Peter Danielson

Rationality and evolution are apparently quite different, applying, respectively, to the acts of complex, well-informed individuals and to populations of what may be mindlessly simple entities. So it is remarkable that evolutionary game theory shows the theory of rational agents and that of populations of replicating strategies to be isomorphic. Danielson illustrates its main concepts—evolutionarily stable strategies and replicator dynamics—with simple models that apply to biological and social interactions; and he distinguishes biological, economic, and generalist ways of interpreting the theory. Against the background of isomorphism, he considers three ways in which evolution and rationality differ and how two-level models may combine them. He concludes with a survey of the normative significance of the unification of rationality and evolutionary game theory and some speculation about the evolution of human rationality.

N-Reasons is an experimental Internet survey platform designed to enhance public participation in applied ethics and policy. N-Reasons encourages individuals to generate reasons to support their judgments, and groups to converge on a common set of reasons pro and con various issues. In the Robot Ethics Survey some of the reasons contributed surprising judgments about autonomous machines. Presented with a version of the trolley problem with an autonomous train as the agent, participants gave unexpected answers, revealing high expectations for the autonomous machine and shifting blame from the automated device to the humans in the scenario. Further experiments with a standard pair of human-only trolley problems refine these results. While showing the high expectations even when no autonomous machine is involved, human bystanders are only blamed in the machine case. A third experiment explicitly aimed at responsibility for driverless cars confirms our findings about shifting blame in the case of autonomous machine agents. We conclude methodologically that both results point to the power of an experimental survey based approach to public participation to explore surprising assumptions and judgments in applied ethics. However, both results also support using caution when interpreting survey results in ethics, demonstrating the importance of qualitative data to provide further context for evaluating judgments revealed by surveys. On the ethics side, the result about shifting blame to humans interacting with autonomous machines suggests caution about the unintended consequences of intuitive principles requiring human responsibility.

Morality is serious yet it needs to be reconciled with the free play of alternatives that characterizes rational and ethical agency. Beginning with a sketch of the seriousness of morality modeled as a constraint, this paper introduces a technical conception of play as degrees of freedom. We consider two ways to apply game theory to ethics, rationalist and evolutionary game theory, contrasting the way they model moral constraint. Freedom in the rationalist account is problematic, subverting willful commitment. In the evolutionary account, freedom is also problematic, leading to an infinity of possible social norms with dubious normative force. While these two approaches complement each other, we argue that the evolutionary approach is superior on both theoretical and practical grounds.

A democratic ethics of biological technology must engage the public. This is not easy to do in a way that satisfies the demands of democratic ethics, or meets the pace of rapidly changing, complex technology. This paper describes a solution proposed by the University of British Columbia’s Norms Evolving in Response to Dilemmas interdisciplinary research group. The solution, the NERD web survey, has three distinct advantages over other methods: it is Deep—the survey provides deep data, particularly when compared to alternatives such as polls and focus groups; Cheap—our survey is cost effective, which is important for a truly democratic tool; and Improvable—the NERD survey is a work in progress, improvable by design.