Handbook of Categorization in Cognitive Science, Second Edition presents the study of categories and the process of categorization as viewed through the lens of the founding disciplines of the cognitive sciences, and how the study of categorization has long been at the core of each of these disciplines.
The literature on categorization reveals there is a plethora of definitions, theories, models and methods to apprehend this central object of study. The contributions in this handbook reflect this diversity. For example, the notion of category is not uniform across these contributions, and there are multiple definitions of the notion of concept. Furthermore, the study of category and categorization is approached differently within each discipline.
For some authors, the categories themselves constitute the object of study, whereas for others, it is the process of categorization, and for others still, it is the technical manipulation of large chunks of information. Finally, yet another contrast has to do with the biological versus artificial nature of agents or categorizers.
1. Introduction to the Second Edition - p. gxxv 2. Chapter 1. Bridging the Category Divide: Introduction to the First Edition - p. g1 3. Part I: Categorization in Cognitive Science - p. g17 4. Chapter 2. To Cognize is to Categorize: Cognition is Categorization - p. g21 5. Chapter 3. The Role of Top-Down and Bottom-Up Mechanisms in the Maintenance of the Self-Concept: A Behavioral and Neuroscience Review - p. g55 6. Chapter 4. Categories and Cognitive Anthropology - p. g75 7. Chapter 5. Emotion Categorization - p. g107 8. Chapter 6. Philosophical Analysis as Cognitive Psychology: The Importance of Empty Concepts - p. g127 9. Part II: Neuroscience of Categorization and Category Learning - p. g151 10. Chapter 7. Multiple Systems of Perceptual Category Learning: Theory and Cognitive Tests - p. g157 11. Chapter 8. The Neuropsychology of Perceptual Category Learning - p. g189 12. Chapter 9. Categorization in Neuroscience: Brain Response to Objects and Events - p. g227 13. Chapter 10. Neural Regions Associated With Categorical Speech Perception and Production - p. g253 14. Chapter 11. Food Perception and Categorization: From Food/No-Food to Different Types of Food - p. g271 15. Part III: Semantic Categories - p. g283 16. Chapter 12. Semantic Categorization - p. g291 17. Chapter 13. Emotion Categories Across Languages - p. g313 18. Chapter 14. Relations Between Language and Thought: Individuation and the Count/Mass Distinction - p. g353 19. Chapter 15. Event Categorization in Sign Languages - p. g377 20. Chapter 16. Semantic Categories in Acquisition - p. g397 21. Chapter 17. Atoms, Categorization, and Conceptual Change - p. g423 22. Part IV: Syntactic Categories - p. g435 23. Chapter 18. Lexical, Functional, Crossover, and Multifunctional Categories - p. g439 24. Chapter 19. Isolating-Monocategorial-Associational Language - p. g471 25. Chapter 20. Linguistic Categories in Language Contact: Modularity and Diversity - p. g511 26. Chapter 21. Syntactic Categorization in Sign Languages - p. g549 27. Chapter 22. Syntactic Categories in Child Language Acquisition: Innate, Induced, or Illusory? - p. g567 28. Chapter 23. Syntactic Categories in Second Language Acquisition - p. g581 29. Part V: Development of Categories - p. g599 30. Chapter 24. Constructing Race: How People Categorize Others and Themselves in Racial Terms - p. g607 31. Chapter 25. How Experience Affects Infants’ Facial Categorization - p. g637 32. Chapter 26. The Development of Object Categories: What, When, and How? - p. g653 33. Chapter 27. Categorization and Aging - p. g673 34. Chapter 28. Auditory and Phonetic Category Formation - p. g687 35. Chapter 29. Perceptual and Abstract Category Learning in Pigeons - p. g709 36. Part VI: Grounding and Categories in Perception and Inference - p. g729 37. Chapter 30. Situated Conceptualization - p. g735 38. Chapter 31. The Construction of Category Membership Judgments: Towards a Distributed Model - p. g773 39. Chapter 32. Connectionist and Robotics Approaches to Grounding Symbols in Perceptual and Sensorimotor Categories - p. g795 40. Chapter 33. Embodied Categorization - p. g819 41. Chapter 34. The Construction of Perceptual and Semantic Features During Category Learning - p. g851 42. Chapter 35. Categorization, Reasoning, and Memory From a Neo-Logical Point of View - p. g883 43. Chapter 36. The Time Course of Object, Scene, and Face Categorization - p. g905 44. Chapter 37. The Return of Concept Empiricism - p. g931 45. Part VII: Machine Category Learning and Data Mining - p. g949 46. Chapter 38. Category Formation in Self-Organizing Embodied Agents - p. g953 47. Chapter 39. Concept Learning and Nonmonotonic Reasoning - p. g977 48. Chapter 40. Categorization in Symbolic Data Analysis - p. g1002 49. Chapter 41. An Information-Based Discussion of Borderline Cases in Categorization: Six Scenarios Leading to Vagueness - p. g1029 50. Chapter 42. The Neurodynamics of Categorization: Critical Challenges and Proposed Solutions - p. g1053 51. Chapter 43. Genre-Specific Text Mining and Extensional Inductive Concept Recognition: A Pseudocognitive Approach - p. g1077 52. Chapter 44. Graph Matching, System Design and Knowledge Modeling - p. g1099 53. Part VIII: The Naturalization of Categories - p. g1111 54. Chapter 45. Nominalism and the Theory of Concepts - p. g1115 55. Chapter 46. Why Do We Think Racially? Culture, Evolution, and Cognition - p. g1135 56. Chapter 47. How Language Influences the Way We Categorize Hybrids - p. g1177 57. Chapter 48. Neurosemantics and Categories - p. g1201 58. Index - p. g1225
Handbook of Categorization in Cognitive Science, Second Edition presents the study of categories and the process of categorization as viewed through the lens of the founding disciplines of the cognitive sciences, and how the study of categorization has long been at the core of each of these disciplines.
