The importance of meta-ethics in engineering education

Our shared moral framework is negotiated as part of the social contract. Some elements of that framework are established (tell the truth under oath), but other elements lack an overlapping consensus (just when can an individual lie to protect his or her privacy?). The tidy bits of our accepted moral framework have been codified, becoming the subject of legal rather than ethical consideration. Those elements remaining in the realm of ethics seem fragmented and inconsistent.Yet, our engineering students will need to navigate the broken ground of this complex moral landscape. A minimalist approach would leave our students with formulated dogma—principles of right and wrong such as the National Society for Professional Engineers (NSPE) Code of Ethics for Engineers—but without any insight into the genesis of these principles. A slightly deeper, micro-ethics approach would teach our students to solve ethical problems by applying heuristics—giving our students a rational process to manipulate ethical dilemmas using the same principles simply referenced a priori by dogma. A macro-ethics approach—helping students to inductively construct a posteriori principles from case studies—goes beyond the simple statement or manipulation of principles, but falls short of linking personal moral principles to the larger, social context. Ultimately, it is this social context that requires both the application of ethical principles, and the negotiation of moral values—from an understanding of meta-ethics.The approaches to engineering ethics instruction (dogma, heuristics, case studies, and meta-ethics) can be associated with stages of moral development. If we leave our students with only a dogmatic reaction to ethical dilemmas, they will be dependent on the ethical decisions of others (a denial of their fundamental potential for moral autonomy). Heuristics offers a tool to deal independently with moral questions, but a tool that too frequently reduces to casuistry when rigidly applied to “simplified” dilemmas. Case studies, while providing a context for engineering ethics, can encourage the premature analysis of specific moral conduct rather than the development of broad moral principles—stifling our students’ facility with meta-ethics. Clearly, if a moral sense is developmental, ethics instruction should lead our students from lower to higher stages of moral development.     

Towards the feeling of emergence

Emergence is a multi-dimensional notion; the meanings it has acquired span the mythopoetic to the scientific, especially as found in complex systems. Examples of emergence in Navaho and Egyptian imagery underscore its diverse cultural origins and applications as well as suggesting an underlying archetypal quality to the core concept. A brief overview of the use of this term in science starting in the 17th century helps to locate the roots of modern emergent views in the philosophy of Leibniz. Jung's own use of early systems approaches was a part of his formulations of a 'third' position associated with the transcendent function. As this paper was delivered at the 50th anniversary conference of the Journal of Analytical Psychology, aspects of the emergence of the Journal within the contents of the first issue are explored. Attention is drawn to several articles, especially a case of brief child therapy done by Robert Moody. His approach to working his case is strikingly modern and vividly demonstrates principles of emergence within the clinical setting. Following this there is a discussion of some neuroscientific research on neural body maps, pointing to the experience of feelings as an emergent process. It is suggested that feelings derive from phase transitions in the brain's body mapping states. A reconsideration of a seeming impasse in the case described by Moody leads instead to a view of the initial phase of treatment as a pre-critical period. Research findings on mirror neurons are presented in terms of the feeling of empathy. Subjective feelings are then shown to be associated with moments of emergence, especially surprise and curiosity, exemplified by a case from the author's practice.     

Improving student bus-riding behavior through a whole-school intervention

We describe a multicomponent intervention to improve bus-riding behavior of students attending an urban public school. The intervention was developed with technical assistance consultation that emphasized collaboration among students, school personnel, and bus drivers. The primary intervention procedures were identifying appropriate behaviors during transportation ("bus rules"), training bus drivers to deliver positive reinforcement, and rewarding student performance through a weekly school-based lottery. Disruptive bus behaviors, as measured by discipline referrals and suspensions, decreased with intervention relative to baseline phases in an ABAB reversal design. These positive results were maintained over the long term, with school personnel assuming responsibility for intervention in the absence of ongoing consultation.     

