Welcome to
Cooperation Commons: Interdisciplinary study of cooperation and collective action.
Welcome to NavigationRecent Summaries
|
game theoryThe Quest for Meaning in Public ChoiceOne Sentence Summary: Frameworks, composed of theories that are in turn composed of varying models need to be developed to study and make predictions about the complex behaviors that take place in social situations. Disciplines: Economics Sociology Psychology Findings:
Keywords: civil society communication competition cooperation game theory group forming networks property rights public goods sharing economy Published in: American Journal of Economics and Sociology, vol. 63, issue 1, pages 105-147 Date: January 2004 One Paragraph Summary: A useful Institutional Analysis and Development (IAD) framework has evolved under the leadership of the Ostroms and their colleagues at Indiana University for over two decades. It has been applied with success in laboratory experiments on social behavior and in field studies and has enabled the creation of useful models with predictive value in diverse situations. Some results from the application of the IAD framework have lead to suggestions for effective use of common resources and norms for community decision making. The importance of effective communication and sanctioning mechanisms in effective community governance has become clear from the use of the framework. One Page Summary: The Institutional Analysis and Development (IAD) framework developed by the Ostroms and their colleagues at Indiana University provides a foundation for studying a multitude of theories, models, and predictions of public choice behaviors in different systems of governance and organization. Frameworks define the action arena to which it would be applied; the resulting patterns of interactions and outcomes, and the means of evaluating those outcomes. A framework is a general language about how varying rules, physical and material conditions, and attributes of a community affect the structure of action arenas, the incentives for actors, and resulting outcomes. Action arenas include an action situation and the actors in that situation. An action situation includes:
Actors (individual or corporate) involve:
Analysts can make strong predictions in tightly constrained situations of complete information: overuse of resources in an open commons where the actors do not share access to collective choice arenas. Results are not as clear in situations where actors are embedded in communities with norms of fairness and conservation as well as the ability to communicate with each other. Evaluation criteria can include a range of values for categories such as the following:
The IAD framework has been applied to various domains to make predictions of resulting behaviors in field settings. Examples of successful application include:
The Evolutionary Stability of CooperationOne Sentence Summary: Given a variety of strategies ranging from cooperative to combative, cooperative retaliatory strategies tend to be the most stable but remain vulnerable to invasion. Disciplines: Political Science Sociology Findings:
Keywords: cultural evolution equilibrium evolution game theory prisoners dilemma reciprocity tit-for-tat Published in: Journal Date: June 1997 One Paragraph Summary: Previous theorists had been divided regarding the stability of Tit-for-tat strategies in prisoners Dilemma gaming. Bendor and Swistak show, through seven theorems, that all strategies can be overwhelmed. There are, however, thresholds of stability where certain nice and retaliatory strategies can withstand large invasions of alternative strategies. At sufficient strength a strategy can either overwhelm the invader, support subcultures of strategy, or co-opt in the invader to a given level of invasion. Even nice and retaliatory strategies have a breakdown point, however. The authors conclude that the anything less than 100% cooperation would be inherently unstable. One Page Summary: Theorists have posited that pure tit-for-tat strategies in iterative prisoners dilemma games were invulnerable. Is this correct? The authors seek to answer this question by examining the ability of various prisoners dilemma gaming strategies to withstand invasion by other competing strategies. Bender and Swistak examine a gaming strategy universe that includes the strategies:
These strategies were examined in pure conditions where only one existed, and then competing strategies were introduced. If a given strategy could withstand incursions by competing strategies it was deemed "stable". Stability proved to be a continuum. All strategies proved to have points of equilibrium. At this point, a strategy can withstand its maximum level of incursion. That point is that strategy's maximum stability. The Evolution of Strategies in the Iterated Prisoner's DilemmaOne Sentence Summary: The genetic algorithm uses computer simulations to evolve different strategies for playing Prisoner's Dilemma games, and by observing the interactions of populations of agents over many runs, it is possible to make useful observations that could generalize to human behavior – such as the tendency of reciprocation to establish itself and spread if cooperating agents are able to encounter one another. Disciplines: Biology Computer Science Economics Political Science Information Findings:
