A long-standing position in philosophy, law, and theology is that a person can be held morally responsible for an action only if they had the freedom to choose and to act otherwise. Thus, many philosophers consider freedom to be a necessary condition for moral responsibility. However, empirical findings suggest that this assumption might not be in line with common sense thinking. For example, in a recent study we used surveys to show that – counter to positions held by many philosophers (...) – lay people consider actions to be free when they are spontaneous rather than being based on reasons. In contrast, responsibility is often considered to require that someone has thought about the alternative options. In this study we use an online survey to directly test to which degree lay judgements of freedom and responsibility match. Specifically, we test whether manipulations of deliberation affect freedom and responsibility judgements in the same way. Furthermore, we also test the dependency of these judgements on a person’s belief that their decision had consequences for their personal life. We find that people are generally considered to be more responsible for their actions than they are considered free, across most of the conditions tested. Furthermore, we found that deliberation had an opposite effect on freedom and responsibility judgements. People were considered more free when they acted spontaneously, whereas they were considered more responsible when they deliberated about their actions. These results seem to suggest that deliberating about reasons is crucially important for the lay concept of responsibility, while it is not obviously …. (shrink)

Exploring the Illusion of Free Will and Moral Responsibility is an edited collection of new essays by an internationally recognized line-up of contributors. It is aimed at readers who wish to explore the philosophical and scientific arguments for free will skepticism and their implications.

New brain imaging technology has emerged that might make it possible to read a person's thoughts directly from their brain activity. This novel approach is referred to as “brain reading” or the “decoding of mental states.” This article provides a general outline of the field and discusses its limitations, potential applications, and also certain ethical issues that brain reading raises. The measurement of brain activity and brain structure has made considerable progress in recent decades. The mapping from brain activity patterns (...) to thoughts is learned for each specific subject using brute force statistical pattern recognition techniques. It discusses the degree to which polygraphy and brain-based lie detection can be manipulated by trained subjects. A future application of brain reading technology, “neuromarketing,” has received tremendous interest and there are repeated attempts to optimize marketing campaigns by adding brain-based sources of information. (shrink)

The diversified methodology and expertise of interdisciplinary research teams provide the opportunity to overcome the limited perspectives of individual disciplines. This is particularly true at the interface of Robotics, Neuroscience, and Psychology as the three fields have quite different perspectives and approaches to offer. Nonetheless, aligning backgrounds and interdisciplinary expectations can present challenges due to varied research cultures and practices. Overcoming these challenges stands at the beginning of each productive collaboration and thus is a mandatory step in cognitive neurorobotics. In (...) this article, we share eight lessons that we learned from our ongoing interdisciplinary project on human-robot and robot-robot interaction in social settings. These lessons provide practical advice for scientists initiating interdisciplinary research endeavors. Our advice can help to avoid early problems and deal with differences between research fields, prepare for and anticipate challenges, align project expectations, and speed up research progress, thus promoting effective interdisciplinary research across Robotics, Neuroscience, and Psychology. (shrink)