Don Howard

This paper begins by summarizing the chief, original contributions to technology ethics in Shannon Vallor’s recent book, Technology and the Virtues: A Philosophical Guide to a Future Worth Wanting, highlighting especially the book’s distinctive inclusion of not only the western virtue ethics tradition but also the analogous traditions in Buddhist and Confucian ethics. But the main point of the paper is to suggest that the theoretical framework developed in the book be extended to include an analysis of the distinctive civic virtues that are crucial to the well functioning of communities of makers, marketers, consumers, and regulators of technology, constituting, as it were, technomoral civic virtue ethics. It is suggested that prominent among these civic virtues is what is dubbed “Socratism,” the habit of regular querying of community aims and practices for the purpose of keeping community action focused on the goods internal to community practice, and the goods of the larger communities in which these local communities are embedded.

Steven French and Décio Krause have written what bids fair to be, for years to come, the definitive philosophical treatment of the problem of the individuality of elementary particles in quantum mechanics and quantum field theory. The book begins with a long and dense argument for the view that elementary particles are most helpfully regarded as non-individuals, and it concludes with an earnest attempt to develop a formal apparatus for describing such non-individual entities better suited to the task than our customary set theory. Along the way one is treated to a compendious philosophical history of quantum statistics and a well-nigh exhaustive (I’m tempted to say, “exhausting”) analytical history of philosophical responses to the quantum theory’s prima facie challenge to classical notions of particle individuality. The book is also a salvo from the headquarters artillery company of the “pro” side in the contemporary structuralism wars, and an essay in metaphysical naturalism. Whew! There are too many places where the friendly critic wants to engage the argument, and few where the authors have not already anticipated such engagement. I take this as my excuse, then, for offering not any systematic response to the whole project, but just some questions and observations about several points that caught my attention.

more on the history of the Vienna Circle and its allies, see Coffa 1991; Friedman 1983; Hailer 1982, 1985; Kraft 1950; and Proust 1986, 1989). Without question, however, the crucial, formative, early intellectual experience of at least Schlick, Reichenbach, and Carnap, the experience that did most to give form and content to their emergent philosophies of science, was their engagement with relativity theory. Thus, after a few early writings on more general philosophical themes, Schlick first caught the attention of a broader philosophical public with his 1915 essay, "Die philosophische Bedeutung des..

This paper proposes a model of the Artificial Autonomous Moral Agent (AAMA), discusses a standard of moral cognition for AAMA, and compares it with other models of artificial normative agency. It is argued here that artificial morality is possible within the framework of a “moral dispositional functionalism.” This AAMA is able to “read” the behavior of human actors, available as collected data, and to categorize their moral behavior based on moral patterns herein. The present model is based on several analogies among artificial cognition, human cognition, and moral action. It is premised on the idea that moral agents should not be based on rule-following procedures, but on learning patterns from data. This idea is rarely implemented in AAMA models, albeit it has been suggested in the machine ethics literature (W. Wallach, C. Allen, J. Gips and especially M. Guarini). As an agent-based model, this AAMA constitutes an alternative to the mainstream action-centric models proposed by K. Abney, M. Anderson and S. Anderson, R. Arkin, T. Powers, W. Wallach, i.a. Moral learning and moral development of dispositional traits play here the fundamental role in cognition. By using a combination of neural networks and evolutionary computation, called “soft computing” (H. Adeli, N. Siddique, S. Mitra, L. Zadeh), the present model reaches a certain level of autonomy and complexity, which illustrates well “moral particularism” and a form of virtue ethics for machines, grounded in active learning. An example based on the “lifeboat metaphor” (G. Hardin) and the extension of this model to the NEAT architecture (K. Stanley, R. Miikkulainen, i.a.) are briefly assessed.

This paper proposes a model for an artificial autonomous moral agent (AAMA), which is parsimonious in its ontology and minimal in its ethical assumptions. Starting from a set of moral data, this AAMA is able to learn and develop a form of moral competency. It resembles an “optimizing predictive mind,” which uses moral data (describing typical behavior of humans) and a set of dispositional traits to learn how to classify different actions (given a given background knowledge) as morally right, wrong, or neutral. When confronted with a new situation, this AAMA is supposedly able to predict a behavior consistent with the training set. This paper argues that a promising computational tool that fits our model is “neuroevolution,” i.e. evolving artificial neural networks.