Keywords: agent-based model complexity evolution game theory prisoners dilemma reciprocity tit-for-tat Date: 1987 One Paragraph Summary: John Holland at University of Michigan developed a means of testing computer problem-solving methods by applying a method based on Darwinian evolution: agents (program) have a phenotype (the strategy the program uses for problem solving) and a genotype (the way strategies are represented in their programming code). Means of reproduction and mutation are specified. Agents interact with each other in a rigorously specified simulation, and the effectiveness of each agent is evaluated in a particular environment in relation to its interactions with other agents; successful strategies are reproduced at a higher rate than less successful strategies; pairs of successful offspring strategies are mated by combining genetic material; mutation is introduced. Simulations can be halted after specified numbers of runs and analyzed, then restarted. In about a quarter of simulation runs with sexual reproduction, better strategies than Tit-for-Tat evolved, and after a random start, populations tend to first evolve away from cooperation as less cooperative rules succeed more often, but can evolve back toward stable cooperation states if cooperative strategies encounter one another and reciprocate. Social Science at 190 MPH on NASCAR's Biggest SpeedwaysOne Sentence Summary: NASCAR race draft line formations and dissolutions can serve as an example for cooperation and competition in other social domains. Disciplines: Economics Sociology Findings:
Keywords: group forming networks game theory cooperation complexity competition Published in: First Monday, Volume 5, Number 2 Date: February 2000 One Paragraph Summary: NASCAR drivers form and re-form into draft lines to take advantage of aerodynamic phenomena to gain an edge in competitions with other drivers who have basically equivalent automotive equipment. 'Draft partnerships' are necessary to get ahead; however, they must be abandoned strategically to win. Within a race, at high speeds, there is an ever-shifting pattern of cooperation and competition among rivals. This is a reflection of an important, desirable American trait: how to compete by doing a good job of cooperating. Essential to success in drafting are trust, acquired over time, and an effective communication support structure through networks of representatives (spotters). Complexity theory, social network analysis, and game theory are used to analyze the behaviors. The lessons are applied in other social domains. One Page Summary: NASCAR race draft line formations and dissolutions can serve as an example for cooperation and competition in other social domains. NASCAR drivers form and re-form into draft lines to take advantage of aerodynamic phenomena to gain an edge in competitions with other drivers who have basically equivalent automotive equipment. 'Draft partnerships' are necessary to get ahead; however, they must be abandoned strategically to win. Within a race, at high speeds, there is an ever-shifting pattern of cooperation and competition among rivals. This is a reflection of an important, desirable American trait: how to compete by doing a good job of cooperating. Essential to success in drafting are trust, acquired over time, and an effective communication support structure through networks of representatives (spotters). Complexity theory, social network analysis, and game theory are used to analyze the behaviors. The lessons are applied in other social domains. Communication via radio with intermediaries acting as agents (i.e., spotters) who negotiate with the intermediaries for other drivers is essential. Negotiations and deals need to be made rapidly. While deals may be cut before the race, most partnering emerges on the fly in consultation with spotters who have a larger picture of what's happening in the race. Interpersonal communication, dealmaking, and diplomatic skills may be as important as driving technique. Partnerships are formed with trusted collaborators/competitors. Reputations are gained over time. Betrayals are remembered for years. Veterans rarely want to partner with 'rookies'. Newcomers need to earn the confidence of the more experienced competitors. Social science theories can be used to analyze the draft line behaviors:
NASCAR drafting may be used as a metaphor in other domains. Examples cited include:
Six-Degrees: The Science of a Connected AgeOne Sentence Summary: Healthy social, technical, biological and professional networks are built on cooperative frameworks that enable them to quickly spread information and phenomena regardless of beneficial or malicious intent; this appears to be a deep structural characteristic of "small-world" or "scale-free" networks that have a relatively small number of hubs that enable extensive interconnectivity across large numbers of nodes. Disciplines: Biology Business Anthropology History Cultural Evolution Computer Science Technology Physics Economics Political Science Sociology Psychology Information Mathematics Findings:
