Agent-based and individual-based modeling: a practical introduction
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Princeton, NJ [u.a.]
Princeton Univ. Press
2012
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVIII, 329 S. Ill., graph. Darst. |
| ISBN: | 9780691136745 9780691136738 |
Internformat
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| 245 | 1 | 0 | |a Agent-based and individual-based modeling |b a practical introduction |c Steven F. Railsback and Volker Grimm |
| 246 | 1 | 3 | |a Agent based and individual based modeling |
| 264 | 1 | |a Princeton, NJ [u.a.] |b Princeton Univ. Press |c 2012 | |
| 300 | |a XVIII, 329 S. |b Ill., graph. Darst. | ||
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Datensatz im Suchindex
| _version_ | 1804148867528130560 |
|---|---|
| adam_text | Preface
xi
Acknowledgments
xvii
Parti Agent-Based Modeling and NetLogo Basics
7
1
Models, Agent-Based Models, and the Modeling Cycle
3
1.1
Introduction, Motivation, and Objectives
3
1.2
What Is a Model?
4
1.3
The Modeling Cycle
7
1.4
What Is Agent-Based Modeling? How Is It Different?
9
1.5
Summary and Conclusions
//
1.6
Exercises
12
2
Getting Started with NetLogo
75
2.1
Introduction and Objectives
75
2.2
A Quick Tour of NetLogo
16
2.3
A Demonstration Program: Mushroom Hunt
18
2.4
Summary and Conclusions
29
2.5
Exercises
32
3
Describing and Formulating ABMs: The ODD Protocol
35
3.1
Introduction and Objectives
35
3.2
What Is ODD and Why Use It?
36
3.3
The ODD Protocol
37
3.4
Our First Example: Virtual Corridors of Butterflies
42
3.5
Summary and Conclusions
44
3.6
Exercises
45
4
Implementing a First Agent-Based Model
4.1
Introduction and Objectives
47
4.2
ODD and NetLogo
47
47
4.3
Butterfly
Hilltopping:
From ODD to
NetLogo
48
4.4
Comments and the Full Program
55
4.5
Summary and Conclusions
58
4.6
Exercises
59
5
From Animations to Science
61
5.1
Introduction and Objectives
67
5.2
Observation of Corridors
62
5.3
Analyzing the Model
67
5.4
Time-Series Results: Adding Plots and File Output
67
5.5
A Real Landscape
69
5.6
Summary and Conclusions
72
5.7
Exercises
72
6
Testing Your Program
75
6.1
Introduction and Objectives
75
6.2
Common Kinds of Errors
76
6.3
Techniques for Debugging and Testing NetLogo Programs
79
6.4
Documentation of Tests
89
6.5
An Example and Exercise: The Marriage Model
90
6.6
Summary and Conclusions
92
6.7
Exercises
94
Partii
Model Design Concepts
95
7
Introduction to Part II
97
7.1
Objectives of Part II
97
7.2
Overview
98
8
Emergence
707
8.1
Introduction and Objectives
707
8.2
A Model with Less-Emergent Dynamics
702
8.3
Simulation Experiments and BehaviorSpace
103
8.4
A Model with Complex Emergent Dynamics
708
8.5
Summary and Conclusions
7 73
8.6
Exercises
7Î4
9
Observation
115
9.1
Introduction and Objectives
7 75
9.2
Observing the Model via NetLogo s View
716
9.3
Other Interface Displays
7 79
9.4
File Output
720
9.5
BehaviorSpace as an Output Writer
123
9.6
Export Primitives and Menu Commands
724
9.7
Summary and Conclusions
124
9.8
Exercises
725
10
Sensing
727
10.1
Introduction and Objectives
727
10.2
Who Knows What: The Scope of Variables
728
10.3
Using Variables of Other Objects
737
10.4
Putting Sensing to Work: The Business Investor Model
732
vi
Contents
10.5
Summary and
Conclusions
140
10.6
Exercises
747
11
Adaptive Behavior and Objectives
143
11.1
Introduction and Objectives
143
11.2
Identifying and Optimizing Alternatives in NetLogo
144
11.3
Adaptive Behavior in the Business Investor Model
148
11.4
Non-optimizing Adaptive Traits: A Satisficing Example
149
11.5
The Objective Function
152
11.6
Summary and Conclusions
753
11.7
Exercises
154
12
Prediction
157
12.1
Introduction and Objectives
157
12.2
Example Effects of Prediction: The Business Investor Model s Time Horizon
158
12.3
Implementing and Analyzing Submodels
159
12.4
Analyzing the Investor Utility Function
163
12.5
Modeling Prediction Explicitly
165
12.6
Summary and Conclusions
166
12.7
Exercises
167
13
Interaction
169
13.1
Introduction and Objectives
169
13.2
Programming Interaction in NetLogo
170
13.3
The
Telemarketer
Model
777
13.4
The March of Progress: Global Interaction
775
13.5
Direct Interaction: Mergers in the
Telemarketer
Model
776
13.6
The Customers Fight Back: Remembering Who Called
179
13.7
Summary and Conclusions
181
13.8
Exercises 7S7
14
Scheduling
183
14.1
Introduction and Objectives
783
14.2
Modeling Time in NetLogo
784
14.3
Summary and Conclusions
192
14.4
Exercises
793
15
Stochasticity
795
15.1
Introduction and Objectives
795
15.2
Stochasticity in ABMs
796
15.3
Pseudorandom Number Generation in NetLogo
798
15.4
An Example Stochastic Process: Empirical Model of Behavior
203
15.5
Summary and Conclusions
205
15.6
Exercises
206
16
Collectives
209
16.1
Introduction and Objectives
209
16.2
What Are Collectives?
