The Wisdom of Crowds, an innovative theory described in social science, claims that the aggregate decisions made by a group will often be better than those of its individual members if the four fundamental criteria of this theory are satisfied. This theory used for in clustering problems. Previous researches showed that this theory can significantly increase the stability and performance of...

The development of U.S. corporate law has traditionally been explained through a race model: jurisdictions compete for corporate franchise taxes and thus corporate law converges towards efficiency. Recent critiques have undermined this argument without presenting a new model in its place. This paper develops theoretically and tests empirically two alternative theories of corporate law developme...

Criminology and Penology Theories Anomie Differential Association Theory Deviance Labeling Theory Psychopathy Rational Choice Theory Social Control Theory Social Disorganization Theory Social Learning Theory Strain Theory Subcultural Theory Symbolic Interactionism · Victimology Types of crimes Blue-collar crime · Corporate crime Juvenile crime Organized crime Political crime · Public order crim...

Although numerous studies have attempted to understand the causes of various forms of police misconduct, there is still no clear theoretical explanation of police misbehavior. Akers’ social learning theory posits that peer associations, attitudes, reinforcement, and modeling are predictors of delinquency and crime in general. With this article, we seek to determine if the theory can account for...

This paper studies the behavioral foundations of non-Bayesian models of learning over social networks and develops a taxonomy of conditions for information aggregation in a general framework. As our main behavioral assumption, we postulate that agents follow social learning rules that satisfy “imperfect recall,” according to which they treat the current beliefs of their neighbors as sufficient ...

This paper employs the network perspective to study patterns and structures of intraorganizational learning networks. The theoretical background draws from cognitive theories, theories of homophily and proximity, theories of social exchange, the theory of generalized exchange, small-worlds theory, and social process theory. The levels of analysis applied are actor, dyadic, triadic, and global. ...

The general aim of the contributions to this special issue was to foster learning in computer supported collaborative learning environments by designing instructional interventions that enhance collaboration between learners. Scripts and external representations were used as instructional interventions to support social and cognitive processes, respectively, during collaborative learning. Altho...

Adaptive learning techniques are used in numerous algorithms for classification, prediction and strategic game play1, including boosting. However, these techniques are not unique to computational learning theory. Adaptive learning approaches are also used in the social sciences2, particularly in stochastic game theory. The goal of this paper is to show that there exist significant connections b...