Keywords: networks interdependence hierarchy group forming networks game theory evolution equilibrium cultural evolution cooperation communication Published in: Norton Press Date: 2003 One Paragraph Summary: Author Duncan Watts helped found the science of network theory. In Six Degrees he describes the evolution of the science. This narrative covers each step in the philosophical evolution to provide the reader with the context as well as the numbers behind the findings. Starting with Milgram's six-degrees studies from the 1950s as a base, they investigate the small-world problem and identify the mechanisms by which networks operate. They conclude that the solution to the small world problem reveals a series of balancing acts. Depending on context, people are either extremely connected or perceptually fragmented; networks are robust or fragile; and ambiguity can create opportunity or be a harbinger of a network's demise. One Page Summary: Six Degrees begins in the beginning. Stanley Milgram's initial small world studies are analyzed. His findings in seeing if a group of people in Nebraska can get a letter to someone in Massachusetts are scrutinized. Milgram left a puzzle. Mathematically, six degrees of separation can be shown and intuitively it is appealing. But do social networks actually work that way? Initially, Watts steps into the world of pure mathematic theory. Graph theory and random graphs are employed to build potential worlds in which connections can be made. These tools are detailed and their histories explained. Watts and his colleagues then take the science to new levels, by introducing sociology, epidemiology, economics, and business models into this new multi-disciplinary science. Immediately, each new field of study brings with it new insights into network dynamics. This convergence of disciplines reveals the social, transportation and technological networks that make up our world. These networks are, ultimately, made up of individuals. Individuals in turn relate back to the networks and define how they operate. Socially, people relate to their network by clustering. Clusters are logical organizations of network elements. In a social context, we might cluster in terms of a religion, a favorite author, a school we are attending or an affinity for a type of food. Some of these have very close physical distance, while others have a social distance with members spread out over a large area. Networks of this type are, to various extents, “scale-free” networks. If graphed these networks roughly follow a classic power law trend where the level of connectivity between two nodes in a network increases dramatically as more nodes are connected. Real-world scale-free networks tend to have highly connected hubs which rapidly, purposely, and efficiently transmit pertinent or pervasive content from one location to another. In social circles, these are networkers. In the airline network these are hub airports. In traffic they would be freeway interchanges. Due to this architecture, the Internet and modern air transport have combined to greatly decrease the role of proximity in our social networks. This has had great impacts on commerce, tourism, cultural sensitivity and other social factors. However, it has also led to great risks in the transmission of diseases, sensitivity to distant economic fluctuations, and rapid spread of misinformation. These dynamics create a type of network that Duncan calls simultaneously robust and vulnerable. Their strength and weakness is that, with rapid transmission from cluster to cluster, anything can move quickly from one location or group to another. He uses the example of Toyota, whose network of suppliers was organized in such a way as to quickly compensate for and recover from a potential economic catastrophe. Stable scale-free networks do not rely on a rigid hierarchy to provide direction in times of crisis. Rather, the structure of the network itself can rapidly respond to an unforeseen situation. Their network was arranged in such a way as to foster and reward communication. This communication helped cope with ambiguous or unplanned situations. Rather than paralyzing Toyota while people waited for a decision from a rigid hierarchy, the contractors in the network were able to analyze the calamity and provide a rapid response to it. As mentioned above, this robustness also rapidly transmits malicious content as well. The Melissa Virus, SARS and Ebola are analyzed to show why the network did or did not transmit them and, when it did, how they eventually died out. Watts ends this book by summarizing that the multidimensional nature of social distance is sometimes counterintuitive and subjective. People can feel close in a network sense to people they are physically distant from and, conversely, socially distant from people physically nearby. He continues by warning that social and physical distances have shrunk. People can quickly travel from place to place and economies are highly interdependent. The sheer number of dependencies in the modern world may yield surprising results from seemingly insignificant actions. He finishes by showing the stability of our networks with the example of how New York adapted to the 9-11 attacks. The City bounced back to semi-normal operations within a week. During the disaster, the best laid plans of emergency operations staff were scuttled by the utter unavailability of facilities and services designed to copy with disasters. The network will provide.
