Many of the computing systems programmed using Machine Learning are opaque: it is
difficult to know why they do what they do or how they work. Explainable Artificial …

Artificial intelligence (AI) has historically been conceptualized in anthropomorphic terms.
Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital …

3 wider range of scientific domains. We should emphasize that both of these classifications
are idealizations. Metaphysical and methodological questions are of course not that easy to …

In artificial intelligence, recent research has demonstrated the remarkable potential of Deep
Convolutional Neural Networks (DCNNs), which seem to exceed state-of-the-art …

The past decade has witnessed a growing awareness of conceptual and methodological
hurdles within psychology and neuroscience that must be addressed for taxonomic and …

Science, philosophy of science, and metaphysics have long been concerned with the
question of how order, stability, and novelty are possible and how they happen. How can …

The central task of cognitive neuroscience to map cognitive capacities to neural
mechanisms faces three interlocking conceptual problems that together frame the problem …

The search for the'furniture of the mind'has acquired added impetus with the rise of new
technologies to study the brain and identify its main structures and processes. Philosophers …

This book develops a new approach to naturalizing phenomenology. The author proposes
to integrate phenomenology with the mechanistic framework that offers new methodological …

This chapter outlines and defends a mechanistic interpretation of David Marr's account of
explanation in cognitive science and thereby attempts to resolve the ambiguities that remain …