2019
312019
Leaping to conclusions: Why premise relevance affects argument strength
KJ Ransom, A Perfors, DJ Navarro
Cognitive science 40 (7), 1775-1796, 2016
302016
Do sequential lineups impair underlying discriminability?
M Kaesler, JC Dunn, K Ransom, C Semmler
Cognitive research: principles and implications 5, 1-21, 2020
21*2020
A cognitive analysis of deception without lying
K Ransom, W Voorspoels, A Perfors, D Navarro
Proceedings of the 39th Annual Conference of the Cognitive Science Society …, 2017
182017
People ignore token frequency when deciding how widely to generalize
A Prefors, K Ransom, D Navarro
Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014
172014
Human-like property induction is a challenge for large language models
SJ Han, KJ Ransom, A Perfors, C Kemp
44th Annual Conference of the Cognitive Science Society, 2022
132022
Inductive reasoning in humans and large language models
SJ Han, KJ Ransom, A Perfors, C Kemp
Cognitive Systems Research 83, 101155, 2024
102024
Where the truth lies: how sampling implications drive deception without lying
K Ransom, W Voorspoels, D Navarro, A Perfors
PsyArXiv, 2019
92019
Representational and sampling assumptions drive individual differences in single category generalisation
K Ransom, AT Hendrickson, A Perfors, DJ Navarro
Proceedings of the 40th annual conference of the cognitive science society, 2018
82018
Social meta-inference and the evidentiary value of consensus
KJ Ransom, A Perfors, RG Stephens
Proceedings of 43rd Annual Conference of the Cognitive Science Society, 2021
72021
What do our sampling assumptions affect: how we encode data or how we reason from it?
KJ Ransom, A Perfors, BK Hayes, S Connor Desai
Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
62022
Supporting software reuse within an integrated software development environment (position paper)
KJ Ransom, CD Marlin
ACM SIGSOFT Software Engineering Notes 20 (SI), 233-237, 1995
41995
Generating an implementation of a parallel programming language from a formal semantic definition
MJ Oudshoorn, CD Marlin, KJ Ransom
Department of Computer Science, The University of Adelaide, 1993
41993
Abstract data types: Converting from sequential to parallel
MJ Oudshoorn, KJ Ransom, CD Marlin
Australian Software Engineering Conference 1991: Engineering Safe Software …, 1991
31991
Self-Censorship Appears to be an Effective Way of Reducing the Spread of Misinformation on Social Media
P Howe, A Perfors, KJ Ransom, B Walker, N Fay, Y Kashima, M Saletta
Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023
22023
Source independence affects argument persuasiveness when the relevance is clear
M Alister, A Perfors, KJ Ransom
44th Annual Conference of the Cognitive Science Society, 2022
22022
Exploring the role that encoding and retrieval play in sampling effects.
K Ransom, A Perfors
CogSci, 946-952, 2019
12019
Modelling systems that integrate programming language and environment mechanisms
KJ Ransom, CD Marlin
Proceedings 1995 Asia Pacific Software Engineering Conference, 274-281, 1995
11995
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