A Logical Theory of Localization

A central problem in applying logical knowledge representation formalisms to traditional robotics is that the treatment of belief change is categorical in the former, while probabilistic in the latter. A typical example is the fundamental capability of localization where a robot uses its noisy sensors to situate itself in a dynamic world. Domain designers are then left with the rather unfortunate task of abstracting probabilistic sensors in terms of categorical ones, or more drastically, completely abandoning the inner workings of sensors to black-box probabilistic tools and then interpreting their outputs in an abstract way. Building on a first-principles approach by Bacchus, Halpern and Levesque, and a recent continuous extension to it by Belle and Levesque, we provide an axiomatization that shows how localization can be realized wrt a basic action theory, thereby demonstrating how such capabilities can be enabled in a single logical framework. We then show how the framework can also enable localization for multiple agents, where an agent can appeal to the sensing already performed by another agent and the knowledge of their relative positions to localize itself.     

A Problem with Societal Desirability as a Component of Responsible Research and Innovation: the “If we don’t somebody else will” Argument

The implementation of Responsible Research and Innovation (RRI) is not without its challenges, and one of these is raised when societal desirability is included amongst the RRI principles. We will argue that societal desirability is problematic even though it appears to fit well with the overall ideal. This discord occurs partly because the idea of societal desirability is inherently ambiguous, but more importantly because its scope is unclear. This paper asks: is societal desirability in the spirit of RRI? On von Schomberg’s account, it seems clear that it is, but societal desirability can easily clash with what is ethically permissible; for example, when what is desirable in a particular society is bad for the global community. If that society chose not to do what was desirable for it, the world would be better off than if they did it. Yet our concern here is with a more complex situation, where there is a clash with ethical acceptability, but where the world would not be better off if the society chose not do what was societally desirable for itself. This is the situation where it is argued that someone else will do it if we do not. The first section of the paper gives an outline of what we take technology to be, and the second is a discussion of which criteria should be the basis for choosing research and innovation projects. This will draw on the account of technology outlined in the first section. This will be followed by an examination of a common argument, “If we don’t do it, others will”. This argument is important because it appears to justify acting in morally dubious ways. Finally, it will be argued that societal desirability gives support to the “If we don’t…” argument and that this raises some difficulties for RRI.     

Nature and role of traditional forms of counselling in Zambia: a case of Lusaka province

The aim of this study was to determine the nature and role of traditional forms of counselling and the scope of common problems presented to traditional counsellors in Lusaka province. It used a qualitative research methodology and deployed a holistic single-case study design with multiple embedded units of analysis. The sample consisted of 80 adult participants and one focus group interview with 8 discussants; and it was selected based on the purposive sampling method and snowball technique. Data collection was elicited through structured individual interviews and semi-structured group interview. The study revealed that traditional forms of counselling are rooted in traditional systems of knowledge and sociocultural values, customs, and practices; and they are essentially community-based and multicultural in nature.     

Potential for Bias in the Context of Neuroethics

Neuroscience research, like all science, is vulnerable to the influence of extraneous values in the practice of research, whether in research design or the selection, analysis and interpretation of data. This is particularly problematic for research into the biological mechanisms that underlie behavior, and especially the neurobiological underpinnings of moral development and ethical reasoning, decision-making and behavior, and the other elements of what is often called the neuroscience of ethics. The problem arises because neuroscientists, like most everyone, bring to their work assumptions, preconceptions and values and other sources of potentially inappropriate bias of which they may be unaware. It is important that the training of neuroscientists, and research practice itself, include open and in-depth discussion and examination of the assumptions that underlie research. Further, policy makers, journalists, and the general public, that is, the consumers of neuroscience research findings (and by extension, neurotechnologies) should be made aware of the limitations as well as the strengths of the science, the evolving nature of scientific understanding, and the often invisible values inherent in science.     

Christian Leadership and Religiosity Reexamined: The Evidence from College Student Leaders

This article assesses the impact of religiosity on Christian leadership orientations. The theoretical model is taken from the study of Shee, Ji, and Boyatt (2002), which presupposes that quest religiosity is inversely related to the structured, human resource, political, and symbolic leadership frames, while intrinsic and extrinsic religiosity are positively tied with them. The analysis is based on the 116 college student leaders in 12 Protestant colleges and universities. According to the data, the patterns of linkage between religious orientations and leadership frames lend partial support for the hypothesis. Intrinsic religiosity tends to foster structural and symbolic leadership, but quest religiosity promotes political leadership. The human resource leadership has turned out to be independent from religiosity, and extrinsic religiosity is found to have little to do with Christian leadership orientations.     

Editors’ Overview Perspectives on Teaching Social Responsibility to Students in Science and Engineering

Global society is facing formidable current and future problems that threaten the prospects for justice and peace, sustainability, and the well-being of humanity both now and in the future. Many of these problems are related to science and technology and to how they function in the world. If the social responsibility of scientists and engineers implies a duty to safeguard or promote a peaceful, just and sustainable world society, then science and engineering education should empower students to fulfil this responsibility. The contributions to this special issue present European examples of teaching social responsibility to students in science and engineering, and provide examples and discussion of how this teaching can be promoted, and of obstacles that are encountered. Speaking generally, education aimed at preparing future scientists and engineers for social responsibility is presently very limited and seemingly insufficient in view of the enormous ethical and social problems that are associated with current science and technology. Although many social, political and professional organisations have expressed the need for the provision of teaching for social responsibility, important and persistent barriers stand in the way of its sustained development. What is needed are both bottom-up teaching initiatives from individuals or groups of academic teachers, and top-down support to secure appropriate embedding in the university. Often the latter is lacking or inadequate. Educational policies at the national or international level, such as the Bologna agreements in Europe, can be an opportunity for introducing teaching for social responsibility. However, frequently no or only limited positive effect of such policies can be discerned. Existing accreditation and evaluation mechanisms do not guarantee appropriate attention to teaching for social responsibility, because, in their current form, they provide no guarantee that the curricula pay sufficient attention to teaching goals that are desirable for society as a whole.     

Community responses to a suicidal crisis: implications for suicide prevention

We conducted a cross‐sectional, random‐digit‐dial survey to evaluate public responses to a hypothetical question: “If someone you knew was suicidal, what would you do first?” Younger people were more likely to call a suicide hotline, and less likely to go to an emergency room (ER) or call 911; immigrants (in the U.S. <15 years) were more likely to call 911, and less likely to call a suicide hotline; African Americans were more likely to go to the ER and call 911; Hispanics were more likely to call 911 but less likely to call a suicide hotline. These results suggest that public messages about hotlines and emergency options for suicidal patients need to be tailored to relevant population characteristics including age, education, ethnicity, and language preferences.     

Editors’ Overview: Topics in the Responsible Management of Research Data

Responsible data management is a multifaceted topic involving standards within the research community regarding research design and the sharing of data as well as the collection, selection, analysis and interpretation of data. Transparency in the manipulation of images is increasingly important in order to avoid misrepresentation of research findings, and research oversight is also critical in helping to assure the integrity of the research process. Intellectual property issues both unite and divide academe and industry in their approaches to data management. Central to the realization and promulgation of responsible data management is clear and careful communication of standards and expectations within the research community to trainees as well as among colleagues. These topics are examined and explored in depth in a special issue of Science and Engineering Ethics on responsible data management.