Agents, games, and evolution: strategies at work and play
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Format: | Buch |
Sprache: | English |
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Boca Raton [u.a.]
CRC Press
2012
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Online-Zugang: | Inhaltsverzeichnis Klappentext |
Beschreibung: | XXIV, 488 S. Ill., graph. Darst. |
ISBN: | 9781439834701 |
Internformat
MARC
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---|---|---|---|
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010 | |a 2011039832 | ||
020 | |a 9781439834701 |c hardcover : alk. paper |9 978-1-4398-3470-1 | ||
035 | |a (OCoLC)785843989 | ||
035 | |a (DE-599)BVBBV039943458 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
044 | |a xxu |c US | ||
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100 | 1 | |a Kimbrough, Steven O. |e Verfasser |0 (DE-588)129746703 |4 aut | |
245 | 1 | 0 | |a Agents, games, and evolution |b strategies at work and play |c Steven Orla Kimbrough |
264 | 1 | |a Boca Raton [u.a.] |b CRC Press |c 2012 | |
300 | |a XXIV, 488 S. |b Ill., graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
650 | 4 | |a Games of strategy (Mathematics) | |
650 | 4 | |a Cellular automata | |
650 | 0 | 7 | |a Strategisches Spiel |0 (DE-588)4248624-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Agent |g Informatik |0 (DE-588)4455835-1 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Strategisches Spiel |0 (DE-588)4248624-5 |D s |
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689 | 0 | |5 DE-604 | |
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Datensatz im Suchindex
_version_ | 1804148911831515136 |
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adam_text | Contents
List of Figures
xi
List of Tables
xvii
Preface
xxiii
1 Starters
1
1
Contexts of Strategic Interaction
3
1.1
Two Kinds of Decisions
.................... 4
1.2
Categorizing Games
...................... 5
1.3
Game Theory and the Theory of Games
........... 8
1.4
Why Study Games?
. . .................... 12
1.5
Methods of Study
....................... 12
1.6
For Exploration
......................... 16
1.7
Concluding Notes
........................ 18
2
Games in the Wild and the Problems of Play
21
2.1
War
............................... 22
2.2
Trading and Investing
..................... 24
2.3
Athletic Contests
........................ 25
2.4
Gambling
............................ 26
2.5
Business Strategy
........................ 29
2.6
Negotiation
........................... 30
2.7
Coordination, Symbiosis, Mutualism, Cooperation
......31
2.8
Conversation
.......................... 32
2.9
Games against Yourself
.................... 33
2.10
Confidence Games
....................... 33
2.11
Statesmanship
......................... 34
2.12
Problems of Play
........................ 35
2.13
For Exploration
......................... 36
2.14
Concluding Notes
........................ 41
iii
iv
Agents,
Games, and Evolution: Strategies at Work and Play
II Mixed Motives
43
3
Playing Prisoner s Dilemma
45
3.1
Introduction
........................... 45
3.2
Iterated Prisoner s Dilemma
.................. 45
3.3
Pragmatic Strategic Rationality
................ 48
3.4
Axelrod s Tournaments
.................... 51
3.5
Further IPD Tournaments
. . ................. 52
3.6
Other
2x2
Social Dilemma Games
.............. 57
3.7
Discussion
............................ 60
3.8
Strategy Selection Criteria
................... 62
3.8.1
Do Well Overall
..................... 62
3.8.2
Do Well against Itself
.................. 62
3.8.3
Do Well When Played with Others That Do Well with
Themselves
....................... 62
3.8.4
Do Well against Other High-Quality Strategies
... 63
3.8.5
Be Robust to Starting Conditions
........... 63
3.8.6
Be Robust to Conditions of Play
........... 63
3.8.7
Not Be Exploitable
................... 63
3.8.8
Avoid Self-Destructive Behavior
............ 63
3.8.9
Be Viable in Small Numbers
.............. 64
3.8.10
Be an Effective Signaler
................ 64
3.9
Comments on the Strategy Selection Criteria
........ 64
3.10
For Exploration
......................... 66
3.11
Concluding Notes
........................ 68
4
Fanning out:
2x2
Games and Models
69
4.1
Fanning out
........................... 69
4.2
A Simple Gridscape Model
.................. 72
4.3
A Richer Gridscape Model
................... 77
4.4
An Evolutionary Model
.................... 82
4.5
Game
#9
(Deadlock)
...................... 86
4.6
Game
#68 ........................... 86
4.7
Game
#69 ........................... 88
4.8
Game
#7 ............................ 88
4.9
For Exploration
......................... 90
4.10
Concluding Notes
........................ 91
5
Stag Hunt
93
5.1
Introduction
........................... 93
5.2
Stag Hunt and a Framing of the Program
.......... 94
5.3
The Gridscape: A Simple Society
............... 97
5.4
A Model for Exploring Rationality
.............. 103
5.5
Discussion
............................ 106
5.6
For Exploration
......................... 110
Contents
v
5.7
Concluding Notes
........................
