David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Thinking and Reasoning 12 (1):91 – 123 (2006)
Transitive inference (TI) plays a part in many aspects of reasoning, and is usually assessed using variants on a particular task dubbed the “IP-paradigm”. Advocates of this paradigm assume it ensures that subjects must use deduction to solve the inferential questions. The present task with 63 adults strengthened this claim by removing all possible perceptual cues and limiting as far as possible all cues from the training procedure itself. Response speed and accuracy were measured as premises were learned. Findings show that when over-training and non-logical cues are avoided, adults nevertheless reach high levels of overall performance. However, key indexes of Lexical Marking, Relative-End-Anchoring, and Symbolic Distance are largely absent or in the opposite direction to the generally accepted view at the start of training, and are present only for response time (RT) at the end of training. The widely accepted strategy of retrieval from an integrated mental representation does emerge; but only after an initial associative process and a deductive process. Regarding three comparisons critical for demonstrating deductive TI, the inference was more demanding than its antecedents both in terms of accuracy and RT, and both after initial and final training. Existing theories of TI account for some of these findings, but what is required is a theory accommodating them all.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
David Allen Jones (2009). A Novel Approach to Business Ethics Training: Improving Moral Reasoning in Just a Few Weeks. [REVIEW] Journal of Business Ethics 88 (2):367 - 379.
Michael D. Mumford, Shane Connelly, Ryan P. Brown, Stephen T. Murphy, Jason H. Hill, Alison L. Antes, Ethan P. Waples & Lynn D. Devenport (2008). A Sensemaking Approach to Ethics Training for Scientists: Preliminary Evidence of Training Effectiveness. Ethics and Behavior 18 (4):315 – 339.
Robert C. Mathews & Ron Sun, Effects of Model-Based and Memory-Based Processing on Speed and Accuracy of Grammar String Generation.
Michael Luntley (2008). Training and Learning. Educational Philosophy and Theory 40 (5):695-711.
Jamie A. Prowse Turner & Valerie A. Thompson (2009). The Role of Training, Alternative Models, and Logical Necessity in Determining Confidence in Syllogistic Reasoning. Thinking and Reasoning 15 (1):69 – 100.
Sylvain Moutier, Nathalie Angeard & Olivier Houde (2002). Deductive Reasoning and Matching-Bias Inhibition Training: Evidence From a Debiasing Paradigm. Thinking and Reasoning 8 (3):205 – 224.
Donna Howells & Barlow C. Wright (2008). Getting One Step Closer to Deduction: Introducing an Alternative Paradigm for Transitive Inference. Thinking and Reasoning 14 (3):244-280.
Barlow C. Wright & Donna Howells (2008). Getting One Step Closer to Deduction: Introducing an Alternative Paradigm for Transitive Inference. Thinking and Reasoning 14 (3):244 – 280.
Added to index2009-01-28
Total downloads15 ( #232,907 of 1,792,848 )
Recent downloads (6 months)6 ( #139,170 of 1,792,848 )
How can I increase my downloads?