Hennie Lötter

What is justice all about? What is the scope of the concept of justice? What issues can legitimately be evaluated in terms of justice? In her book Justice and the Politics of Difference, Iris Marion Young challenges the concept of justice as defined by John Rawls and used by many others in the philosophical debates that responded to Rawls’s, A Theory of Justice (1971). Is Young’s critique on the prevailing use of the concept of justice and contemporary theories of justice correct? Is her alternative understanding of the concept viable? In this paper I want to critically examine her views on the concept of justice and compare them with a close reading of John Rawls’s use of the concept of justice. The comparison of Young and Rawls will lead me to reconcile their views in terms of the central features of the concept of justice.

How can citizens be made just? I focus on how modern constitutional democracies can entice, convince, and guide their citizens to become just. I rely chiefly on Rawls’s theory of justice, as well as the work of sociologist Derek L. Phillips. I argue that internal control by citizens them selves is the best option. This view is attractive because every citizen can play apart in establishing and maintaining the public conception of justice by being role models, engaging in dialogue with fellow citizens, or by simply doing their part in maintaining just in situations.

In this article I present an alternative philosophy of science based on ideas drawn from the study of complex adaptive systems. As a result of the spectacular expansion in scientific disciplines, the number of scientists and scientific institutions in the twentieth century, I believe science can be characterised as a complex system. I want to interpret the processes of science through which scientists themselves determine what counts as good science. This characterisation of science as a complex system can give an answer to the question why the sciences are so successful in solving growing numbers of problems and correcting their own mistakes. I utilise components of complexity theory to explain and interpret science as a complex system. I first explain the concept of complexity in ordinary language. The explanation of science as a complex system starts with a definition of the basic rules that guide the behaviour of science as a complex system. Next, I show how various sciences result through the implementation of these rules in the study of a specific aspect of reality. The explanation of the growth of science through evolutionary adaptation and learning forms the core of the article.