Those who believe that explicitly Christian thinking is possible in the scientific disciplines tend to assume that it must be antithetical to the world’s thinking. Based on some of the author’s experience, this article examines a different approach, in which Christian thinking is used to account for and enrich the world’s thinking by transplanting it from its current ground-motive into the arguably more fertile soil of the creation-fall-redemption ground-motive. The article shows how Dooyeweerd’s version of Christian thinking has been employed (...) in two areas of thinking in information systems : thinking about the nature of computers and information, with the artificial intelligence question of whether computer is like human being soft systems methodology, by which perspectives on ‘human activity systems’ are orchestrated into new learning and plans. In both areas, the original ideas are accounted for, given philosophical underpinning, reinterpreted and enriched. These two show that Dooyeweerd’s philosophy can be equally useful in thinking grounded in both positivist and interpretivist cultures. (shrink)

Economies are complicated systems encompassing micro behaviors, interaction patterns, and global regularities. Whether partial or general in scope, studies of economic systems must consider how to handle difficult real-world aspects such as asymmetric information, imperfect competition, strategic interaction, collective learning, and the possibility of multiple equilibria. Recent advances in analytical and computational tools are permitting new approaches to the quantitative study of these aspects. One such approach is Agent-based Computational Economics (ACE), the computational study of economic processes modeled as dynamic (...) systems of interacting agents. This chapter explores the potential advantages and disadvantages of ACE for the study of economic systems. General points are concretely illustrated using an ACE model of a two-sector decentralized market economy. Six issues are highlighted: Constructive understanding of production, pricing, and trade processes; the essential primacy of survival; strategic rivalry and market power; behavioral uncertainty and learning; the role of conventions and organizations; and the complex interactions among structural attributes, institutional arrangements, and behavioral dispositions. (shrink)

The structuration theory originally provided by Anthony Giddens and the advance improvement of the theory has been trying to solve the dilemma came up in the epistemological aspects of the social sciences and humanity. Social scientists apparently have to choose whether they are too sociological or too psychological. Nonetheless, in the works of the classical sociologist, Emile Durkheim, this thing has been stated long time ago. The usage of some models to construct the bottom-up theories has followed the vast of (...) computational technology. This model is well known as the agent based modeling. This paper is giving a philosophical perspective of the agent-based social sciences, as the sociology to cope the emergent factors coming up in the sociological analysis. The framework is made by using the artificial neural network model to show how the emergent phenomena came from the complex system. Understanding the society has self-organizing (autopoietic) properties, the Kohonen’s self-organizing map is used in the paper. By the simulation examples, it can be seen obviously that the emergent phenomena in social system are seen by the sociologist apart from the qualitative framework on the atomistic sociology. In the end of the paper, it is clear that the emergence sociology is needed for sharpening the sociological analysis in the emergence sociology. (shrink)