Nature's Magic: Synergy In Evolution And the Fate of HumankindOne Sentence Summary: Synergies that convey advantages drive and accelerate biological and cultural evolution by providing a package of independent elements that confer benefits many times greater than those conferred by individual elements: in biology, synergies of independently evolved traits can lead to the development of the power of flight or the emergence of humans as the dominant species; in humans, complex, coordinated activity over sustained periods leverages the power of physical tools, cultural discoveries, and social organization. Disciplines: Biology Economics Findings:
Keywords: altruism bioeconomy cooperation cultural evolution ecology evolution game theory Published in: Cambridge University Press Date: 2003 One Paragraph Summary: The differential survival of packages of interdependent components, organisms, or people leads to the emergence of higher-level self-interests that transcend the interests of the parts and convey amplified benefits to the aggregation of components, from the symbiotic origins of mitochondria and chloroplasts to symbiotic microorganisms in the digestive systems of ruminants and humans, to social insects, to the evolutionary leap from tree-dwelling primates to savanna-dwelling humans. Cooperative synergies at the level of the cell, organism, species, and ecology have been central, not peripheral to the evolution of life. The evolution of human cultural traits such as social complexity, language, social foraging, the use of fire and cultural transmission of tool use and implement creation, settled agriculture, invention of technologies and symbolic communication of means for inventing technologies was both driven by synergies and necessitated new social arrangements that led to new synergies. Synergetic arrangements can be tested by removing any one element and observing whether the aggregate organism, ecology, or society can continue to exist without it. One Page Summary: Bacteria colonies that migrate and forage and form joint structures via chemical signaling, social insects that engage in joint problem solving behaviors via chemical signaling, symbiotic relationships between ruminants from termites to cattle with cellulose-digesting bacteria, Margulis' evidence for the symbiogenesis of mitochondria and hypthoses that flagella originated from the joining of free-swimming spirochetes with energy-producing but less-mobile microorganisms, the probably evolution of flight from a suite of synergistic functional changes, the emergence of protohumans are all cited by Corning as evidence that synergies play a central, not a peripheral role in evolution of complex life forms: "Synergy has played a key role in the progressive evolution of complex systems in nature. However, complexity is not an end in itself; it's a consequence of the innovations that produce more potent forms of synergy. Synergy is the 'driver.'" William E. Hamilton's papers on "The Genetical Evolution of Social Behavior" in 1964 formalized the neo-Darwinian explanation of altruistic behavior as conferring benefits on close kin, but Robert Trivers' 1964 "Evolution of Reciprocal Altruism" decoupled kinship, cooperation, and altruism by offering evidence that the helping organism acts with the assumption that low-cost, low-risk assistance to another now will be repaid later – reciprocity. Game theoretic models were driven to more realistically match human and biological behavior than Axelrod's and Hamilton's models when zoologist Martin Nowak and mathematician Karl Sigmund created "Pavlov," a Prisoner's Dilemma strategy based on "win-stay, lose-shift" that introduces punishment. Corning objects to inclusive fitness theory, reciprocal altruism, tit-for-tat as adequate explanatory frameworks because they exclude interactions that provide synergistic combined effects and are self-policing because they are interdependent – the way two oarsman are interdependent when trying to cross a river if they each have one oar. Corning claims "The intellectual fascination of the Prisoner's Dilemma game may have led us to overestimate its evolutionary importance." Rejecting single-cause "prime mover" hypotheses for either biological or cultural evolution, Corning lists "five maybe six distinct paths to cooperation and complexity in evolution:" altruism, reciprocity, functional interdependence, mutualism, and parasitism. In regard to humans, Corning points to specific probable synergistic packages that enabled proto-humans to evolve from tree-dwelling primates, for language to evolve as an adaptation on precursors, for hunting and gathering culture to dominate and spread, for fire use to be culturally maintained, and for settled agriculture to take root and replace nomadic foraging and hunting as the dominant human form of social organization. Asking how a small, lightweight primate that can't fly or run very fast, lacking natural defensive weapons, but having bipedal gait, manipulative hands, omnivorous digestive system and large brain managed to shift to an earthbound habitat, broaden its resource base, and expand its range, Corning proposes that "In a patchy but relatively