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The Experimental Side of Modeling: Index of Subjects

The Experimental Side of Modeling
Index of Subjects
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table of contents
  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Preface and Acknowledgments
  6. Introduction
  7. 1. Models of Experiments
  8. 2. Dynamics, Data, and Noise in the Cognitive Sciences
  9. 3. Articulating the World: Experimental Practice and Conceptual Understanding
  10. 4. Modeling/Experimentation: The Synthetic Strategy in the Study of Genetic Circuits
  11. 5. Will Your Policy Work? Experiments versus Models
  12. 6. Causal Content and Global Laws: Grounding Modality in Experimental Practice
  13. 7. Experimental Flukes and Statistical Modeling in the Higgs Discovery
  14. 8. Values and Evidence in Model-Based Climate Forecasting
  15. 9. Validating Idealized Models
  16. Symposium on Measurement
    1. 10. Introduction: The Changing Debates about Measurement
    2. 11. Measurement Accuracy Realism
    3. 12. Let’s Take the Metaphysical Bull by the Horns
    4. 13. Taking the Metaphysical Bull by the Horns: Completing the Job
  17. Contributors
  18. Index of Names
  19. Index of Subjects

Index of Subjects

abstraction, 33, 45, 97, 120, 256, 278

acceptance, 22, 102, 237–38, 305–8, 312

adoption, 22, 308–9, 312

agent, 3, 55, 63, 65, 69, 114, 175, 177, 181–82, 202, 212, 219, 233–34, 262; agential, 3, 63, 65, 67–68

cause, 10, 14, 47, 98–99, 112–13, 122, 143, 152, 158, 167, 169–73, 175, 182, 184–85, 188, 235, 247, 255, 259, 315; causal law, 10, 54, 151, 160, 167, 187; causal model, 10–12, 19, 150–54, 158–59, 165, 171, 173–74, 177, 188; causal principle, 151–52, 159–60, 166; causation, 10, 169–71, 179, 183, 185, 187–88, 315

climate: climate change, 17, 218, 232, 235, 239, 258; climate science, 16–18, 218–19, 221–22, 224, 227, 229, 231, 233–35, 317

cognitive science, 4–5, 71–73, 75–81, 86–93, 315

conceptual articulation, 6–8, 94–95, 104, 109–11

conceptual development, 7, 45, 94, 96

concordance, 300–302, 304

confirmation, 18–19, 55, 63, 86, 213, 215, 240, 245, 249–50, 253, 258, 261–62

coordination dynamics, 5, 73, 76, 89, 92–93

Couette flow, 48–49, 54

counterfactual, 26, 77, 171–73, 175–78, 181, 184, 187, 247, 258, 269

data: data model, 2–3, 22, 25, 27, 37, 45, 48–51, 53, 61, 64, 65, 67, 69, 189, 267; data uncertainty, 235

economics, 78, 144, 146, 152, 174, 188, 315

empiricism, 54, 56, 110, 116, 145, 187, 239, 270–71, 299, 305–7, 311–13

error, 4, 15–16, 47, 71–72, 87–88, 100–101, 108, 120, 164, 191, 193, 195–98, 201–5, 210, 216–17, 224, 235–36, 239, 301, 316

fictionalism, 305, 309, 311

genetics, 101, 105, 129–31, 145, 263; gene regulation, 119, 125, 135; genetic circuit, 118–19, 121–25, 133, 135, 139, 141, 143, 147

globalism, 169–70, 179, 187

Higgs boson, 15–16, 193–94, 206–7, 213, 215, 217

idealization, 18, 22, 33, 62, 120, 146, 189, 244–45, 256, 259, 263, 279–86, 288–98, 301, 303, 307, 309–10, 312

interpretation, 6, 15–16, 22, 24–25, 37, 50–51, 65, 67, 94, 111, 177, 190–91, 193, 198, 203, 205, 210, 272–74, 296, 298, 305

intervention, 14, 120–21, 146, 148, 166–67, 171–78, 183–86

law, 14–15, 168–70, 173–83

Lotka–Volterra model, 125, 140, 145, 260

measurement, 1, 5, 11, 20–23, 30, 32–33, 35–37, 40–41, 43, 45–47, 50–51, 53–55, 57–58, 67, 71–72, 88, 103, 115, 146, 217, 224–25, 265, 267–79, 281, 285, 287–90, 292, 294–304, 307, 315; analytic theory of, 21, 267; representational theory of, 21, 267–70, 272

mechanics, 25, 27, 31, 34, 38, 44–45, 48, 52, 54, 57–58, 60, 99–100, 103–6, 112–14, 125–26, 128, 145, 168, 255, 269, 281, 285, 317; classical, 25, 27, 29, 31, 60, 101, 103–6, 112–15, 231, 240, 250, 282, 291, 300–301; fluid, 31, 34, 36–38, 40, 44–45, 48, 54, 57–58, 105, 122, 228, 255, 302, 308; relativity, 23, 57, 280–82, 297, 300

mechanism, 6, 14–15, 19, 76, 78, 83, 121, 124–32, 138–42, 144–45, 170, 174, 177–84, 186, 189, 199, 244, 250, 252–55, 257, 260