HO
6
Pareto versus Nash
Ш
6.1
Background
...........................
Ill
6.2
Reinforcement Learning
.................... 114
6.2.1
Simple Q-Learning
................... 114
6.2.2
Implementation of Q-Learning for
2x2
Games
.... 115
6.3
Experiments
.......................... 115
6.3.1
Motivation
........................ 115
6.3.2
The Games and the Parameterization
......... 116
6.3.3
Settings for the Experiments
.............. 117
6.3.4
Results
.......................... 119
6.4
Summary
............................ 129
6.5
For Exploration
......................... 130
6.6
Concluding Notes
........................ 130
7
Affording Cooperation
133
7.1
Introduction
........................... 133
7.1.1
Definitions
........................ 134
7.1.2
Existing Proposals
................... 135
7.2
A Game That Affords Cooperation
.............. 137
7.3
What s That Technology?
................... 142
7.3.1
Hi-Lo
........................... 143
7.3.2
Pro-Social Framing
................... 145
7.4
What about Evidence?
..................... 147
7.5
Ramifications beyond Cooperation?
............. 151
7.6
Summary and Conclusion
................... 153
7.7
For Exploration
......................... 155
7.8
Concluding Notes
........................ 157
III Markets and Applications
159
8
Competitive Markets
161
8.1
Competitive Markets
...................... 161
8.2
Competitive Story
1:
The Standard Account
........ 163
8.3
Competitive Story
2:
Random, Bargaining
.......... 170
8.4
Competitive Story
3: ZI
-С
Agents
.............. 173
8.5
Competitive Story
4:
Trade on the
Sugarscape
....... 177
8.6
Discussion
............................ 179
8.7
For Exploration
......................... 180
8.8
Concluding Notes
........................ 184
vi
Agents,
Games, and Evolution: Strategies at Work and Play
9
Monopoly Stories
185
9.1
Monopoly Story
1:
The Standard Account
.......... 185
9.2
Monopoly Story
2:
Quantity Adjustment
........... 187
9.3
Monopoly Story
3:
Randomly Varying Demand
....... 193
9.4
Monopoly Story
4:
Demand
as a
Random Walk
....... 194
9.5
Discussion
............................ 197
9.6
For Exploration
......................... 198
9.7
Concluding Notes
........................ 199
10
Oligopoly: Cournot Competition
201
10.1
Introduction
........................... 201
10.2
Overview of the Literature
................... 202
10.3
Experimental Setup
...................... 206
10.4
Reference Model
........................ 207
10.5
Results
............................. 209
10.5.1
Profit Maximization
.................. 212
10.5.1.1
Detailed Statistical Analysis of the Model
Results
.................... 214
10.5.2
Maximizing Total Market Profits
........... 222
10.5.2.1
Detailed Statistical Analysis of the Model
Results
.................... 225
10.5.3
Mixed Maximizing of Market and Own Returns
. . . 227
10.5.4
Market Returns, Constrained by Own Returns
.... 229
10.5.4.1
Detailed Statistical Analysis of the Model
Results
.................... 230
10.5.5
Number Effects
..................... 231
10.5.6
Differential Costs
.................... 238
10.6
Discussion
............................ 240
10.7
Conclusions
........................... 241
10.8
For Exploration
......................... 242
10.9
Concluding Notes
........................ 242
11
Oligopoly:
Bertrand
Competition
243
11.1
Price Competition
....................... 243
11.2
Probing and Adjusting on Price in an Oligopoly
...... 244
11.3
For Exploration
......................... 249
11.4
Concluding Notes
........................ 249
12
Supply Curve Bidding
251
12.1
Introduction and Setup
.................... 251
12.2
Computational Model
..................... 252
12.3
Examples
............................ 257
12.3.1
Monopolist
........................ 257
12.3.2
One and Two Firms, Zero Cost
............ 260
12.3.3
Six Firms
........................ 265
Contents
vii
12.4
For Exploration