abundant woodland environment that was also replete with predators, competitors , and sometimes hostile groups of conspecifics, group foraging and collective defense/offense was the most cost-effective strategy. There were immediate payoffs (synergies) for collective action that did not have to await the plodding pace of natural selection….There may well have been group selection, but it was not based on altruism. It involved what the economists call 'collective goods' or 'public goods.'" Corning agrees with Jared Diamond that the emergence of agricultural civilization, empires, and wars of conquest in the fertile crescent 10,000 years ago was due to what Diamond himself called a "package" of ecological circumstances and cultural inventions that worked together synergistically: domesticated, genetically altered plants and animals, draft animals, technologies for plowing, cutting, threshing, grinding, food transport and storage, cooking, processing hides and fibers, sewing, manufacturing tools of stone, bone, and wood, as well as access to reliable fresh water sources, abundant fuel, long-distance trade, and defense against raiders. As a result, ten to one hundred times more people can be fed from one acre than from hunting-gathering, and a settled lifestyle permitted a reduction of the spacing of births from a four year separation among nomads to two years, leading to rapid population growth. Corning cites contemporary examples of synergistic cultural evolution involving the creation of new forms of collective action, together with new toolsets. The Igorot people of the remote mountains of Luzon, in the Philippines, use a vast, elaborate, intricately constructed combination of terraces, dams, canals, and ponds to grow rice sustainably and with remarkable efficiency. It was originally thought that the system was thousands of years old, but anthropologist Charles Drucker turned up evidence indicating that lowlanders who had practiced slash-and-burn agriculture for millennia were forced to migrate to the highlands when Spanish invaders seized choice lowlands. The sustainable high yields of Igorot rice farming depends on constant replenishment of soil nitrogen in places where there is not a natural abundant supply. The Igorot use ponds of blue-green algae that live in symbiosis with the rice plants, receiving carbon dioxide from the rice in exchange for fixing nitrogen. In order to use and maintain this new, complex technological and ecological system the former slash-and-burn lowlanders had to invent a new social and political system involving the disciplined coordination of many family groups. The Great Basin Shoshone of North America, studied by Julian Steward in the 1930s, forage in very small family groups, with plants providing 80% of their calories. In winter, however, several families gather in larger camps near an abundant resource and trade information, teach each other skills, and find mates. During rabbit drives, groups of 75 or more coordinate efforts deploying nets hundreds of feet long. A division of labor is temporarily established between net holders and beaters, under the supervision of a temporary rabbit boss. Work by Gintis, Bowles, Fehr and Gächter indicate that strong reciprocity among humans is egoistic, not altruistic or cooperative, and depends on aggressive punishment of cheaters. This is related to work by Boyd and Richerson on group-serving norms of "fairness." Corning notes: "…the principle of fairness came to play a central role in reconciling conflicting claims of self-interest within the groups/bands/tribes that were indisipensable to our ancestors' survival and reproductive success over many thousands of generations." How To Cope With Noise in the Iterated Prisoner's DilemmaOne Sentence Summary: The Tit-for-Tat strategy is vulnerable to noise – errors in implementing choices – that can lead to echoing defections, but can be made less sensitive by adding generosity (occasionally refraining from punishing defection by opponent) and contrition (refraining from punishing a reaction to accidental defection.)" Disciplines: Biology Computer Science Economics Political Science Findings:
Keywords: agent-based model complexity cooperation game theory reciprocity tit-for-tat prisoners dilemma Published in: Journal of Conflict Resolution 39, No. 1: 183-189 Date: March 1995 One Paragraph Summary: Axelrod became concerned with the problem of noise – mistaken defections in Prisoner's Dilemma games that can lead to echoing repetitions – during the Cuban Missile crisis. Adding generosity and contrition to Tit-for-Tat and reimplementing the 63 rules of the original iterated Prisoner's Dilemma tournament proved to be an effective way of coping with noise; Win-Stay, Lose-Shift did not do as well in such an environment. Axelrod was able to put Soviet and US nuclear strategists together to play Prisoner's Dilemma in 1988 for an audience of social scientists -- with noise deliberately introduced. This tournament was the basis for Axelrod's statement that "Noise calls for forgiveness, but too much forgiveness invites exploitation." The authors also noted: "Generosity can correct an error by either player, but