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Optimizing Play

Why Theorycrafting Breaks Games and How to Fix It

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$35.00 US
6.06"W x 8.94"H x 0.53"D   (15.4 x 22.7 x 1.3 cm) | 9 oz (247 g) | 44 per carton
On sale May 14, 2024 | 200 Pages | 9780262547789
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An unexpected take on how games work, what the stakes are for them, and how game designers can avoid the traps of optimization.

The process of optimization in games seems like a good thing—who wouldn’t want to find the most efficient way to play and win? As Christopher Paul argues in Optimizing Play, however, optimization can sometimes risk a tragedy of the commons, where actions that are good for individuals jeopardize the overall state of the game for everyone else. As he explains, players inadvertently limit play as they theorycraft, seeking optimal choices. The process of developing a meta, or the most effective tactic available, structures decision making, causing play to stagnate. A “stale” meta then creates a perception that a game is solved and may lead players to turn away from the game.

Drawing on insights from game studies, rhetoric, the history of science, ecology, and game theory literature, Paul explores the problem of optimization in a range of video games, including Overwatch, FIFA/EA Sports FC, NBA 2K, Clash Royale, World of Warcraft, and League of Legends. He also pulls extensively from data analytics in sports, where the problem has progressed further and is even more intractable than it is in video games, given the money sports teams invest to find an edge. Finally, Paul offers concrete and specific suggestions for how games can be developed to avoid the trap set by optimization run amok.
Christopher A. Paul is Professor of Communication and Media at Seattle University. He is the author of Free-to-Play and coauthor, with Mia Consalvo, of Real Games (both MIT Press). He is also the author of The Toxic Meritocracy of Video Games and Wordplay and the Discourse of Video Games.
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Acknowledgments ix
Introduction: Optimization and Common Pool Resource Problems 1
1 The Role of Optimization in Video Games 23
2 Overwatch 37
3 Baseball as the Tic-Tac-Toe of Sports 53
4 Less Solved Sports 71
5 EA SPORTS FC and NBA 2K 93
6 Clash Royale 117
Conclusion: Don't Drain the Pool for the Rest of Us 131
Notes 143
Bibliography 167
Index 185

About

An unexpected take on how games work, what the stakes are for them, and how game designers can avoid the traps of optimization.

The process of optimization in games seems like a good thing—who wouldn’t want to find the most efficient way to play and win? As Christopher Paul argues in Optimizing Play, however, optimization can sometimes risk a tragedy of the commons, where actions that are good for individuals jeopardize the overall state of the game for everyone else. As he explains, players inadvertently limit play as they theorycraft, seeking optimal choices. The process of developing a meta, or the most effective tactic available, structures decision making, causing play to stagnate. A “stale” meta then creates a perception that a game is solved and may lead players to turn away from the game.

Drawing on insights from game studies, rhetoric, the history of science, ecology, and game theory literature, Paul explores the problem of optimization in a range of video games, including Overwatch, FIFA/EA Sports FC, NBA 2K, Clash Royale, World of Warcraft, and League of Legends. He also pulls extensively from data analytics in sports, where the problem has progressed further and is even more intractable than it is in video games, given the money sports teams invest to find an edge. Finally, Paul offers concrete and specific suggestions for how games can be developed to avoid the trap set by optimization run amok.

Author

Christopher A. Paul is Professor of Communication and Media at Seattle University. He is the author of Free-to-Play and coauthor, with Mia Consalvo, of Real Games (both MIT Press). He is also the author of The Toxic Meritocracy of Video Games and Wordplay and the Discourse of Video Games.