......................... 265
12.5
Concluding Notes
........................ 268
13
Two-Sided Matching
269
13.1
Introduction: Matching in Centralized Markets
....... 269
13.2
Background
........................... 270
13.3
Matching with Agents
..................... 273
13.4
Evolutionary Matching
..................... 275
13.5
Agent Model Comparison
................... 277
13.6
Nearly Stable Matches
..................... 279
13.7
Related Work
.......................... 279
13.8
Summary and Discussion
................... 282
13.9
For Exploration
......................... 285
13.10
Concluding Notes
........................ 286
14
IDS Games
287
14.1
Introduction
........................... 287
14.2
Comparing Strategies in Iterated Play
............ 289
14.2.1
Description of the Strategies
.............. 291
14.2.2
Setup for the Experiments
............... 298
14.3
Full Feedback
.......................... 298
14.4
Partial Feedback
........................ 302
14.5
Discussion
............................ 305
14.6
For Exploration
......................... 308
14.7
Concluding Notes
........................ 309
15
Organizational Ambidexterity
311
15.1
Introduction
........................... 311
15.2
The Basic Story
........................ 312
15.3
Description of the Agent Model
................ 318
15.4
Explorations with the Model
................. 321
15.4.1
Strategies
........................ 322
15.4.2
Results
.......................... 325
15.4.3
Tournament with the Base Case Scenario
....... 331
15.5
Robustness Tests
........................ 331
15.5.1
Second Scenario
..................... 331
15.5.2
Hypotheses
....................... 333
15.6
Discussion
............................ 335
15.7
For Exploration
......................... 337
15.8
Concluding Notes
........................ 338
16
Bargaining
341
16.1
Introduction
........................... 341
16.2
Coalition Formation
...................... 342
16.2.1
Description
....................... 342
16.2.2
An Experimental Study
................ 343
viii
Agents,
Games, and Evolution: Strategies at Work and Play
16.2.3
Quota Values
...................... 344
16.3
The Model
........................... 345
16.4
Results
............................. 346
16.5
Conclusion
........................... 352
16.6
For Exploration
......................... 353
16.7
Concluding Notes
........................ 353
IV Topics in Strategic Analysis
355
17
Lying and Related Abuses
357
17.1
Introduction
........................... 357
17.2
Concept Concepts
....................... 358
17.3
Two Kinds of Ought
...................... 362
17.4
Lying
.............................. 363
17.5
Spin
............................... 366
17.6
Misdirection
........................... 367
17.7
Humbug
............................. 368
17.8
Bullshit
............................. 372
17.9
Mindfucking
........................... 374
17.10
Discussion
............................ 376
17.11
For Exploration
......................... 378
17.12
Concluding Notes
........................ 378
18
Evolutionary Models
381
18.1
Biological Evolution
...................... 381
18.2
Representations
......................... 383
18.3
Evolutionary Programming
.................. 387
18.4
Genetic Algorithms
....................... 389
18.5
Coevolution
........................... 390
18.6
Examples of Applications to Games
............. 391
18.6.1
Discovering Strategies for IIPD
............ 391
18.6.2
Bidding in Auctions
................... 394
18.6.3
Blondie24 and Friends
................. 395
18.7
For Exploration
......................... 395
18.8
Concluding Notes
........................ 396
19
Backward Induction
399
19.1
Three Problems
......................... 399
19.1.1
The Surprise Examination
............... 399
19.1.2
Backward Induction in Games
............. 400
19.1.3
Dynamic Programming
................. 401
19.1.4
What to Make of All This?