contrition can only correct one's own error. Thus, when the population of strategies one is likely to meet has not adapted to the presence of noise, a strategy like Generous Tit-for-Tat is likely to be effective. On the other hand, if the strategies of the other players one is likely to meet have already adapted to noise, then a strategy like Contrite Tit-for-Tat is likely to be even more effective because it can correct its own errors and restore mutual cooperation almost immediately." Foundations of Human Sociality (Introduction and Overview)One Sentence Summary: Experiments like the Ultimatum Game and the Public Goods Game (one shot games for real money divided among strangers) that have been conducted in different countries all over the world have shown that group behavior frequently does not fit the traditional model of self-interested actors, that it is too richly varied between cultures to support a universal sense of fairness, and that a higher degree of market integration and higher payoffs to cooperation can be linked to greater levels of prosocial behavior. Disciplines: Economics Sociology Psychology Findings:
Keywords: trust reputation reciprocity public goods prisoners dilemma game theory equilibrium cultural evolution cooperation communication assurance game altruism Published in: Oxford University Press Date: 2004 One Paragraph Summary: The self-regarding and outcome oriented picture of human behavior presented in traditional economics does not explain why humans care so much about each other and about how social interaction is carried out, not just the end goals. The Ultimatum Game, designed by Werner Guth, is just one illustration of how real people will not always follow the dictates of self-interested rationality. Two subjects are given a sum of money, one is given the power to divide the sum, and the other can either accept or reject (in which case neither get any money). Research from conducting hundreds of trials of the game with thousands of students in Europe, Japan and the USA has shown that the responders frequently reject low offers and proposers frequently propose near equal divisions, even though it is to their monetary disadvantage. While early experiments on undergraduates seemed to suggest that there was a universal sense of fairness, extended research in different cultures (hunter-gatherers, slash-and-burn agriculturists, nomadic pastoralists) has exposed much cultural variation in responses, indicating that local cultural conditions play an important role in how people approach cooperation. One Page Summary: The self-regarding and outcome oriented picture of human behavior presented in traditional economics does not explain why humans care so much about each other and about how social interaction is carried out, not just the end goals. The Ultimatum Game, designed by Werner Guth, is just one illustration of how real people will not always follow the dictates of self-interested rationality. Two subjects are given a sum of money, one is given the power to divide the sum, and the other can either accept or reject (in which case neither get any money). Research from conducting hundreds of trials of the game with thousands of students in Europe, Japan and the USA has shown that the responders frequently reject low offers and proposers frequently propose near equal divisions, even though it is to their monetary disadvantage. While early experiments on undergraduates seemed to suggest that there was a universal sense of fairness, extended research in different cultures (hunter-gatherers, slash-and-burn agriculturists, nomadic pastoralists) has exposed much cultural variation in responses, indicating that local cultural conditions play an important role in how people approach cooperation. While mean proposals for university students from all over the world was usually between 42 and 48 percent, mean proposals from this cross-cultural study varied from 25 to 57 percent. Rejection rates, the action of the responders, also varied considerable between groups. Individual-level economic and demographic variables did not explain behavior as well as group-level behavior, and game play often could be connected to the people's common patterns of interaction. For example, the Orma recognized that one of the experiment's games was similar to the harambee, a local institution of giving to public goods like roads and schools. They began calling it 'the harambee game' and displayed highly prosocial behavior. In other groups, like the Au and Gnau, frequent rejection of generous offers can be explained by a cultural association with gift-giving: accumulating gifts, even if unsolicited, can imply a lowered status and force the receiver into future obligations or political alliance. The cross-cultural study showed that, in the case of groups at the extremes of behavior, "contrasting behaviors seem to reflect their differing patterns of everyday life, not any underlying logic of hunter-gatherer life ways." The effect of market integration on cooperation to obtain a monetary reward can be explained easily: individuals from market-oriented societies when put in the context of one of the games are able to seek