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Available for sale exclusive:
•     Afghanistan
•     Aland Islands
•     Albania
•     Algeria
•     Andorra
•     Angola
•     Anguilla
•     Antarctica
•     Antigua/Barbuda
•     Argentina
•     Armenia
•     Aruba
•     Australia
•     Austria
•     Azerbaijan
•     Bahamas
•     Bahrain
•     Bangladesh
•     Barbados
•     Belarus
•     Belgium
•     Belize
•     Benin
•     Bermuda
•     Bhutan
•     Bolivia
•     Bonaire, Saba
•     Bosnia Herzeg.
•     Botswana
•     Bouvet Island
•     Brazil
•     Brit.Ind.Oc.Ter
•     Brit.Virgin Is.
•     Brunei
•     Bulgaria
•     Burkina Faso
•     Burundi
•     Cambodia
•     Cameroon
•     Canada
•     Cape Verde
•     Cayman Islands
•     Centr.Afr.Rep.
•     Chad
•     Chile
•     China
•     Christmas Islnd
•     Cocos Islands
•     Colombia
•     Comoro Is.
•     Congo
•     Cook Islands
•     Costa Rica
•     Croatia
•     Cuba
•     Curacao
•     Cyprus
•     Czech Republic
•     Dem. Rep. Congo
•     Denmark
•     Djibouti
•     Dominica
•     Dominican Rep.
•     Ecuador
•     Egypt
•     El Salvador
•     Equatorial Gui.
•     Eritrea
•     Estonia
•     Ethiopia
•     Falkland Islnds
•     Faroe Islands
•     Fiji
•     Finland
•     France
•     Fren.Polynesia
•     French Guinea
•     Gabon
•     Gambia
•     Georgia
•     Germany
•     Ghana
•     Gibraltar
•     Greece
•     Greenland
•     Grenada
•     Guadeloupe
•     Guam
•     Guatemala
•     Guernsey
•     Guinea Republic
•     Guinea-Bissau
•     Guyana
•     Haiti
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•     Honduras
•     Hong Kong
•     Hungary
•     Iceland
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•     Lesotho
•     Liberia
•     Libya
•     Liechtenstein
•     Lithuania
•     Luxembourg
•     Macau
•     Macedonia
•     Madagascar
•     Malawi
•     Malaysia
•     Maldives
•     Mali
•     Malta
•     Marshall island
•     Martinique
•     Mauritania
•     Mauritius
•     Mayotte
•     Mexico
•     Micronesia
•     Minor Outl.Ins.
•     Moldavia
•     Monaco
•     Mongolia
•     Montenegro
•     Montserrat
•     Morocco
•     Mozambique
•     Myanmar
•     Namibia
•     Nauru
•     Nepal
•     Netherlands
•     New Caledonia
•     New Zealand
•     Nicaragua
•     Niger
•     Nigeria
•     Niue
•     Norfolk Island
•     North Korea
•     North Mariana
•     Norway
•     Oman
•     Pakistan
•     Palau
•     Palestinian Ter
•     Panama
•     PapuaNewGuinea
•     Paraguay
•     Peru
•     Philippines
•     Pitcairn Islnds
•     Poland
•     Portugal
•     Puerto Rico
•     Qatar
•     Reunion Island
•     Romania
•     Russian Fed.
•     Rwanda
•     S. Sandwich Ins
•     Saint Martin
•     Samoa,American
•     San Marino
•     SaoTome Princip
•     Saudi Arabia
•     Senegal
•     Serbia
•     Seychelles
•     Sierra Leone
•     Singapore
•     Sint Maarten
•     Slovakia
•     Slovenia
•     Solomon Islands
•     Somalia
•     South Africa
•     South Korea
•     South Sudan
•     Spain
•     Sri Lanka
•     St Barthelemy
•     St. Helena
•     St. Lucia
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•     Sudan
•     Suriname
•     Svalbard
•     Swaziland
•     Sweden
•     Switzerland
•     Syria
•     Tadschikistan
•     Taiwan
•     Tanzania
•     Thailand
•     Timor-Leste
•     Togo
•     Tokelau Islands
•     Tonga
•     Trinidad,Tobago
•     Tunisia
•     Turkey
•     Turkmenistan
•     Turks&Caicos Is
•     Tuvalu
•     US Virgin Is.
•     USA
•     Uganda
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•     Unit.Arab Emir.
•     United Kingdom
•     Uruguay
•     Uzbekistan
•     Vanuatu
•     Vatican City
•     Venezuela
•     Vietnam
•     Wallis,Futuna
•     West Saharan
•     Western Samoa
•     Yemen
•     Zambia
•     Zimbabwe

Table of Contents

Acknowledgments ix
Introduction: Optimization and Common Pool Resource Problems 1
1 The Role of Optimization in Video Games 23
2 Overwatch 37
3 Baseball as the Tic-Tac-Toe of Sports 53
4 Less Solved Sports 71
5 EA SPORTS FC and NBA 2K 93
6 Clash Royale 117
Conclusion: Don't Drain the Pool for the Rest of Us 131
Notes 143
Bibliography 167
Index 185