Generalized concepts of syntactically and semantically trivial differences and instant-based and period-based time ontologies

It is argued that there are interesting cases in which two axiomatic systems syntactically and semantically non-trivially different in the standard sense are rather to be classified as only trivially different. For a strict comparison of the systems of such a kind the generalized concepts of syntactically and semantically trivial differences are formally defined. As an example, it is shown that an instant-based time system and a period-based time system sketched in the paper are just trivially different in the defined sense in spite of the fact that, contrary to Quine's famous requirement, the variables of the two systems can never range over the elements of one and the same basic set. What is the same in relation to both systems is time topology.     

Ultimate Questions of Science and the Theory of System Relations

Summary  Whenever an adequate theory is found in science, we will still be left with two questions: why this theory rather than some other theory, and how should this theory be interpreted? I argue that these questions can be answered by a theory of system relations. The basic idea is that fundamental characteristics of systems, viz. those arising from the general systemic nature of those systems, cannot be comprehended with the aid of discipline-specific methods. The systems theory required should commence with an analysis of the qualitatively different relations possible between systems, because it is precisely the nature of those relations that determines the basic structures of systems. That the theory of the fundamental system relations and their ontological and epistemological implications is indeed able to provide the answers sought is demonstrated in theoretical physics and Plessner’s analysis of the basic structures of plant, animal and human being.     

Emotion and Pain: A Functional Cerebral Systems Integration

Emotion and pain are psychological constructs that have received extensive attention in neuropsychological research. However, neuropsychological models of emotional processing have made more progress in describing how brain regions interact to process emotion. Theories of emotional processing can describe inter-hemispheric and intra-hemispheric interactions during emotional processing. Due to similarities between emotion and pain, it is thought that emotional models can be applied to pain. The following review examines the neuropsychology of emotion and pain using a functional cerebral systems approach. Specific comparisons are made between pain and anger. Attention is given to differences in cerebral function and physiology that may contribute to the processing of emotion and pain. Suggestions for future research in emotion and pain are given.     

Estrogen modulates place learning through estrogen receptors in the hippocampus

Moderate elevations in circulating estradiol enhance learning in tasks that tap place learning strategies such as those requiring the use of extramaze cues. Use of place learning strategies is particularly impaired by damage to the hippocampus, a structure shown to be sensitive to estrogen treatments. We have shown that direct estrogen infusions into the dorsal hippocampus, and not the dorsolateral striatum, enhance place learning, suggesting that the hippocampus may be an important modulatory site for the effects of estrogen on place learning. The current experiment tested whether the hippocampus is indeed a critical site of estrogen modulation through classical estrogen receptors. Young adult female Sprague-Dawley rats were ovariectomized for 21 days and given systemic injections (0.1 ml) of sesame oil (OIL) or 10 microg of 17beta-estradiol-benzoate (E2), 48 and 24 h before being trained on a place task. Twenty-four hours prior to the first systemic injection, separate groups of rats received bilateral hippocampal implants of either the antiestrogen ICI 182,780 (ICI) or cholesterol vehicle. Implants were maintained until and throughout training. Intrahippocampal ICI reversed the enhancement in place learning seen with systemic E2 treatment. Unexpectedly, intrahippocampal ICI in OIL-treated rats also enhanced place learning. These data suggest that ICI may have some mixed agonist and antagonist effects in the hippocampus and that estrogen enhances place learning through activation of estrogen receptors located in the hippocampus.     

Visual interaction: models, systems, prototypes. The Pictorial Computing Laboratory at the University of Rome “La Sapienza”

This paper reports on the research activities performed by the Pictorial Computing Laboratory at the University of Rome, La Sapienza, during the last 5 years. Such work, essentially is based on the study of humancomputer interaction, spans from metamodels of interaction down to prototypes of interactive systems for both synchronous multimedia communication and groupwork, annotation systems for web pages, also encompassing theoretical and practical issues of visual languages and environments also including pattern recognition algorithms. Some applications are also considered like e-learning and collaborative work.