analogues in their daily activities of using and trading money with strangers. "Those who do not customarily deal with strangers in mutually advantageous ways may be more likely to treat anonymous interactions as hostile or threatening, or as occasions for the opportunistic pursuit of self-interest." Evolution of Indirect ReciprocityOne Sentence Summary: Cooperation through indirect reciprocity, captured by the phrase "I help you, someone else helps me", requires the evolution of reputations and communication of those reputations among the larger group (as in the human instinct to gossip), cognitive abilities beyond being able to identify relatives (required for kin selection) or the individuals who have cooperated with you in the past (required for direct reciprocity). Disciplines: Economics Sociology Psychology Findings:
Keywords: agent-based model altruism assurance game communication cooperation equilibrium game theory language norms prisoners dilemma public goods punishment reciprocity reputation tit-for-tat trust Published in: Nature 437, 1291-1298 Date: October 27, 2005 One Paragraph Summary: Cooperation through indirect reciprocity, can be captured by the phrase "I help you, someone else helps me". Indirect reciprocity helps explain how cooperation is possible at all when economic transactions move beyond small villages where one can easily keep track of one's interactions with everyone else. The success of strategies of indirect reciprocity in empirical studies might be attributable to the fact that humans care so deeply not only about how they are treated, but about the results of interactions between third parties. This concern and the desire to communicate concerns, or gossip, might in turn be explained by evolutionary psychology and the benefits of cooperation in large groups, surpluses resulting from division of labor. To test strategies of indirect reciprocity no two players can interact more than once and the scores of players (the portion of times they have cooperated with others) must be visible. A player choosing a simple version of indirect reciprocity will only cooperate with those whose score is above a certain threshold. However, this player might be punishing another player using indirect reciprocity who has only interacted with defectors. "Effectively, discriminating players pay a cost for punishing bad co-players. Such a form of altruistic punishment can promote cooperation in the community, but at a cost to the punisher, and thus can be viewed as a social dilemma." A more sophisticated strategy would have a player discriminate between justified defection (defecting to punish someone who always defects) and unjustified defection (defecting regardless of the recipients reputation). This strategy avoids the case where a group of players who always cooperate is invaded by a group of players who always defect, but it requires the cognitive abilities to keep track of interactions that are far removed from one's own. Coalitional Effects on Reciprical Fairness in the Ultimatum Game: A Case from the Ecuadorian AmazonOne Sentence Summary: Patton attributes differences between two Ecuadorian ethnic/political groups in their willingness to cooperate in the Ultimatum Game to the groups' "differences in coalitional stability, perceptions of trust, and needs to maintain reputation," and emphasizes properties of the groups' political environment over individual differences. Disciplines: Anthropology Political Science Findings:
Keywords: reciprocity game theory cooperation capitalism assurance game altruism reputation social capital trust Published in: Oxford University Press Date: 2004 One Paragraph Summary: This study examined patterns of cooperative behavior of two ethnic/political groups in Conambo of the Ecuadorian Amazon, the Achuar and the Quichua, with the Ultimatum Game. The participants were randomly divided into proposers and responders. Proposers were told to divide 20 coins worth a total of a days labor (approximately $3.85) into two piles, one for them and one for the responders. The proposer then left the room and a responder was brought in, not knowing the identity of their proposer, and asked to accept or reject the division (rejection of the division entailed no money for either participant, aside from the 5 coins given to all at the start for their time). A successive pile technique was used to determine the alliance strength of all participants. Informants were asked to divide photographs of the participants according to who would be most reliable in maintaining a coalition during a conflict. The researchers found that proposers with higher average alliance strength gave more generous offers and that the Achuar, with higher average alliance strength, had an average proposal of 42.9 percent, while the Quichua, with lower average alliance strength, had an average proposal of 24.6 percent. "The relationship between average alliance strength and amounts offered appears to be a group effect rather than an individual effect." |
Interested in participating? Visit Contact, and choose "Request to Participate". Who's new
User loginSearchWho's onlineThere are currently 0 users and 3 guests online.
|