Michael Weisberg is Department Chair and Professor of Philosophy at the University of Pennsylvania.

Michael Weisberg has given us a lovely book on models. It has very broad coverage of issues intersecting the nature of models and their use, an extensive consideration of long ignored concrete models with a rich case study, a discussion and classification of the many diverse kinds of models, and a particularly groundbreaking and innovative discussion of similarity concerning how models relate to the world ... his analysis is both clear and rich.

• Contents ; Preface ; 1 Introduction ; 1.1 Two Aquatic Puzzles ; 1.2 Models of Modeling ; 2 Three Kinds of Models ; 2.1 Concrete Model: The San Francisco Bay-Delta Model ; 2.2 Mathematical Model: Lotka-Volterra Model ; 2.3 Computational Model: Schelling's Segregation Model ; 2.4 Common Features of these Models ; 2.5 Only Three Types of Models? ; 2.6 Fewer Than Three Types of Model? ; 3 The Anatomy of Models: Structure & Construal ; 3.1 Structure ; 3.1.1 Concrete Structures ; 3.1.2 Mathematical ; 3.1.3 Computational ; 3.2 Model Descriptions ; 3.3 Construal ; 3.4 Representational Capacity of Structures ; 4 Fictions and Folk Ontology ; 4.1 Against Maths: Individuation, Causes, and Face Value Practice ; 4.2 A Simple Fictions Account ; 4.3 Enriching the Simple Account ; 4.3.1 Waltonian Fictionalism ; 4.3.2 Fictions without Models ; 4.4 Why I am not a Fictionalist ; 4.4.1 Variation ; 4.4.2 Representational Capacity of Different Models ; 4.4.3 Making Sense of Modeling ; 4.4.4 Variation in Practice ; 4.5 Folk ontology ; 4.6 Maths, Interpretation, and Folk Ontology ; 5 Target Directed Modeling ; 5.1 Model Development ; 5.2 Analysis of the Model ; 5.2.1 Complete Analysis ; 5.2.2 Goal-directed Analysis ; 5.3 Model/Target Comparison ; 5.3.1 Phenomena and Target Systems ; 5.3.2 Establishing the fit between Model and Target ; 5.3.3 Representations of Targets ; 6 Idealization ; 6.1 Three Kinds of Idealization ; 6.1.1 Galilean idealization ; 6.1.2 Minimalist idealization ; 6.1.3 Multiple Models Idealization ; 6.2 Representational Ideals and Fidelity Criteria ; 6.2.1 Completeness ; 6.2.2 Simplicity ; 6.2.3 1-Causal ; 6.2.4 Maxout ; 6.2.5 P-General ; 6.3 Idealization and Representational Ideals ; 6.4 Idealization and Target Directed Modeling ; 7 Modeling Without a Specific Target ; 7.1 Generalized Modeling ; 7.1.1 How Possibly Explanations ; 7.1.2 Minimal Models and First Order Causal Structures ; 7.2 Hypothetical Modeling ; 7.2.1 Contingent Non-existence: xDNA ; 7.2.2 Impossible Targets: Infinite Population Growth and Perpetual Motion ; 7.3 Targetless Modeling ; 7.4 A Moving Target: The Case of Three-sex Biology ; 8 An Account of Similarity ; 8.1 Desiderata for Model/World Relations ; 8.2 Model Theoretic Accounts ; 8.3 Similarity ; 8.4 Tversky's Contrast Account ; 8.5 Attributes and Mechanisms ; 8.6 Feature Sets, Construals, and Target Systems ; 8.7 Modeling Goals and Weighting Parameters ; 8.8 Weighting Function and Background Theory ; 8.9 Satisfying the Desiderata ; 9 Robustness Analysis and Idealization ; 9.1 Levins and Wimsatt on Robustness ; 9.2 Robust Theorems ; 9.3 Three Kinds of Robustness ; 9.3.1 Parameter Robustness ; 9.3.2 Structural Robustness ; 9.3.3 Representational Robustness ; 9.4 Robustness and Confirmation ; 10 Conclusion: The Practice of Modeling ; References

Michael Weisberg is Department Chair and Professor of Philosophy at the University of Pennsylvania.

