The commonsense view of social evolution as the product of choices made in the marketplace of cultural possibilities resulting in the continuous betterment of the human condition is flawed.

The rise of civilization, paradoxically, reduced the natural limits separating societies. In such a situation, Schmookler's Parable of the Tribes describes how, in a situation in which two or more actors desire to exploit a limited resource, power becomes important and a contaminant of the possibility of peaceful co-existence:

All of a group of tribes living within reach of each other choose peace. However, if all but one choose peace, there are four possibilities for the threatened neighbors:

• Destruction.
• Absorption and enslavement.
• Withdrawal to a less desirable place.
• Imitation of the aggressive behavior.

Technological innovation and “improvement,” far from making things inevitably better, can extend the reach of aggressors throughout the world.

Cultural homogenization and the diminishment of diversity happens both through benign, commonsense choice (i.e., innovations as improvements) as well as through compulsion by dominant aggressors.

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:

• Tit for tat - a player will initially cooperate and then in future rounds mimic the behavior of their opponent.
• Tit for 2 Tats - a player will cooperate for the first two rounds and then defect in rounds where their opponent defected in the previous two.
• Suspicious Tit for Tat - a player will initially defect and then will mimic their opponent in future rounds.
• Always Defect
• Always Cooperate
• Grim Trigger - Begin by cooperating, if opponent defects then always defect afterward.

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.

Insect studies on emergent intelligence in swarms of unintelligent actors has practical relevance to distributed computing, robotics, and other applications; for example, foraging insects use pheromone trails to select the shortest paths to food, a strategy that has been used to solve the famous "traveling salesman problem" in computer science. Systems with distributed collective intelligence are more robust because they can adapt quickly to a variety of situations.

Foraging ants select the shortest paths to food. They are so efficient that ant models have been used to solve the famous “traveling salesmen problem,” a classic in computer science, which concerns finding the shortest route that will take a salesman through a group of cities. Successive iterations over path networks (paths that have been discovered) results in the shortest routes getting reinforced and the longest ones getting abandoned. The outcome is an optimal path length for ant foraging.

Also, artificial ants provide the best solution to the classic quadratic assignment problem, in which the manufacture of a number of goods must be assigned to different factories so as to minimize the total distance over which the items need to be transported between facilities. There exist many such “optimization problems”, such as telephone routing. Also, individual robots have been programmed to push a box to a destination without communicating.

In another project, a model that was initially introduced to explain how ants cluster their dead and sort their larvae has become the basis of a new approach for analyzing financial data. “The ant-based approach enables the data to be visualized easily, and it boasts one intriguing feature: the number of clusters emerges automatically from the data, whereas conventional methods usually assume a predefined number of groups into which the data are then fit. Thus, antlike sorting has been effective in discovering interesting commonalties that might otherwise have remained hidden.”

Again using a biological system as a model, scientists have devised a technique for scheduling paint booths in a truck factory. The method optimizes variables like paint usage and time spent, as well as implementing load-sharing between paint booths in the case of breakdowns.

“Indeed, the potential of swarm intelligence is enormous. It offers an alternative way of designing systems that have traditionally required centralized control and extensive preprogramming. It instead boasts autonomy and self-sufficiency, relying on direct or indirect interactions among simple individual agents. Such operations could lead to systems that can adapt quickly to rapidly fluctuating conditions.”

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.

Recent years have seen a series of questions asking the applicability and usefulness of traditional collective action theory to certain contemporary phenomena. To name an example, Olson's (1965) proposition that small groups are more successful than larger ones in his account of collective action theory can now be widely contested with evidence from contemporary networks such as the highly successful Indymedia (a large network of journalists, writers, and everyday people organised around participatory media principles).

The paper first examines traditional collective action theory in relation to two central elements: the problem of free-riding and the importance of formal organisation as one important way to overcome it. The challenges presented by new uses of information and communication technologies address specifically to these fundamental elements.

A number of examples are presented, to drive the point that collective action theory has evolved or departed from its traditional concept especially with respect to free-riding (do I contribute or free-ride) and the role of, and dependence on organisation. Some examples are:

1. “Battle in Seattle”, in which a far-flung network of groups «used e-mail, the Web, and chat rooms to engage in a largely self-organising protest against the policies of the World Trade Organisation» (pp 370).
2. The International Campaign to Ban Landmines (ICBLM): «a core strength of the campaign, which still seems to be ill understood by many, has always been its loose structure» (pp. 370).
3. «participating in various groups and public forums in which people's useful contributions emerge from an interactive process rather than the explicit pursuit of a goal» (pp 371).
4. «posting information on a web page or weblog, contributing to discussion on an electronic bulletin board» (pp 372).
5. Open source projects (pp 375).
6. Spontaneously organised smart mobs (Rheingold, 2002) aimed at public goods (pp 376).

