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Conference Diagrams (Conference) (9th : 2016 : Philadelphia, Pa.)
Title Diagrammatic representation and inference : 9th international conference, Diagrams 2016, Philadelphia, PA, USA, August 7-10, 2016 : proceedings / Mateja Jamnik, Yuri Uesaka, Stephanie Elzer Schwartz (eds.)
Imprint Switzerland : Springer, 2016.

LOCATION CALL # STATUS MESSAGE
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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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Series Lecture notes in artificial intelligence ; 9781
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science. Lecture notes in artificial intelligence ; 9781.
LNCS sublibrary. SL 7, Artificial intelligence.
Subject Graphic methods -- Congresses.
Visual communication -- Congresses.
Computer graphics -- Congresses.
Alt Name Jamnik, Mateja, 1973-
Uesaka, Yuri,
Schwartz, Stephanie Elzer,
Add Title Diagrams 2016
Description 1 online resource (xix, 301 pages) : illustrations.
Note International conference proceedings.
Bibliography Note Includes bibliographical references and author index.
Summary This book constitutes the refereed proceedings of the 9th International Conference on the Theory and Application of Diagrams, Diagrams 2016, held in Philadelphia, PA, USA, in August 2016. The 12 revised full papers and 11 short papers presented together with 5 posters were carefully reviewed and selected from 48 submissions. The papers are organized in the following topical sections: cognitive aspects of diagrams; logic and diagrams; Euler and Venn diagrams; diagrams and education; design principles for diagrams; diagrams layout.
Contents Intro; Preface; Organization; The Power of Diagrams in Science and Challenges of Diagrams in Science Education; The Visualizing Spirit in the Twenty-First Century; Graduate Symposium; Workshop and Tutorials; Contents; Cognitive Aspects of Diagrams; Diagrams Affect Choice of Strategy in Probability Problem Solving; Abstract; 1 Introduction; 1.1 Background; 1.2 The Present Study; 2 Method; 2.1 Participants; 2.2 Materials; 2.3 Design and Procedure; 3 Results; 3.1 Coding; 3.2 Analysis of the Work-Group (Combinations) Problem: Effects of the N-by-N Table Versus the Binary Tree
3.3 Analysis of the Spinner (Independent Events) Problem: Effects of the N-by-N Table Versus the N-ary Tree4 General Discussion; References; What Constitutes an Effective Representation?; Abstract; 1 Introduction; 2 Sample Topic and Representations: Particle Collisions; 3 Access to Concepts: From ER to IR; 4 Generating ERs; 5 Discussion; References; Measuring User Comprehension of Inference Rules in Euler Diagrams; 1 Introduction; 2 Euler Diagrams; 3 Experimental Design; 4 Analysis; 5 Interpretation; 6 Conclusion; References; Exploring Representations of Student Time-Use; 1 Introduction
1.1 Space and Time as Representational Media1.2 Flexibility in Representation; 2 Method; 2.1 Materials and Procedure; 2.2 Coding Scheme; 3 Results; 3.1 Use of Space; 3.2 Use of Form; 3.3 Primary Mechanisms; 4 Discussion; 4.1 Student Productions; 4.2 Implications and Future Work; References; Logic and Diagrams; Evaluating Diagrammatic Patterns for Ontology Engineering; 1 Introduction; 2 Concept Diagrams; 3 Ontology Patterns; 3.1 Patterns Involving only Classes; 3.2 Patterns Involving Classes and Properties; 3.3 All Values From Patterns; 3.4 Some Values From Patterns; 3.5 Domain Patterns
3.6 Range Patterns4 Empirical Study; 4.1 Experiment Execution; 5 Results; 5.1 Overall Analysis; 5.2 All Values from Analysis; 5.3 Some Values from Analysis; 5.4 Domain Analysis; 5.5 Range Analysis; 5.6 Summary of Analysis; 6 Discussion; 7 Conclusion; References; The Interaction Between Logic and Geometry in Aristotelian Diagrams; 1 Introduction; 2 Informational and Computational Equivalence; 3 Logic Versus Geometry in Aristotelian Diagrams; 4 Aristotelian Diagrams with Two PCDs; 5 Aristotelian Diagrams with Three PCDs; 6 Conclusions and Future Work; References
A Generic Approach to Diagrammatic Representation: The Case of Single Feature Indicator Systems1 Introduction; 2 The General Picture; 3 Channel Theory and Representation Systems; 3.1 Types; 3.2 Constraints; 3.3 Theories; 3.4 Representation Systems; 4 Observations Underlying the Concept of SFIS; 4.1 First Observation: Roles; 4.2 Second Observation: Values; 4.3 Third Observation: Features in the Source Domain; 4.4 Fourth Observation: Feature in the Target Domain; 4.5 Fifth Observation: Semantic Correspondence of Features; 5 Single Feature Indicator Systems -- Formalized; 5.1 Features
Note Online resource; title from PDF title page (SpringerLink, viewed August 2, 2016).
ISBN 9783319423333 (electronic bk.)
3319423339 (electronic bk.)
9783319423326 (print)
OCLC # 954461641