Learning Spatial Prototypes

Abstract This paper considers spatial prototypes as cognitive structures that are encoded into memory through experiences with spatial information. A prototype represents a category of information in your memory and serves as an abstraction of the most typical or central member of that category. Results from an experimental study are compared with results from a simulation. The purpose of the experiment is to understand the factors that influence the formation of spatial prototypes in human memory. The purpose of the simulation is to evaluate the ability of neural network models to learn spatial prototypes. Human subjects learn the nature of four categories of maps by viewing individual maps that are instances of the categories. The prototypes for the categories are defined by the variation of the location, size, and orientation of an island on the maps. Subjects then evaluate all possible maps to determine how typical each map is of the category. An analysis of variance reveals that subjects are able to ...

[1]  E. Rosch Cognitive reference points , 1975, Cognitive Psychology.

[2]  Mark Monmonier,et al.  Authoring Graphic Scripts: Experiences and Principles , 1992 .

[3]  Herbert A. Simon,et al.  Why a Diagram is (Sometimes) Worth Ten Thousand Words , 1987 .

[4]  W. Clark,et al.  Chapter 12 Search and Choice in Urban Housing Markets , 1993 .

[5]  Barbara Tversky,et al.  Distortions in cognitive maps , 1992 .

[6]  J. Hampton Overextension of Conjunctive Concepts: Evidence for a Unitary Model of Concept Typicality and Class Inclusion , 1988 .

[7]  E. Rosch,et al.  The Embodied Mind: Cognitive Science and Human Experience , 1993 .

[8]  M. Minsky The Society of Mind , 1986 .

[9]  Barbara Hayes-Roth,et al.  Differences in spatial knowledge acquired from maps and navigation , 1982, Cognitive Psychology.

[10]  M Naveh-Benjamin,et al.  Coding of spatial location information: an automatic process? , 1987, Journal of experimental psychology. Learning, memory, and cognition.

[11]  E. Rosch,et al.  Cognition and Categorization , 1980 .

[12]  R. Golledge,et al.  Behavioral problems in geography : a symposium , 1971 .

[13]  Jerome R. Busemeyer,et al.  A New Method for Investigating Prototype Learning , 1988 .

[14]  L. Hasher,et al.  Automatic and effortful processes in memory. , 1979 .

[15]  R. Downs,et al.  Image and Environment: Cognitive Mapping and Spatial Behavior , 2017 .

[16]  Jean-Claude Thill,et al.  Mental Maps and Fuzziness in Space Preferences , 1993 .

[17]  Douglas Amedeo Chapter 4 Emotions in Person-Environment-Behavior Episodes , 1993 .

[18]  E. Bruce MacDougall,et al.  Exploratory Analysis, Dynamic Statistical Visualization, and Geographic Information Systems , 1992 .

[19]  E. Rosch The nature of mental codes for color categories. , 1975 .

[20]  John Jonides,et al.  Estimating frequency of occurrence. , 1987 .

[21]  Timothy L. Nyerges,et al.  Geographic Information Abstractions: Conceptual Clarity for Geographic Modeling , 1991 .

[22]  Kevin Lynch,et al.  The Image of the City , 1960 .

[23]  B. Tversky,et al.  Categories of environmental scenes , 1983, Cognitive Psychology.

[24]  B. Malt,et al.  An on-line investigation of prototype and exemplar strategies in classification. , 1989, Journal of experimental psychology. Learning, memory, and cognition.

[25]  Terence R. Smith,et al.  KBGIS-II A knowledge-based geographical information system , 1986, Int. J. Geogr. Inf. Sci..

[26]  J Ronald Eastman GRAPHIC ORGANIZATION AND MEMORY STRUCTURES FOR MAP LEARNING , 1985 .

[27]  Reginald G. Golledge,et al.  Spatial Knowledge Acquisition by Children: Route Learning and Relational Distances , 1992 .

[28]  L. Hedges,et al.  Categories and particulars: prototype effects in estimating spatial location. , 1991, Psychological review.

[29]  S. Kosslyn,et al.  Why are What and Where Processed by Separate Cortical Visual Systems? A Computational Investigation , 1989, Journal of Cognitive Neuroscience.

[30]  Alan M. MacEachren,et al.  Application of Environmental Learning Theory to Spatial Knowledge Acquisition from Maps , 1992 .

[31]  James L. McClelland,et al.  Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .

[32]  R. A. York,et al.  Indications of environmental schemata from thoughts about environments , 1990 .

[33]  Robert Lloyd,et al.  The Estimation of Distance and Direction from Cognitive Maps , 1989 .

[34]  David Medyckyj-Scott,et al.  Human spatial cognition: Its relevance to the design and use of spatial information systems , 1992 .

[35]  Terry A. Slocum,et al.  Knowledge Acquisition from Choropleth Maps , 1993 .