............... 402
19.2
Revisiting the Surprise Examination
............. 403
19.3
Revisiting Definitely Iterated PD
............... 409
19.4
Revisiting Dynamic Programming
.............. 412
19.5
Rationality Redux
....................... 414
Contents
їх
19.6
For Exploration
......................... 415
19.7
Concluding Notes
........................ 416
20
Summing up 417
20.1
Taking Stock
.......................... 417
20.2
Problems of Play
........................
417
20.2.1
Agent Questions
..................... 419
20.2.1.1
Strategy Selection
.............. 419
20.2.1.2
Learning and Strategy Discovery
...... 420
20.2.2
Institutional Questions
................. 421
20.2.2.1
Efficiency
................... 421
20.2.2.2
Cooperation and Collusion
.......... 422
20.2.2.3
Multiple Objectives
.............. 422
20.3
In a Nutshell
.......................... 423
V Appendices
425
A Game Concepts
427
A.I Overview
............................ 427
A.
2
Concepts and Characterizations
................ 427
A.2.1 Game
........................... 427
A.2.2 Cooperative and
Noncooperative
Games
....... 428
A.2.3 Strategy, Policy
..................... 428
A.2.4 Games in Strategic Form
................ 428
A.2.5 Games in Extensive Form
............... 429
A.2.6 Games in Characteristic Function Form
........ 430
A.2.7 Risk and Uncertainty
.................. 431
A.2.8 Game Payoffs
...................... 431
A.2.9 Pareto Optimal
..................... 432
A.2.10 Resource or Hicks Optimality
............. 432
A.2.11 Equilibrium
...................... . 432
A.2.12 Utility
.......................... 433
A.2.13 Rational Choice Theory
................ 433
A.2.14 Mutual and Common Knowledge
........... 434
A.2.15 The Folk Theorem
................... 434
A.2.16 Counting Strategies in Repeated Play
......... 434
A.2.17 Repeated Play, Iterated Play
.............. 435
В
Useful Mathematical Results
437
B.I Geometric Series
........................ 437
B.2 Present Value Factor
...................... 438
B.3 Solving for Mixed Equilibria in
2x2
Games
......... 438
B.4 Boltzman Function
....................... 439
B.5 Invasion Inequalities on the Gridscape
............ 440
С
Further Arguments on the Surprise Exam
447
χ
Agents, Games, and Evolution: Strategies at Work and Play
D
Resources on the Web
453
Bibliography
455
Index
481
Mathematics
Games, or contexts of strategic interaction, pervade and suffuse our
lives and the lives of all organisms. How are we to make sense of
and cope with such situations? How should an agent play? When
will and when won t cooperation arise and be maintained? Using
examples and a careful digestion of the literature, Agents, Games,
and Evolution: Strategies at Work and Play addresses these
encompassing themes throughout, and is organized into four parts:
Part I introduces classical game theory and strategy selection. It
compares ideally rational and the naturalist approach used by this
book, which focuses on how actual agents chose their strategies,
and the effects of these strategies on model systems.
Part II explores a number of basic games, using models in which
agents have fixed strategies. This section draws heavily on the
substantial literature associated with the relevant application areas
in the social sciences.
Part III reviews core results and applications of agent-based models
in which strategic interaction is present and for which design issues
have genuine practical import. This section draws heavily on the
substantial literature associated with the application area to hand.