209
16.3
Modeling Collectives in NetLogo
270
16.4
Example: A Wild Dog Model with Packs
212
16.5
Summary and Conclusions
221
16.6
Exercises
222
Contents
vii
Partili
Pattern-Oriented Modeling
225
17
Introduction to Part III
227
17.1
Toward Structurally Realistic Models
227
17.2
Single and Multiple, Strong and Weak Patterns
228
17.3
Overview of
Partili
230
18
Patterns for Model Structure
233
18.1
Introduction
233
18.2
Steps in POM to Design Model Structure
234
18.3
Example: Modeling European Beech Forests
235
18.4
Example: Management Accounting and Collusion
239
18.5
Summary and Conclusions
240
18.6
Exercises
241
19
Theory Development
243
19.1
Introduction
243
19.2
Theory Development and Strong Inference in the Virtual Laboratory
244
19.3
Examples of Theory Development for ABMs
246
19.4
Exercise Example: Stay or Leave?
249
19.5
Summary and Conclusions
253
19.6
Exercises
254
20
Parameterization and Calibration
255
20.1
Introduction and Objectives
255
20.2
Parameterization of ABMs Is Different
256
20.3
Parameterizing Submodels
257
20.4
Calibration Concepts and Strategies
258
20.5
Example: Calibration of the Woodhoopoe Model
264
20.6
Summary and Conclusions
267
20.7
Exercises
268
Part IV Model Analysis
277
21
Introduction to Part IV
273
21.1
Objectives of Part IV
273
21.2
Overview of Part IV
274
22
Analyzing and Understanding ABMs
277
22.1
Introduction
277
22.2
Example Analysis:The Segregation Model
278
22.3
Additional Heuristics for Understanding ABMs
283
22.4
Statistics for Understanding
287
22.5
Summary and Conclusions
288
22.6
Exercises
288
23
Sensitivity, Uncertainty, and Robustness Analysts
29)
23.1
Introduction and Objectives
291
23.2
Sensitivity Analysis
293
23.3
Uncertainty Analysis
297
23.4
Robustness Analysis
302
viii
Contents
23.5
Summary and
Conclusions
306
23.6
Exercises
307
24
Where to Go from Here
309
24.1
Introduction
309
24.2
Keeping Your Momentum: Reimplementation
310
24.3
Your First Model from Scratch
310
24.4
Modeling Agent Behavior
311
24.5
ABM Gadgets
312
24.6
Coping with NetLogo s Limitations
313
24.7
Beyond NetLogo
315
24.8
An Odd Farewell
316
References
317
Index
323
Index of Programming Notes
329
Contents
ix
|
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Allgemeines Informatik Soziologie Agrar-/Forst-/Ernährungs-/Haushaltswissenschaft / Gartenbau Wirtschaftswissenschaften Geographie |
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| isbn | 9780691136745 9780691136738 |
| language | English |
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| spelling | Railsback, Steven F. 1957- Verfasser (DE-588)1015200079 aut Agent-based and individual-based modeling a practical introduction Steven F. Railsback and Volker Grimm Agent based and individual based modeling Princeton, NJ [u.a.] Princeton Univ. Press 2012 XVIII, 329 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Modellierung (DE-588)4170297-9 gnd rswk-swf Mehragentensystem (DE-588)4389058-1 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content Mehragentensystem (DE-588)4389058-1 s Modellierung (DE-588)4170297-9 s DE-604 Grimm, Volker 1958- Verfasser (DE-588)1015199852 aut Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024769785&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Railsback, Steven F. 1957- Grimm, Volker 1958- Agent-based and individual-based modeling a practical introduction Modellierung (DE-588)4170297-9 gnd Mehragentensystem (DE-588)4389058-1 gnd |
| subject_GND | (DE-588)4170297-9 (DE-588)4389058-1 (DE-588)4151278-9 |
| title | Agent-based and individual-based modeling a practical introduction |
| title_alt | Agent based and individual based modeling |
| title_auth | Agent-based and individual-based modeling a practical introduction |
| title_exact_search | Agent-based and individual-based modeling a practical introduction |
| title_full | Agent-based and individual-based modeling a practical introduction Steven F. Railsback and Volker Grimm |
| title_fullStr | Agent-based and individual-based modeling a practical introduction Steven F. Railsback and Volker Grimm |
| title_full_unstemmed | Agent-based and individual-based modeling a practical introduction Steven F. Railsback and Volker Grimm |
| title_short | Agent-based and individual-based modeling |
| title_sort | agent based and individual based modeling a practical introduction |
| title_sub | a practical introduction |
| topic | Modellierung (DE-588)4170297-9 gnd Mehragentensystem (DE-588)4389058-1 gnd |
| topic_facet | Modellierung Mehragentensystem Einführung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024769785&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT railsbackstevenf agentbasedandindividualbasedmodelingapracticalintroduction AT grimmvolker agentbasedandindividualbasedmodelingapracticalintroduction AT railsbackstevenf agentbasedandindividualbasedmodeling AT grimmvolker agentbasedandindividualbasedmodeling |