Michael Weisberg has given us a lovely book on models. It has very broad coverage of issues intersecting the nature of models and their use, an extensive consideration of long ignored concrete models with a rich case study, a discussion and classification of the many diverse kinds of models, and a particularly groundbreaking and innovative discussion of similarity concerning how models relate to the world ... his analysis is both clear and rich.

• Contents ; Preface ; 1 Introduction ; 1.1 Two Aquatic Puzzles ; 1.2 Models of Modeling ; 2 Three Kinds of Models ; 2.1 Concrete Model: The San Francisco Bay-Delta Model ; 2.2 Mathematical Model: Lotka-Volterra Model ; 2.3 Computational Model: Schelling's Segregation Model ; 2.4 Common Features of these Models ; 2.5 Only Three Types of Models? ; 2.6 Fewer Than Three Types of Model? ; 3 The Anatomy of Models: Structure & Construal ; 3.1 Structure ; 3.1.1 Concrete Structures ; 3.1.2 Mathematical ; 3.1.3 Computational ; 3.2 Model Descriptions ; 3.3 Construal ; 3.4 Representational Capacity of Structures ; 4 Fictions and Folk Ontology ; 4.1 Against Maths: Individuation, Causes, and Face Value Practice ; 4.2 A Simple Fictions Account ; 4.3 Enriching the Simple Account ; 4.3.1 Waltonian Fictionalism ; 4.3.2 Fictions without Models ; 4.4 Why I am not a Fictionalist ; 4.4.1 Variation ; 4.4.2 Representational Capacity of Different Models ; 4.4.3 Making Sense of Modeling ; 4.4.4 Variation in Practice ; 4.5 Folk ontology ; 4.6 Maths, Interpretation, and Folk Ontology ; 5 Target Directed Modeling ; 5.1 Model Development ; 5.2 Analysis of the Model ; 5.2.1 Complete Analysis ; 5.2.2 Goal-directed Analysis ; 5.3 Model/Target Comparison ; 5.3.1 Phenomena and Target Systems ; 5.3.2 Establishing the fit between Model and Target ; 5.3.3 Representations of Targets ; 6 Idealization ; 6.1 Three Kinds of Idealization ; 6.1.1 Galilean idealization ; 6.1.2 Minimalist idealization ; 6.1.3 Multiple Models Idealization ; 6.2 Representational Ideals and Fidelity Criteria ; 6.2.1 Completeness ; 6.2.2 Simplicity ; 6.2.3 1-Causal ; 6.2.4 Maxout ; 6.2.5 P-General ; 6.3 Idealization and Representational Ideals ; 6.4 Idealization and Target Directed Modeling ; 7 Modeling Without a Specific Target ; 7.1 Generalized Modeling ; 7.1.1 How Possibly Explanations ; 7.1.2 Minimal Models and First Order Causal Structures ; 7.2 Hypothetical Modeling ; 7.2.1 Contingent Non-existence: xDNA ; 7.2.2 Impossible Targets: Infinite Population Growth and Perpetual Motion ; 7.3 Targetless Modeling ; 7.4 A Moving Target: The Case of Three-sex Biology ; 8 An Account of Similarity ; 8.1 Desiderata for Model/World Relations ; 8.2 Model Theoretic Accounts ; 8.3 Similarity ; 8.4 Tversky's Contrast Account ; 8.5 Attributes and Mechanisms ; 8.6 Feature Sets, Construals, and Target Systems ; 8.7 Modeling Goals and Weighting Parameters ; 8.8 Weighting Function and Background Theory ; 8.9 Satisfying the Desiderata ; 9 Robustness Analysis and Idealization ; 9.1 Levins and Wimsatt on Robustness ; 9.2 Robust Theorems ; 9.3 Three Kinds of Robustness ; 9.3.1 Parameter Robustness ; 9.3.2 Structural Robustness ; 9.3.3 Representational Robustness ; 9.4 Robustness and Confirmation ; 10 Conclusion: The Practice of Modeling ; References