[36]  James L. McClelland,et al.  Parallel Distributed Processing: Explorations in the Microstructure of Cognition : Psychological and Biological Models , 1986 .

[37]  Reginald G. Golledge,et al.  Place recognition and wayfinding: Making sense of space , 1992 .

[38]  Robert Lloyd,et al.  Chapter 6 Cognitive Processes and Cartographic Maps , 1993 .

[39]  P. Heidorn,et al.  Chapter 7 The Structure of Cognitive Maps: Representations and Processes , 1993 .

[40]  T. Saarinen Perception of the drought hazard on the Great Plains , 1966 .

[41]  R. Lloyd A Look at Images , 1982 .

[42]  R. Lloyd,et al.  The effects of map projections and map distance on emotional involvement with places , 1991 .

[43]  Terry A. Slocum,et al.  EXPLOREMAP: An Exploration System for Choropleth Maps , 1992 .

[44]  Martin Charlton,et al.  A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets , 1987, Int. J. Geogr. Inf. Sci..

[45]  R. Kasperson,et al.  Chapter 8 Hazard Perception and Geography , 1993 .

[46]  P. Kay Basic Color Terms: Their Universality and Evolution , 1969 .

[47]  Robert Lloyd,et al.  Cognitive Maps: Encoding and Decoding Information , 1989 .

[48]  H. J. Muller,et al.  SEarch via Recursive Rejection (SERR): A Connectionist Model of Visual Search , 1993, Cognitive Psychology.

[49]  Mark W. Altom,et al.  Given versus induced category representations: use of prototype and exemplar information in classification. , 1984, Journal of experimental psychology. Learning, memory, and cognition.

[50]  J. Tanaka,et al.  Object categories and expertise: Is the basic level in the eye of the beholder? , 1991, Cognitive Psychology.

[51]  D. Lowenthal GEOGRAPHY, EXPERIENCE, AND IMAGINATION: TOWARDS A GEOGRAPHICAL EPISTEMOLOGY1 , 1961 .

[52]  S. Openshaw,et al.  A Natural Principle for the Objective Generalization of Digital Maps , 1993 .

[53]  Eliot R. Smith,et al.  Exemplar-Based Model of Social Judgment , 1992 .

[54]  Bernard Widrow,et al.  Adaptive switching circuits , 1988 .

[55]  James L. McClelland,et al.  Distributed memory and the representation of general and specific information. , 1985, Journal of experimental psychology. General.

[56]  E. R. Heider "Focal" color areas and the development of color names. , 1971 .

[57]  S. Kosslyn,et al.  Categorical versus coordinate spatial relations: computational analyses and computer simulations. , 1992, Journal of experimental psychology. Human perception and performance.

[58]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[59]  Timothy L. Nyerges,et al.  Schema integration analysis for the development of GIS databases , 1989, Int. J. Geogr. Inf. Sci..

[60]  Y. Tuan IMAGES AND MENTAL MAPS , 1975 .

[61]  S. Gelman The development of induction within natural kind and artifact categories , 1988, Cognitive Psychology.

[62]  Jerome R. Busemeyer,et al.  Measurement-free tests of a general state-space model of prototype learning , 1992 .

[63]  Bobby R. Hunt,et al.  Extraction of shoreline features by neural nets and image processing , 1991 .

[64]  Mark Monmonier,et al.  Graphic scripts for the sequenced visualization of geographic data , 1989 .

[65]  Wayne D. Gray,et al.  Basic objects in natural categories , 1976, Cognitive Psychology.

[66]  S. Kosslyn,et al.  Wet Mind: The New Cognitive Neuroscience , 1995 .

[67]  P. Gould ACQUIRING SPATIAL INFORMATION , 1975 .

[68]  Mark L. Johnson The body in the mind: the bodily basis of meaning , 1987 .

[69]  G. O. Stone,et al.  An analysis of the delta rule and the learning of statistical associations , 1986 .

[70]  George Lakoff,et al.  Women, Fire, and Dangerous Things , 1987 .

[71]  E. R. Heider Universals in color naming and memory. , 1972, Journal of experimental psychology.

[72]  E. Rosch Cognitive Representations of Semantic Categories. , 1975 .

[73]  Shouhong Wang,et al.  Fuzzy set representation of neural network classification boundaries , 1991, IEEE Trans. Syst. Man Cybern..

[74]  Gregory Ashby,et al.  Decision rules in the perception and categorization of multidimensional stimuli. , 1988, Journal of experimental psychology. Learning, memory, and cognition.

[75]  Geoffrey E. Hinton,et al.  Schemata and Sequential Thought Processes in PDP Models , 1986 .

[76]  E. Rosch,et al.  Family resemblances: Studies in the internal structure of categories , 1975, Cognitive Psychology.

[77]  D. O. Hebb,et al.  The organization of behavior , 1988 .