Four arguments are examined in order to assess the state of the Intelligent Design debate. First, critics continually cite the fact that ID proponents have religious motivations. When used as criticism of ID arguments, this is an obvious ad hominem. Nonetheless, philosophers and scientists alike continue to wield such arguments for their rhetorical value. Second, in his expert testimony in the Dover trial, philosopher Robert Pennock used repudiated claims in order to brand ID as a kind of pseudoscience. His arguments hinge on the nature of methodological naturalism as a metatheoretic shaping principle. We examine the use of such principles in science and the history of science. Special attention is given to the demarcation problem. Third, the scientific merits of ID are examined. Critics rightly demand more than promissory notes for ID to move beyond the fringe. Fourth, although methodological naturalism gets a lot of attention, there is another shaping principle to contend with, namely, conservatism. Science, like most disciplines, tends to change in an incremental rather than revolutionary manner. When ID is compared to other non-or quasi-Darwinian proposals, it appears to be a more radical solution than is needed in the face of the anomalies.
The use of idealized models in science is by now well-documented. Such models are typically constructed in a “top-down” fashion: starting with an intractable theory or law and working down toward the phenomenon. This view of model-building has motivated a family of confirmation schemes based on the convergence of prediction and observation. This paper considers how chaotic dynamics blocks the convergence view of confirmation and has forced experimentalists to take a different approach to model-building. A method known as “phase space reconstruction” not only reveals a lacuna in the philosophical literature on models, it also fails to conform to conventional views about how models are used to confirm a theory.
A recent noninterventionist account of divine agency has been proposed that marries the probabilistic nature of quantum mechanics to the instability of chaos theory. On this account, God is able to bring about observable effects in the macroscopic world by determining the outcome of quantum events. When this determination occurs in the presence of chaos, the ability to influence large systems is multiplied. This paper argues that, although the proposal is highly intuitive, current research in dynamics shows that it is far less plausible than previously thought. Chaos coupled to quantum mechanics proves to be a shaky foundation for models of divine agency.
Scientific knowledge is not merely a matter of reconciling theories and laws with data and observations. Science presupposes a number of metatheoretic shaping principles in order to judge good methods and theories from bad. Some of these principles are metaphysical (e.g., the uniformity of nature) and some are methodological (e.g., the need for repeatable experiments). While many shaping principles have endured since the scientific revolution, others have changed in response to conceptual pressures both from within science and without. Many of them have theistic roots. For example, the notion that nature conforms to mathematical laws flows directly from the early modern presupposition that there is a divine Lawgiver. This interplay between theism and shaping principles is often unappreciated in discussions about the relation between science and religion. Today, of course, naturalists reject the influence of theism and prefer to do science on their terms. But as Robert Koons and Alvin Plantinga have argued, this is more difficult than is typically assumed. In particular, they argue, metaphysical naturalism is in conflict with several metatheoretic shaping principles, especially explanatory virtues such as simplicity and with scientific realism more broadly. I will discuss these arguments as well as possible responses. In the end, theism is able to provide justification for the philosophical foundations of science that naturalism cannot.
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