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Innateness of colour categories is a red herring: insights from computational modelling Tony Belpaeme Artificial Intelligence Lab Vrije Universiteit Brussel Colour categories • The colour spectrum is continuous • Still, we divide it into colour categories • What are the origins of colour categories? (Insights might be applicable to other perceptual categories as well) Importance for language “… this may at first appear to be a comparatively trivial example of some minor aspect of language, but the implications for other aspects of language evolution are truly staggering.” (Deacon, 1997) Universalism • Berlin and Kay (1969) used naming experiments to extract colour categories Universalism • This universal character has been hailed by many and has been reconfirmed by some. (among others Rosch-Heider, 1972; Kay and McDaniel, 1978; Durham, 1991; Shepard, 1992; Kay and Regier, 2003) Three positions • Supposing we accept a certain universality of colour categorisation, what mechanisms could underlie this? – Nativism: genetic makeup. – Empiricism: interaction with the environment. – Culturalism: cultural interaction with others. Nativism • Colour categories are directly or indirectly genetically specified. L + _ + + – Regularities in human early visual perception, especially the opponent character of colour vision. (Kay and McDaniel, 1978) – Regularities in the neural coding of the brain. (Durham, 1991) – Genetic coding of colour categories. (Shepard, 1992) L S M + + + R-G _ + Y-B Empiricism • Our ecology contains a certain chromatic structure which is reflected in our colour categories. • We extract colour categories by interacting with our environment. (e.g. Elman et al., 1996; Shepard, 1992; Yendrikhovskij, 2001) • This all happens without the influence of culture or language. Culturalism • Colour categories are culture-specific. • They are learned with a strong causal influence of language and propagate in a cultural process. (e.g. Whorf, 1954; Davidoff et al., 2001; Roberson, 2005; Belpaeme and Steels) Nativism, empiricism or culturalism? • The discussion has been held on many different fronts – – – – – – Neurology. Psychology. Anthropology. Linguistics. Ophthalmology. Philosophy. • We will tackle the discussion from artificial intelligence and computer modelling. How can Artificial Intelligence help? • Artificial Intelligence allows us to create models of natural phenomena, of which we then observe their behaviour. • Different premises can be implemented in the models, allowing us to get an insight into the validity of the premises. – E.g. traffic modelling. Studying empiricism • Procedure – Collect chromatic data. – Extract colour categories. For this we use a clustering algorithm. – Compare extracted categories with each other and with human colour categories. • If empiricism holds, we would expect a high correlation between the extracted categories and human categories. Chromatic data • Three data sets: natural, urban and random Extracting categories Categoriesfrom fromnatural urban data: Categories data: Quantitative comparison • 11 categories extracted from natural and urban data 100 • Correlation with human colour categories 80 60 40 b 20 0 -20 -40 -60 -80 -100 -80 -60 -40 -20 0 20 a 40 60 80 100 Reflections on empiricism • The claim that human colour categories are specified by the distribution of chromatic stimuli in the world is not supported by our data. • However, there does seem to be a twofold influence by – The structure of the perceptual colour space. – The properties of perceptual categories. Studying culturalism • Procedure – Take a population of simulated individuals that learn colour categories and communicate about colour. • If culturalism holds, we expect linguistic interactions to cause sharing of colour categories. The simulations • Agent-based simulations – An agent is a simulated individual, with perception, categorisation, lexicalisation and communication. – Perception maps spectral power distribution onto an internal colour space. – Categorisation maps percepts onto categories, categories have prototypical behaviour. – Lexicalisation connects categories to words. – Communication takes care of uttering word forms. – The agents have no way to access the internal state of other agents: there is no telepathy! Results • Colour categories of two agents • Agents arrive at colour categories that are “shared”. Results (2) 40 40 35 35 30 40 b 20 0 30 60 25 Ratio 25 40 20 20 20 b category variance 60 0 15 15 -20 -20 10 -40 10 -40 Without language 60 60 5 40 -20 0 -40 a 20 1000 20 402000 3000 L 4000 5000 game 6000 7000 8000 a 80 With language 0 60 0 0 5 40 80 20 ratio between cv without and with language • Influence of linguistic interactions on categories. 60 0 -20 9000 -40 10000 20 40 L • But as language is culture-specific, cultural evolution cannot explain universalism. Summary • Empiricism is not a good candidate to explain universalism – There is not enough ecological pressure. • Culturalism can explain the sharing of categories in a culture, but not universalism. • Nativism can explain universalism, but is to slow to follow ecological changes. – Also, recent neurophysiological and molecular studies point out many differences in colour perception between individuals. Conclusion • A blend of all three positions is needed to explain universalism. • But language and culture play a crucial role as the catalysts which binds the perceptual categories of individuals. • Read the full story at http://arti.vub.ac.be Steels & Belpaeme (2005) Coordinating Perceptually Grounded Categories through Language: A Case Study for Colour. Behavioral and Brain Sciences. To appear.