The Uses of Violence: An Examination of some Cross-Cutting Issues

A general theory of violence may only be possible in the sense of a meta-theoretical framework, As such it should comprise a parsimonious set of general mechanisms that operate across various manifestations of violence. In order to identify such mechanisms, a general theory of violence needs to equally consider all manifestations of violence, in all societies, and at all times. Departing from this assumption this paper argues that three theoretical approaches may be combined in a non-contradictory way to understand violence as goal-directed instrumental behaviour: a theory of the judgment and decision-making processes operating in the situations that give rise to violence; a theory of the evolutionary processes that have resulted in universal cognitive and emotional mechanisms associated with violence; and a theory of the way in which social institutions structure violence by selectively enhancing its effectiveness for some purposes (i.e legitimate use of force) and controlling other types of violence (i.e crime). To illustrate the potential use of such a perspective the paper then examines some general mechanisms that may explain many different types of violence. In particular, it examines how the mechanisms of moralistic aggression (Trivers) and moral disengagement (Bandura) may account for many different types of violence.

Libre Courseware For Bayesian Decision Making

This paper describes the ideas and problems of the Edukalibre e-learning project, in which the author takes part. The basic objective of the project shares the development and exploitation of software components for web-based information systems applied to education as well as organizing of teaching material for them. The paper concerns a problem of the mathematical-oriented courseware and describes the experience in developing LaTeX-supporting online converting tool.

Path Dependence in Decision-Making Processes: Exploring the Impact of Complexity under Increasing Returns

The development of path-dependent processes basically refers to positive feedback in terms of increasing returns as the main driving forces of such processes. Furthermore, path dependence can be affected by context factors, such as different degrees of complexity. Up to now, it has been unclear whether and how different settings of complexity impact path-dependent processes and the probability of lock-in. In this paper we investigate the relationship between environmental complexity and path dependence by means of an experimental study. By focusing on the mode of information load and decision quality in chronological sequences, the study explores the impact of complexity on decision-making processes. The results contribute to both the development of path-dependence theory and a better understanding of decision-making behavior under conditions of positive feedback. Since previous path research has mostly applied qualitative case-study research and (to a minor part) simulations, this paper makes a further contribution by establishing an experimental approach for research on path dependence.