These examples effectively illustrate how the nature of free-riding, organisations, and organising have changed in the contemporary media environment. In the case of the problem of free-riding, the binary decision of whether one contributes or free-ride is no longer apparent. Instead, the individual frequently go back and forth through a process of interaction and negotiation for collective action. In many of these scenarios, decisions to free-ride or contribute can also no longer be easily discerned.

The rise of new technological and participatory media have also made communication methods that used to be exclusive to formal organisations, now available for individuals. Changing structures of organisation that are made possible by communication technologies have also resulted in the ability of social movements and groups to take on certain functions of formal organisations — even surpassing the possibilities of formal organisations. Again, the boundaries are blurred, «between traditional hierarchical forms and flexible network structures».

By studying these phenomena, collective action theory is now reframed using the principle of boundary-crossing between private and public. In this context, when an individual cross a boundary between private and public realms, and when this boundary is crossed by two or more people in conjunction with a public good, collective action is said to have occurred. This is a rich frame by which several scenarios in the current contemporary media environment can be accommodated:

• the ease of transforming private discourse to public discourse, without any specific dependence on central organisation (e.g. private responses to an e-mail discussion which eventually becomes public)
• The absence of a central organisation prompting people to share their email lists (transforming private domains into a public domain of collective action)
• The Web as a vehicle for crossing boundaries (information that are privately created may one day become useful publicly)

The facilitation of private-public boundaries results in exchanges that could arguably advance collective action. Technologies that help to identify, for example, private interests, experiences, and acquaintance once identified as shared between people can prompt collective action. Other than permitting the constitution of pubic spheres around commons interests, this focus would also accommodate the continuum by which individuals and groups can easily move back and forth between private and public realms.

Further thoughts:

The notion of using the private-public boundary crossing as the principle to explain contemporary types of collective action is a very interesting one, especially in relation to the commons paradigm in the media environment. Such reconceptualization of collective action is also necessary, in light of the various types of convergence that the world is witnessing today. The convergence of technologies and growing interdependence between people and their uses of technologies, converging communities and organisations, and convergence in media as they continuously evolve over time.

Having said this, there is also a number of theories and constructs which I think would be very useful to study along with the work raised by this paper. For example, borrowing the lens of structuration theory (Giddens, 1986) to look at how the nature of technologies in use reflect the structural and agency properties of the private and public realms would enhance understandings around the social processes of these technologies (how technologies influence and are influenced by people). The theoretical constructs of the commons, such as the Prisoner's dilemma and the tragedy as conceived by Hardin (1968) would also be relevant to study with respect to the free-riding problem and the role of organisations raised by traditional collective action theory. And along with this paper, it may also be worthwhile to reframe the commons concept in light of the contemporary scenarios of the commons.

References

Bimber, B., Flanagin, A. J. and Stohl, C. (2005) Reconceptualizing Collective Action in the Contemporary Media Environment. Communication Theory, 15 (4), 365-388.

Giddens, A. (1986) The constitution of society: outline of the theory of structuration, University of California Press, Berkeley.

Hardin, G. (1968) The Tragedy of the Commons. Science, 62, 1243-1248

Rheingold, H. (2002) Smart mobs: the next social revolution, Perseus Books Group, Cambridge.

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."

The theory that ancestral hominids were hunters has achieved considerable popularity. The authors note that there is considerable evidence that ancestral hominids were more likely a prey species. There are three major lines of evidence:

• Modern humans are occasionally prey species for certain predators, especially for tigers in parts of modern India and Bangladesh … people wear masks on the backs of their heads in order to appear alert to potential stalkers.
• Modern apes and monkeys are frequent prey species for a wide variety of carnivores, a fact which does not appear in publications about the animals themselves but which is widely noted in works covering the diet of the predators themselves.
• Ancestral hominid fossils show the marks of various predators – tooth, claw, and talon marks – that are consistent with predation.

The authors demonstrate the prey-nature of early hominid ancestors. Their speculations as to what this means in evolutionary and behavioral terms, however, are weaker. This is because it is a long way (in both time and, potentially, place) from Australopithicus afarensis to H. sapiens … the use of tools and fire, for instance, may well have modified behavior inasmuch as the immediate ancestors of H. sapiens became a more formidable prey species.

The question as to what behaviors are derived from those ancestors which were commonly prey animals remains open for speculation and future work. That said, the authors present a challenge to those who maintain the view that humankind’s ancestors were hunters from the earliest times.