A Primer to Causal Reasoning about a Complex World.
Main Author: | |
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Other Authors: | , , , , , , , |
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer,
2024.
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Edition: | 1st ed. |
Series: | SpringerBriefs in Philosophy Series
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Subjects: | |
Online Access: | Click to View |
Table of Contents:
- Intro
- Preface
- Contents
- 1 Introduction: Causation in Social-Ecological Systems
- References
- Part I Semantics of Causal Expressions
- 2 Causal Talk Permeates Ordinary Language
- 2.1 Introduction
- 2.2 Causal Phrases
- 2.3 Some Remarks on the Semantics of `Cause', `Effect' and Their Cognates
- 2.3.1 Causal Relations Between Events/States of Affairs
- 2.3.2 Causal Relations Between Categories
- 2.3.3 Causal Relations Between Quantitative Variables
- 2.3.4 Common Causes
- 2.4 Causal Powers
- 2.5 Summary
- References
- 3 Causal Talk Is Fundamental
- 3.1 Introduction: The Pervasiveness of Causal Talk
- 3.2 Attempts to Define `Cause'
- 3.3 Are Causal Connections Observable?
- 3.4 Hume's Criteria for the Use of `Cause'
- 3.5 Summary
- References
- 4 Causation, Counterfactual Dependence and Potential Outcomes
- 4.1 Introduction
- 4.2 Goodman on Counterfactuals
- 4.3 Woodward's Account of Causation
- 4.4 Potential Outcomes Instead of Counterfactuals?
- 4.5 Summary
- References
- Part II Causation in Science
- 5 Causal Relations and Causal Relata in Science
- 5.1 Introduction
- 5.2 Singular Versus General Causation
- 5.2.1 Causal Relations Between Singular Events/Statesof Affairs
- 5.2.2 Generalised Causal Relations
- 5.3 Causation in Qualitative Studies
- 5.4 Causation and Feedback Loops
- 5.5 Causation and Probability
- 5.6 Many Causes: INUS-Conditions
- 5.7 Summary
- References
- 6 Causation, Laws and Regularities
- 6.1 Laws and Causation
- 6.2 Laws, Regularities and Ceteris Paribus Clauses
- 6.2.1 The Form of Laws
- 6.2.2 Strict and Not-So-Strict Laws
- 6.3 Correlation, Regression and Causation
- 6.4 Correlations Between Boolean Variables
- 6.5 Directed Graphs and Structural Equations
- 6.5.1 Directed Graphs
- 6.5.2 Structural Equations
- 6.5.3 Bayesian Networks
- 6.6 Non-linear Dynamics.
- 6.6.1 Predictions and Non-linear Dynamics
- 6.7 Causation, Manipulation and Intervention
- 6.8 Summary
- References
- 7 Inferences from Statistics to Causation
- 7.1 Inferences from Correlations and Regressions
- 7.2 Natural Experiments
- 7.3 Controlling for Covariates
- 7.4 Regression Analysis
- 7.5 Heuristic: Hill's Criteria
- 7.6 Summary
- References
- 8 Causal Explanations
- 8.1 Explanation-Seeking Questions
- 8.2 Explanations
- 8.3 Different Kinds of Explanations
- 8.3.1 Constitutive Explanations
- 8.3.2 Teleological Explanations
- 8.3.3 Functional Explanations
- 8.3.4 Intentional Explanations
- 8.4 Causal Explanation and Mechanisms
- 8.5 Some Special Mechanisms
- 8.5.1 Confounder Mechanisms
- 8.5.2 Feedback Mechanisms
- 8.5.3 Bifurcation Mechanisms
- 8.6 Summary
- References
- Part III Causation in Complex SES
- 9 Causation in Social-Ecological Systems Research
- 9.1 Introduction
- 9.2 Causal Reasoning About Social-Ecological Systems
- 9.3 Causal Reasoning in a Study
- 9.4 Causal Configuration
- 9.5 Interpreting Results
- 9.6 Making and Justifying Causal Claims
- 9.7 Diversity of Causal Reasoning
- 9.7.1 Study 1: Quantifying the Effect of Community-Based Monitoring on Groundwater Management: A Statistical Causal Inference Approach
- 9.7.2 Study 2: Synchronous Failure: The Emerging Causal Architecture of Global Crisis
- 9.7.3 Study 3: Exploring the Importance of Social Processes for the Collapse of the Baltic Cod Stocks: A Modelling Approach
- 9.7.4 Study 4: Explaining Emergent Patterns of Self- Governance Arrangements in Small-Scale Fisheries: A Modelling Approach
- 9.7.5 Study 5: Addressing the Challenges of Climate Adaptation: A Practice-Based Approach to Transdisciplinary Sustainability Interventions
- 9.8 Summary of Examples
- 9.9 Navigating the Diversity of Causal Reasoning
- 9.10 Summary.
- References
- A How Does a Theory Relate to Reality?
- B Models
- C Confidence Intervals and Correlations
- C.1 Confidence Intervals
- C.2 Confidence Intervals for Correlations
- Glossary
- Bibliography
- Index.