David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
In innate Categorical Perception (CP) (e.g., colour perception), similarity space is "warped," with regions of increased within-category similarity (compression) and regions of reduced between-category similarity (separation) enh ancing the category boundaries and making categorisation reliable and all-or-none rather than graded. We show that category learning can likewise warp similarity space, resolving uncertainty near category boundaries. Two Hard and two Easy texture learning tasks were compared: As predicted, there were fewer successful Learners with the Hard task, and only the successful Learners of the Hard task exhibited CP. In a second experiment, the Easy task was made Hard by making the corrective feedback during learn ing only 90% reliable; this too generated CP. The results are discussed in relation to supervised, unsupervised and dual-mode models of category learning and representation.The world is full of things that vary in their similarity and interconfusability.O rganisms must somehow resolve this confusion, sorting and acting upon things adaptively. It might be important, for example, to learn which kinds of mushrooms are poisonous and which are safe to eat, minimising the confusion between them (Greco, Cangelosi & Harnad 1997).
|Keywords||No keywords specified (fix it)|
No categories specified
(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
Stevan Harnad & Stephen J. Hanson, Learned Categorical Perception in Neural Nets: Implications for Symbol Grounding.
Stevan Harnad & SJ Hanson, Categorical Perception and the Evolution of Supervised Learning in Neural Nets.
Keith R. Laws (2001). What is Structural Similarity and is It Greater in Living Things? Behavioral and Brain Sciences 24 (3):486-487.
Christopher Gauker (2007). A Critique of the Similarity Space Theory of Concepts. Mind and Language 22 (4):317–345.
Stevan Harnad (2003). Categorical Perception. In L. Nadel (ed.), Encyclopedia of Cognitive Science. Nature Publishing Group. 67--4.
Stevan Harnad (1995). Does Mind Piggyback on Robotic and Symbolic Capacity? In H. Morowitz & J. Singer (eds.), The Mind, the Brain, and Complex Adaptive Systems. Addison Wesley.
Emmanuel M. Pothos (2005). The Rules Versus Similarity Distinction. Behavioral and Brain Sciences 28 (1):1-14.
Gregory Ashby & Michael B. Casale (2005). Empirical Dissociations Between Rule-Based and Similarity-Based Categorization. Behavioral and Brain Sciences 28 (1):15-16.
J. van Brakel (2005). Colour is a Culturalist Category. Behavioral and Brain Sciences 28 (4):507-508.
Glyn W. Humphreys & Emer M. E. Forde (2001). Hierarchies, Similarity, and Interactivity in Object Recognition: “Category-Specific” Neuropsychological Deficits. Behavioral and Brain Sciences 24 (3):453-476.
Bryan R. Gibson, Timothy T. Rogers & Xiaojin Zhu (2013). Human Semi-Supervised Learning. Topics in Cognitive Science 5 (1):132-172.
Added to index2010-12-22
Total downloads3 ( #281,668 of 1,096,631 )
Recent downloads (6 months)1 ( #265,701 of 1,096,631 )
How can I increase my downloads?