mediation, 8, 30–31, 96, 189

mediator, 7, 30–31, 54–56, 70, 96, 116

metaphysics, 14, 22, 180, 187–88, 299, 303, 311

method of isolation, 120, 146

methodological truism, 4–6, 71–72, 87–89

modality, 14, 26, 168, 177, 180–83, 186–87

model: BEFORE model, 242–45, 255–58, 260; deterministic model, 135; dynamical model, 5, 72, 76–79, 85, 90, 257; Haken-Kelso-Bunz model, 5, 73–75, 78, 90; model of the experiment, 2–5, 44, 51–52, 59–63, 65, 67–68, 269; model organism, 9–10, 121, 123–24, 129, 132, 135, 140–43; model validation, 18, 240, 245–46, 249–50, 258–59; operon model, 125; pattern oriented modeling, 257; representational model, 2, 60–62, 64–66, 67–69; representative model, 29, 112; statistical model, 16, 190–91, 194, 199, 287; synthetic model, 9–10, 118–19, 123–26, 132–33, 135–43; Wissel model, 241–45, 251, 256. See also data

neuroscience, 75, 81, 91, 142; noise, 4–6, 9, 53, 71–73, 75, 77, 79, 81–89, 91, 93, 109, 121, 135, 138, 145

nomological machine, 10, 100, 104

norm, 15, 39, 100, 110–11, 113; normativity, 7, 37, 100–101, 103–4, 107–8, 111, 115

observable, 95–96, 229, 247, 304–8

observation, 6, 16, 23–24, 39, 41, 46, 49, 59, 62–63, 73, 87–88, 95–96, 98, 102, 110, 131, 137, 178–79, 182, 196–97, 215–16, 226, 235, 241, 256, 270–71, 301, 306

oscillator, 9, 27, 72–73, 121, 134–38, 140, 142, 144, 147

parameter uncertainty, 222–23, 235

perception, 89–90, 93, 117, 185, 308–11

phenomena, 1, 3–8, 25, 28–32, 38, 42–43, 45, 50–51, 53–54, 56, 75–79, 88–89, 92, 95–106, 108–13, 115, 122, 124, 128, 131, 133, 142, 145–46, 180, 253, 257, 261, 303, 305–6, 308

phenomenology, 5, 31, 85–86, 88, 315

pragmatism, 299, 305

precisification, 292–93

presupposition, 17, 274, 276, 288–89, 297

probability: Bayesian, 15, 170, 179, 188–93, 197, 200, 202–3, 209–15, 227, 231; frequentist, 15, 189–93, 202, 205, 210–12, 214, 216–17; probabilism, 191–93, 203, 205, 210

psychology, 25, 71–72, 79–80, 87–90, 92–93, 170, 238, 272, 315

quantum, 23, 27, 52, 54, 57, 66, 101, 105, 113, 115, 168, 236, 280–82, 286, 316–17; quantum eraser experiment, 101; quantum field theory, 236, 281–82, 286, 316; quantum mechanics, 52, 113, 168, 317

realism, 14, 21–22, 24, 69, 170, 173, 247, 267, 273–75, 279, 282, 288–89, 295, 297, 300, 303, 307, 311, 315

received view, 10, 23–24, 27–28

reduction, 12, 78, 105, 114, 149–51, 153–55, 157–58, 169, 185, 250

relevance, 4, 42–43, 52, 56, 88, 92, 146, 192, 254, 316

representation, 2–3, 6, 18, 23, 25–26, 30–32, 39, 44, 50–51, 56–58, 62, 69, 79, 89–90, 96–97, 122, 136, 141, 145–47, 156, 195, 240–41, 243–46, 249, 254, 257–59, 262, 267–68, 272, 294, 296–97, 303–4, 308–13, 317

Repressilator, 9, 124, 132–36, 138, 141–42

Reynolds number, 34–36, 57–58

robustness, 9, 20–21, 111, 137, 215, 245, 259–61, 263, 285, 287–90, 292, 295, 297, 301, 304, 312

semantic approach, 26–28, 30, 304

severe testing principle, 199, 212, 214

severity principle, 199, 204, 208

significance level, 16, 190, 195–97, 212

significance test, 190–91, 193, 195, 207–9, 211, 213

similarity, 7, 9, 19, 52, 57–58, 77, 118, 122, 249–52, 258, 261, 263, 304, 317

simulation, 32, 38–40, 42–43, 53–56, 58, 79, 82, 93, 118, 120–22, 125, 128, 131–33, 135, 138, 140–41, 144–46, 164, 218, 222, 228–30, 238–39, 244, 250, 262–63, 317

superconductivity, 29, 53–54

supervenience, 105, 114

synergetics, 73–74, 77–79, 88, 90

synthetic biology, 118–19, 123–24, 126, 138–40, 143–46

testing principle, 199, 204, 208, 212, 214

uncertainty quantification, 16, 219

vagueness, 21–22, 284, 290, 292–94, 297–98, 309

validation, 15, 18–20, 237, 240, 245–46, 248–50, 252, 258–61

variance, 4, 71–72, 87–88, 194

velocity of light, 45, 55, 97

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