Second Brain

Tag: topic/agent-based-modeling

54 items with this tag.

Nov 09, 2026
Global Sensitivity Analysis - Overview
Nov 09, 2026
Local vs Global Sensitivity Analysis
Nov 09, 2026
Morris Elementary Effects Screening
Nov 09, 2026
Sampling and Estimation for Sobol Indices
Nov 09, 2026
Variance-Based Sensitivity and Sobol Indices
Nov 09, 2026
Generative Agents Architecture - Memory, Reflection and Planning
Nov 09, 2026
Homo Silicus - LLMs as Simulated Economic Agents
Nov 09, 2026
LLM Agents vs Rule-Based Agents in ABM
Nov 09, 2026
LLM-Powered Agents - Overview
Nov 09, 2026
Opinion Alignment Metrics for Language Models
Nov 09, 2026
Persona Mixture Calibration of LLM Agents
Nov 09, 2026
Silicon Samples and Algorithmic Fidelity
Nov 09, 2026
Validity, Bias and Calibration of LLM-Simulated Populations
Nov 09, 2026
Neural SBI for Agent-Based and Economic Models
Oct 13, 2026
ABM in Marketing Strategy
Sep 23, 2026
Q: For calibrating an agent-based model, how do I choose among SMM, indirect inference, EMM, synthetic likelihood, ABC, history matching, genetic-algorithm calibration and neural posterior / likelihood / ratio estimation?
Sep 23, 2026
Q: When can LLM 'silicon samples' stand in for consumer data or hand-written decision rules in an agent-based model, and what validation protocol is needed?
Sep 23, 2026
LLM-Powered Agents - Index
Sep 18, 2026
Q: Honest DiD, Rosenbaum-style sensitivity analysis for unobserved confounding, Plausible GMM's prior over moment misspecification, synthetic-control placebo and backdating checks, prior/likelihood power-scaling sensitivity and Sobol global sensitivity indices all ask how wrong the assumptions can be before the conclusion changes. What would a unified view look like?
Sep 18, 2026
Q: The vault uses 'calibration' in at least four senses — simulation-based calibration of a Bayesian computation, coverage calibration in conformal prediction, probabilistic calibration of forecasts under proper scoring rules, and parameter calibration of agent-based models (plus uncertainty calibration of probabilistic numerical solvers and LLM-population calibration). What does each one guarantee, and what does it not?
Sep 18, 2026
ABM Calibration Case Studies
Sep 18, 2026
ABM Calibration Overview
Sep 18, 2026
Approximate Bayesian Computation for ABMs
Sep 18, 2026
GA Fitness Evaluation and the RAM
Sep 18, 2026
Genetic Algorithm Calibration for ABM
Sep 18, 2026
HM-ABC Calibration Framework
Sep 18, 2026
History Matching for ABMs
Sep 18, 2026
Uncertainty Quantification for ABM Calibration
Sep 18, 2026
ABM Validation Challenges
Sep 18, 2026
Karakaya et al 2011 - Overview
Sep 18, 2026
Logit Purchase Decision Model
Sep 18, 2026
Heterogeneity in Agent Models
Sep 18, 2026
Agent Decision Rules and Bounded Rationality
Sep 18, 2026
Q: How can SMM be used to calibrate agent based models?
Sep 18, 2026
Ben Said et al 2002 - Overview
Sep 18, 2026
ABM Methodology and Principles
Sep 18, 2026
Emergent Phenomena in ABM
Sep 18, 2026
Opinion Leaders and Social Influence
Sep 18, 2026
Word of Mouth Mechanisms
Jun 28, 2026
Population Initialization and Parameter Sensitivity
Jun 17, 2026
Behavioral Attitudes in CUBES
Apr 13, 2026
Organizational Simulation
Apr 13, 2026
CUBES Simulator Architecture
Apr 12, 2026
Consumer Utility Function Components
Apr 12, 2026
ABM vs Equation-Based Modeling
Apr 12, 2026
Product Adoption and Diffusion Models
Apr 11, 2026
Flow Simulation Applications
Apr 11, 2026
Market and Financial Simulation
Apr 11, 2026
Operational Risk Modeling with ABM
Apr 11, 2026
Behavioral Primitives and Thresholds
Apr 11, 2026
Imitation and Conditioning Processes
Apr 11, 2026
Market Share Equilibrium and Lock-In
Apr 11, 2026
Network Topology Effects on Diffusion
Apr 11, 2026
Social Network Formation in Consumer Markets

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