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Talking Prose All These Years: Agent-Based Modeling as Process-Oriented Analysis
1University of Leicester.
Summary
Agent-based modeling offers a powerful computational approach to advance process-oriented analysis. This simulation method provides empirical grounding and clarifies social processes, enhancing theoretical and methodological progress.
Area of Science:
- Social Sciences
- Computational Social Science
- Sociology
Background:
- Process-oriented analysis faces theoretical and methodological stagnation.
- Empirical validation is crucial for advancing social science debates.
- Existing methods may not adequately capture complex social processes.
Purpose of the Study:
- To explore the implications of agent-based modeling (ABM) for process-oriented analysis.
- To demonstrate how ABM can empirically ground and advance theoretical debates.
- To propose a synthesis between ABM and process-oriented analysis.
Main Methods:
- Utilizing agent-based modeling as a computational simulation approach.
- Applying ABM to a case study of ethnic residential segregation.
- Analyzing the capabilities of ABM for representing social processes.
Main Results:
- Agent-based modeling provides a natural framework for representing social processes.
- ABM offers empirical grounding for theoretical and methodological debates.
- The methodology of ABM possesses unique capabilities for advancing research.
Conclusions:
- Agent-based modeling can significantly enhance process-oriented analysis.
- A synthesis between ABM and process-oriented analysis offers productive avenues for research.
- ABM can clarify, instantiate, and potentially test process-related concepts.
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