Reforming Juvenile Justice through Comprehensive Community Planning

Comprehensive Community Planning is a model that emphasizes prevention, intervention, community-building, and a reliance on research as the basis for an approach to solving problems of youth crime. The model was tested in three pilot sites, Fort Meyers, FL, Jacksonville, FL, and San Diego County, CA. This publication details the planning process in each of these sites, the lessons learned, and the various benefits to the communities involved

Artificial life meets computational creativity?

I review the history of work in Artificial Life on the problem of the open-ended evolutionary growth of complexity in computational worlds. This is then put into the context of evolutionary epistemology and human creativity

Resolving the Raven Paradox: Simple Random Sampling, Stratified Random Sampling, and Inference to the Best Explanation

Simple random sampling resolutions of the raven paradox relevantly diverge from scientific practice. We develop a stratified random sampling model, yielding a better fit and apparently rehabilitating simple random sampling as a legitimate idealization. However, neither accommodates a second concern, the objection from potential bias. We develop a third model that crucially invokes causal considerations, yielding a novel resolution that handles both concerns. This approach resembles Inference to the Best Explanation (IBE) and relates the generalization’s confirmation to confirmation of an associated law. We give it an objective Bayesian formalization and discuss the compatibility of Bayesianism and IBE