(no subject)

Ian Fasel (ianfasel@mail.utexas.edu)
Wed, 3 Mar 1999 01:07:51 -0600

Cognition and Civil Society

Cognition and Civil Society

It has occured to me that a study of civil society may be enriched by input from the current scientific research into the behaviors of systems, and the distributed cognitive processes that take place in groups of autonomous agents. While political science tends to look at large issues affecting civilizations (though it does in fact frequently study the lives of individual leaders and often draws from research in anthropology and other social sciences), it is a novel idea, I think, to apply modern theories in psychology and cognitive science to ideas in political science, especially considering that these sciences themselves normally are uninterested in large social groups and typically have remained focused on behavior of individuals. To this end, I intend to discuss an exciting recently emerging theory in cognitive science, called distributed cognition, and show how it is relevant and revealing to our current study of civil society.

The idea of socially distributed cognition is finding new popularity. Over the years, a wide range of disciplines in the social sciences have explored these questions. Anthropologists and sociologists studying knowledge and memory, AI researchers building systems to do distributed problem solving, social psychologists studying small group problem solving and jury decision making, organizational scientists studying organizational learning, philosophers of science studying discovery processes, and economists and political scientists exploring the relations of individual and group rationality, all have taken stances that lead them to a consideration of the cognitive properties of societies of individuals. Since the cognitive properties of socially distributed systems emerge from the patterns of trajectories of information, and since trajectories of information are determined in large part by social organization, social organization can be seen as the cognitive architecture of distributed systems.

This marks a pradigm shift in these disciplines, and it suggests to psychology a new theory: that rather than using the language of mind to describe what is happening in a social group, we can use the language of social groups to describe what is happening in a mind. In Society of Mind, Minsky says, "...each brain contains hundreds of different types of machines, interconnected in specific ways which predestine that brain to become a large, diverse society of partially specialized agencies. "Taking on such a perspective, it becomes clear that distributed cognition scales from idividuals, in which minds are a kind of distributed cognition, to societies, in which cognition is the result of the minds of many individuals.

With the much more intimate relation between mind and environment that is provided by distributed cognition theory comes the possibility of seeing new kinds of relations between culture and cognition. Ed Hutchins treats this at length in his recent book, Cognition in the Wild. These new relations appear when we address the functional specifications for human cognition. What is a mind really used for? How are thinking tasks really done in the everyday world? Furthermore, how do groups accomplish tasks that no individual mind is capable of alone? How do societies work together to improve institutions and develop governments that work?

Cognitive science is beginning to gain the understanding that many in political science have had for years: that there is a "group feeling", a general will, a cultural memory and intent that affects people and societes in a way that is much deeper than the will of individuals. In the process, cognitive science has begun to employ its own methods of investigation to answer these questions, giving a deeper psychological and scientifically verifiable basis for discussing anything resembling a Hegelian dialectical progression of institutes and civilizations.

Under this new view, persons are seen as embedded in complex environments that are active resources for learning, problem solving and reasoning. Culture is a process that accumulates partial solutions to frequently encountered problems. Even from common experience we can see clearly that we live with the residue of previous activity, which is both enabling and constraining. And we see from reading about the growth and death of institutions (as in Outnam), dynasties (as in Ibn Khaldun), and entire cultures (as in Huntington) that there is clearly a deep element of group behavior that seems to govern social interaction. Research in cognitive science can now show with experimental basis that the intellectual tools that culture provides enable us to accomplish things that we could not do without them. It is also becoming clear, though, that at the same time they may blind us to other ways of thinking and make some things seem impossible. We are thus arriving to better theoretical grounding for the truth that culture is a process that involves the interactions of mental structure, material structure, and social structure.

One of the more recent studies done to study this phenomenon of intelligance as an emergent behavior of groups of agents is through the study of communities of neural networks. A little backgound is in order: In order to decrease juror apathy and enliven somewhat the experience of sitting on a jury, the state of Arizona has enacted legislation that allows jurors to discuss evidence presented in a court case among themselves duing the trial, rather than having to wait until the end. However, many have predicted that the result will be an increased rate of convictions. Cognitive scientists studying distributed cognition at UC San Diego designed a system of communities of neural networks to simulate this juror experience and test this hypothesis. The results (as yet unpublished) seem to verify this hypothesis. Through a dynamic of early reinforcement and inhibition of knowledge gained in simulated trials, connectionist simulations of juries indeed tend to much greater proportions of convictions than networks which remain uncoupled until the latest stages of the trial. These results are further confirmed by observations in counties in Arizona where this program has been implemented, in which conviction rates have risen measurably.

This study has not been taken lightly among legal practicioners, and large bodies of evidence are currently being prepared to present to Arzona lawmakers as an attempt to reverse this legislation. The connectionist simulation is taking a prominent role in this debate, because it provides a strong theoretical and experimental basis for the theories that otherwise would have had to rely heavbily on speculation and common sense argument.

Distributed cognition thus returns culture, context, and history to the picture of cognition. The result is a theoretical and experimental basis for the results that researchers like Putnam have obtained in studies of large societies of people. Thus, while Putnam postulates a "social capitol" based on strong statistical correlations, distributed cognition can provide a theoretical basis for explaining the causal relationships revealed in those correlations.

The directions that distributed cognition can take us are quite exciting. Finally we have a scientific basis for claiming that there is a group will of a society that exists outside the skin and skull of the individuals who make it up. Huntingto's and Putnam's theories that suggest a cultural basis for thinking and for institution making that extend deep below the surface of rational thought in contemporary society now can rely on a grounding that starts with the neurons of individuals and scales to large groups of individuals. We are very fortunate that institutes like the NSF agree, and are rapidly increasing funding to this exiting new field.