The literature on categorization reveals there is a plethora of definitions, theories, models and methods to apprehend this central object of study. The contributions in this handbook reflect this diversity. For example, the notion of category is not uniform across these contributions, and there are multiple definitions of the notion of concept. Furthermore, the study of category and categorization is approached differently within each discipline.
For some authors, the categories themselves constitute the object of study, whereas for others, it is the process of categorization, and for others still, it is the technical manipulation of large chunks of information. Finally, yet another contrast has to do with the biological versus artificial nature of agents or categorizers.
1. Introduction to the Second Edition - p. gxxv 2. Chapter 1. Bridging the Category Divide: Introduction to the First Edition - p. g1 3. Part I: Categorization in Cognitive Science - p. g17 4. Chapter 2. To Cognize is to Categorize: Cognition is Categorization - p. g21 5. Chapter 3. The Role of Top-Down and Bottom-Up Mechanisms in the Maintenance of the Self-Concept: A Behavioral and Neuroscience Review - p. g55 6. Chapter 4. Categories and Cognitive Anthropology - p. g75 7. Chapter 5. Emotion Categorization - p. g107 8. Chapter 6. Philosophical Analysis as Cognitive Psychology: The Importance of Empty Concepts - p. g127 9. Part II: Neuroscience of Categorization and Category Learning - p. g151 10. Chapter 7. Multiple Systems of Perceptual Category Learning: Theory and Cognitive Tests - p. g157 11. Chapter 8. The Neuropsychology of Perceptual Category Learning - p. g189 12. Chapter 9. Categorization in Neuroscience: Brain Response to Objects and Events - p. g227 13. Chapter 10. Neural Regions Associated With Categorical Speech Perception and Production - p. g253 14. Chapter 11. Food Perception and Categorization: From Food/No-Food to Different Types of Food - p. g271 15. Part III: Semantic Categories - p. g283 16. Chapter 12. Semantic Categorization - p. g291 17. Chapter 13. Emotion Categories Across Languages - p. g313 18. Chapter 14. Relations Between Language and Thought: Individuation and the Count/Mass Distinction - p. g353 19. Chapter 15. Event Categorization in Sign Languages - p. g377 20. Chapter 16. Semantic Categories in Acquisition - p. g397 21. Chapter 17. Atoms, Categorization, and Conceptual Change - p. g423 22. Part IV: Syntactic Categories - p. g435 23. Chapter 18. Lexical, Functional, Crossover, and Multifunctional Categories - p. g439 24. Chapter 19. Isolating-Monocategorial-Associational Language - p. g471 25. Chapter 20. Linguistic Categories in Language Contact: Modularity and Diversity - p. g511 26. Chapter 21. Syntactic Categorization in Sign Languages - p. g549 27. Chapter 22. Syntactic Categories in Child Language Acquisition: Innate, Induced, or Illusory? - p. g567 28. Chapter 23. Syntactic Categories in Second Language Acquisition - p. g581 29. Part V: Development of Categories - p. g599 30. Chapter 24. Constructing Race: How People Categorize Others and Themselves in Racial Terms - p. g607 31. Chapter 25. How Experience Affects Infants’ Facial Categorization - p. g637 32. Chapter 26. The Development of Object Categories: What, When, and How? - p. g653 33. Chapter 27. Categorization and Aging - p. g673 34. Chapter 28. Auditory and Phonetic Category Formation - p. g687 35. Chapter 29. Perceptual and Abstract Category Learning in Pigeons - p. g709 36. Part VI: Grounding and Categories in Perception and Inference - p. g729 37. Chapter 30. Situated Conceptualization - p. g735 38. Chapter 31. The Construction of Category Membership Judgments: Towards a Distributed Model - p. g773 39. Chapter 32. Connectionist and Robotics Approaches to Grounding Symbols in Perceptual and Sensorimotor Categories - p. g795 40. Chapter 33. Embodied Categorization - p. g819 41. Chapter 34. The Construction of Perceptual and Semantic Features During Category Learning - p. g851 42. Chapter 35. Categorization, Reasoning, and Memory From a Neo-Logical Point of View - p. g883 43. Chapter 36. The Time Course of Object, Scene, and Face Categorization - p. g905 44. Chapter 37. The Return of Concept Empiricism - p. g931 45. Part VII: Machine Category Learning and Data Mining - p. g949 46. Chapter 38. Category Formation in Self-Organizing Embodied Agents - p. g953 47. Chapter 39. Concept Learning and Nonmonotonic Reasoning - p. g977 48. Chapter 40. Categorization in Symbolic Data Analysis - p. g1002 49. Chapter 41. An Information-Based Discussion of Borderline Cases in Categorization: Six Scenarios Leading to Vagueness - p. g1029 50. Chapter 42. The Neurodynamics of Categorization: Critical Challenges and Proposed Solutions - p. g1053 51. Chapter 43. Genre-Specific Text Mining and Extensional Inductive Concept Recognition: A Pseudocognitive Approach - p. g1077 52. Chapter 44. Graph Matching, System Design and Knowledge Modeling - p. g1099 53. Part VIII: The Naturalization of Categories - p. g1111 54. Chapter 45. Nominalism and the Theory of Concepts - p. g1115 55. Chapter 46. Why Do We Think Racially? Culture, Evolution, and Cognition - p. g1135 56. Chapter 47. How Language Influences the Way We Categorize Hybrids - p. g1177 57. Chapter 48. Neurosemantics and Categories - p. g1201 58. Index - p. g1225
