The theme of the 2003 UQaM Summer Institute is CATEGORISATION
http://www.unites.uqam.ca/sccog/liens/program.html
Universite of Quebec @ Montreal: June 30 - July 11 2003
Day 1. CATEGORIZATION IN COGNITIVE SCIENCES
(all disciplines)
Categorization in cognitive neuroscience - S Grossberg (Boston U)
Categorization in psychology - S Harnad (UQaM)
Categorization in computer science - JF Sowa (LLC)
Categorization in linguistics - TBA
Categorization in Philosophy - TBA
Categorization in cognitive sciences - A Papafragou (Penn)
Day 2. SEMANTIC CATEGORIES
(anthropology, linguistics, philosophy, psychology)
Emotion categories across languages - J Boster (U Conn)
Semantic categorization - B Gillon (McGill)
Conceptual Change - P Thagard (Waterloo)
Biology of substance categories - R Millikan(U Conn)
Color categories across languages - P Kay (Berkeley)
Semantic categories - S Coulson (UCSD)
Day 3. SYNTACTIC CATEGORIES AND CATEGORY CHANGE
(linguistics)
Syntactic categories 1 - A Zwicky (Stanford)
Multifunctional categories - Lisa Travis (McGill)
Crossgcategorial constructions - R Malouf (Groningen)
Category change - Ian Roberts (Cambridge)
How different can languages be? - D Gil (MPI Leipzig)
Syntactic categories 2 - J Bobaljik (McGill)
Day 4. CATEGORIES IN SPOKEN AND SIGNED LANGUAGES
(linguistics and psychology)
Sign Language 1 - D Bouchard/C Dubuisson (UQaM)
Sign languages 2 - Judy Kegl (U So Maine)
Sign vs speech - D Lillo-Martin (U Conn)
ACQUISITION OF CATEGORIES
L1 acquisition - M Labelle (UQaM)
L2 acquisition - L White (McGill)
Categorisation and acquisition - E Clark (Stanford)
Day 5. DATA MINING FOR CATEGORIES AND ONTOLOGIES
(computer science, philosophy)
Graph structure clustering - G Mineau (Laval)
Data mining - Y Kodratoff (Paris-Sud XI)
Text mining - A Napoli (LORIA)
Computer-aided categorization - J-G Meunier (UQaM)
Categorization nets - R Proulx (UQaM)
Day 6. NEUROSCIENCE OF CATEGORIZATION AND CATEGORY LEARNING
(psychology, philosophy)
Neuropsychology of category learning - FG Ashby (Santa Barbara)
Striatum and category learning - WT Maddox (UT Austin)
Brain basis of category learning - J Gabrieli (Stanford)
Categorical speech perception/production - S Ravizza (Berkeley)
Neural nets - Pierre Poirier (UQaM)
Day 7. MACHINE CATEGORY LEARNING
(computer science, philosophy, robotics)
Conceptual spaces - P Gardenfors (Lund)
Symbolic learning - Patrick Gallinari (U PM Curie)
Similarity in fuzzy categories - D Dubois/H Prade (U P Sabatier)
Self-organizing vocabularies - S Nolfi (ICST Rome)
Inferential learning theory - RS Michalski (G Mason U)
Cognitive computation - SJ Hanson (Rutgers)
Day 8. PERCEPTION AND INFERENCE
(psychology, philosophy)
Perception to symbols - L Barsalou (Emory)
Return of conceptual empiricism - J Prinz (Wash U St-Louis)
Category representation - R Nosofsky (Indiana)
Category learning - R Goldstone (Indiana)
Categorization and inference - A Markman (UT Austin)
Perception and inference - S Coulson (UCSD)
Day 9. GROUNDING, RECOGNITION, AND REASONING
(psychology, philosophy)
Reference - S Larochelle (U Montreal)
Shape recognition - I Biederman (USC)
Object perception - PG Schyns (Glasgow)
Analogical reasoning - D Gentner (Northwestern)
Categorization and reasoning - S Robert (UQaM)
Day 10. THE NATURALIZATION OF CATEGORIES
(philosophy)
Nominalism and concepts - C Panaccio (UQTR)
Social construction of categories - L Faucher (UQaM)
Concept nativism - E Margolis (Rice)
Category neurosemantics - C Eliasmith (Waterloo)
Philosophical Analysis - G Rey (Maryland)
Registration information:
http://www.unites.uqam.ca/sccog/liens/registration.html