Part IV addresses miscellaneous topics in strategic interaction,
including lying in negotiations, reasoning by backward induction, and
evolutionary models.
Modeled after the authors Agents, Games, and Evolution course at
the University of Pennsylvania, this book keeps mathematics to a
minimum, focusing on computational strategies and useful methods
for dealing with a variety of situations.
CRC
Press
Taylor
&
Francis Croup
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ISBN:
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90000
81439l834701
|
any_adam_object | 1 |
author | Kimbrough, Steven O. |
author_GND | (DE-588)129746703 |
author_facet | Kimbrough, Steven O. |
author_role | aut |
author_sort | Kimbrough, Steven O. |
author_variant | s o k so sok |
building | Verbundindex |
bvnumber | BV039943458 |
callnumber-first | Q - Science |
callnumber-label | QA270 |
callnumber-raw | QA270 |
callnumber-search | QA270 |
callnumber-sort | QA 3270 |
callnumber-subject | QA - Mathematics |
classification_rvk | MB 2500 QH 430 SK 860 ST 324 |
ctrlnum | (OCoLC)785843989 (DE-599)BVBBV039943458 |
dewey-full | 519.3 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.3 |
dewey-search | 519.3 |
dewey-sort | 3519.3 |
dewey-tens | 510 - Mathematics |
discipline | Informatik Politologie Mathematik Wirtschaftswissenschaften |
format | Book |
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id | DE-604.BV039943458 |
illustrated | Illustrated |
indexdate | 2024-07-10T00:14:40Z |
institution | BVB |
isbn | 9781439834701 |
language | English |
lccn | 2011039832 |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-024801500 |
oclc_num | 785843989 |
open_access_boolean | |
owner | DE-703 DE-20 DE-473 DE-BY-UBG |
owner_facet | DE-703 DE-20 DE-473 DE-BY-UBG |
physical | XXIV, 488 S. Ill., graph. Darst. |
publishDate | 2012 |
publishDateSearch | 2012 |
publishDateSort | 2012 |
publisher | CRC Press |
record_format | marc |
spelling | Kimbrough, Steven O. Verfasser (DE-588)129746703 aut Agents, games, and evolution strategies at work and play Steven Orla Kimbrough Boca Raton [u.a.] CRC Press 2012 XXIV, 488 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Games of strategy (Mathematics) Cellular automata Strategisches Spiel (DE-588)4248624-5 gnd rswk-swf Agent Informatik (DE-588)4455835-1 gnd rswk-swf Strategisches Spiel (DE-588)4248624-5 s Agent Informatik (DE-588)4455835-1 s DE-604 Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024801500&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024801500&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
spellingShingle | Kimbrough, Steven O. Agents, games, and evolution strategies at work and play Games of strategy (Mathematics) Cellular automata Strategisches Spiel (DE-588)4248624-5 gnd Agent Informatik (DE-588)4455835-1 gnd |
subject_GND | (DE-588)4248624-5 (DE-588)4455835-1 |
title | Agents, games, and evolution strategies at work and play |
title_auth | Agents, games, and evolution strategies at work and play |
title_exact_search | Agents, games, and evolution strategies at work and play |
title_full | Agents, games, and evolution strategies at work and play Steven Orla Kimbrough |
title_fullStr | Agents, games, and evolution strategies at work and play Steven Orla Kimbrough |
title_full_unstemmed | Agents, games, and evolution strategies at work and play Steven Orla Kimbrough |
title_short | Agents, games, and evolution |
title_sort | agents games and evolution strategies at work and play |
title_sub | strategies at work and play |
topic | Games of strategy (Mathematics) Cellular automata Strategisches Spiel (DE-588)4248624-5 gnd Agent Informatik (DE-588)4455835-1 gnd |
topic_facet | Games of strategy (Mathematics) Cellular automata Strategisches Spiel Agent Informatik |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024801500&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024801500&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT kimbroughsteveno agentsgamesandevolutionstrategiesatworkandplay |