A Dynamic Theory of Communication
Communication is a dynamic and complex process. The study of human communication introduces us to a world of multiple scenarios, agents, variables and interconnections, which are important to understand. As in any scientific discipline, the compromise between abstraction and a rigorous analysis, on one hand, and the need to discuss subjects in all their complexity and deepness, on the other hand, is a difficult task, and some simplifications and shortcomings become inevitable. In the analysis of such a wide and pervasive subject as is communication, it is necessary to choose a path, to define strategies of analysis and to formulate concrete problems. In this book, communication is worked on the basis of mathematical models that deal with relations between variables of the communicational process. Centring the attention on the notion of dynamic process, techniques of intertemporal analysis and optimal control are considered with the goal of highlighting and reinforcing some of the main ideas that the communication theory has produced and explored in the last few decades.
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Concepts and Relations between Variables
A Model of Communication and Choices
Optimization of the Communication Result
5 other sections not shown
agent allows associated assumed behavior capital chapter capital per unit capital variable characterize cognitive resources communication process communicational efficiency computation considered consumed convergence corresponding decision defined differential equation directional arrows dynamic equation economic effect eigenvalues eigenvector endogenous variables entropy equilibrium point equilibrium value evaluation exogenous expected benefit expected reward figure firm form of capital given human capital impact implies increase indifference curve intensity of choice interpretation intertemporal investment in human isocline Jacobian matrix larger learning level of utility linearized long-run maximization problem means memory loss negative non digital obtain optimal optimal control option organizational capital parameter perturbation phase diagram physical capital positive possible present probabilities of choice process of communication production function profit maximization relation relatively relevant saddle-path equilibrium scenario sender shadow-price slope social interaction specific stable trajectory steady-state point steady-state value symbolic interaction transmitted unit of physical utility function vector