Sven Ove Hansson

This article is an attempt at a systematic account of decision making under greater uncertainty than what traditional, mathematically oriented decision theory can cope with. Four components of great uncertainty are distinguished: (1) the identity of the options is not well determined (uncertainty of demarcation) ; (2) the consequences of at least some option are unknown (uncertainty of consequences); (3) it is not clear whether information obtained from others, such as experts, can be relied on (uncertainty of reliance); and (4) the values relevant for the decision are not determined with sufficient precision (uncertainty of values). Some possible strategy types are proposed for each of these components. Decisions related to environmental issues are used to illustrate the proposals

This article is an attempt at a systematic account of decision making under greater uncertainty than what traditional, mathematically oriented decision theory can cope with. Four components of great uncertainty are distinguished: (1) the identity of the options is not well determined (uncertainty of demarcation) ; (2) the consequences of at least some option are unknown (uncertainty of consequences); (3) it is not clear whether information obtained from others, such as experts, can be relied on (uncertainty of reliance); and (4) the values relevant for the decision are not determined with sufficient precision (uncertainty of values). Some possible strategy types are proposed for each of these components. Decisions related to environmental issues are used to illustrate the proposals.

The precautionary principle has often been described as an extreme principle that neglects science and stifles innovation. However, such an interpretation has no support in the official definitions of the principle that have been adopted by the European Union and by the signatories of international treaties on environmental protection. In these documents, the precautionary principle is a guideline specifying how to deal with certain types of scientific uncertainty. In this contribution, this approach to the precautionary principle is explicated with the help of concepts from the philosophy of science and comparisons with general notions of practical rationality. Three major problems in its application are discussed, and it is concluded that to serve its purpose, the precautionary principle has to (1) be combined with other decision principles in cases with competing top priorities, (2) be based on the current state of science, which requires procedures for scientific updates, and (3) exclude potential dangers whose plausibility is too low to trigger meaningful precautionary action.

Clinical Ethics, Ahead of Print. It could hardly be denied that healthcare should be patient-centred. However, some of the practices commonly described as patient-centred care may have ethically problematic consequences. This article identifies and discusses twelve ethical conflicts that may arise in the application of person-centred care. The conflicts concern e.g. privacy, autonomous decision-making, safeguarding medical quality, and maintaining professional egalitarianism as well as equality in care. Awareness of these potential conflicts can be helpful in finding the best way to ensure that healthcare has its focus on the needs and interests of the patients. Patient-centred care may have to take different forms, depending of the nature of the disease, the patient’s life situation, and the economic, organizational and technological resources available to the healthcare unit.

What purpose can be served by empirically unsubstantiated speculation in ethics? In answering that question, we need to distinguish between the major branches of ethics. In foundational moral philosophy, the use of speculative examples is warranted to the extent that ethical principles and theories are assumed to be applicable even under the extreme circumstances referred to in these examples. Such an assumption is in need of justification, and it cannot just be taken for granted. In applied ethics, the use of unrealistic scenarios is more difficult to justify. It can be positively harmful if it diverts our attention from more urgent issues. Neuroethics is one of the areas of applied ethics where speculative scenarios have taken up much of the attention that could instead have been devoted to problems that are relevant for the treatment and care of patients. Speculative ethics has often been defended with mere possibility arguments that may at first hand seem difficult to refute. It is shown with examples how such claims can be defeated with a combination of science and argumentation analysis.

It has been much debated whether epistemic relativism in academia, for instance in the form of social constructivism, the strong programme, deconstructionism, and postmodernism, has paved the way for the recent upsurge in science denial, in particular climate science denial. In order to provide an empirical basis for this discussion, an extensive search of the social science literature was performed. It showed that in the 1990s, climate science was a popular target among academic epistemic relativists. In particular, many STS scholars used it as an allegedly clear example of claims by natural scientists that should be treated as mere social constructions, rather than as reports on the actual state of the natural world. A few connections between social constructivists and corporate science denialism were also uncovered, but the extent of such connections could not be determined. With few exceptions, the stream of criticism of climate science from academic relativists has dwindled since the 1990s. One reason for this seems to be that the contrarian position lost its attraction when it became associated with corporate and right-wing propagandists.

After a review of previous uses of the term “pseudotechnology”, a definition is proposed: “A pseudotechnology is an alleged technology that is irreparably dysfunctional for its intended purpose since it is based on construction principles that cannot be made to work”. The relationship between pseudotechnology and pseudoscience is discussed, and so is the relationship between pseudotechnology and the much weaker concept of technological malfunction. An explanation is offered of why pseudotechnology is much more seldom referred to than pseudoscience: dysfunctional technology usually reveals itself when put to use, whereas dysfunctional science tends to be more difficult to disclose.

A new formal model of belief dynamics is proposed, in which the epistemic agent has both probabilistic beliefs and full beliefs. The agent has full belief in a proposition if and only if she considers the probability that it is false to be so close to zero that she chooses to disregard that probability. She treats such a proposition as having the probability 1, but, importantly, she is still willing and able to revise that probability assignment if she receives information that gives her sufficient reasons to do so. Such a proposition is undoubted, but not undoubtable. In the formal model it is assigned a probability 1 − δ, where δ is an infinitesimal number. The proposed model employs probabilistic belief states that contain several underlying probability functions representing alternative probabilistic states of the world. Furthermore, a distinction is made between update and revision, in the same way as in the literature on belief change. The formal properties of the model are investigated, including properties relevant for learning from experience. The set of propositions whose probabilities are infinitesimally close to 1 forms a belief set. Operations that change the probabilistic belief state give rise to changes in this belief set, which have much in common with traditional operations of belief change.

Farmers all over the world perform experiments, and have done so since long before modern experimental science and its recognized forerunners. There is a rich anthropological literature on these experiments, but the philosophical issues that they give rise to have not received much attention. Based on the anthropological literature, this study investigates methodological and philosophical issues pertaining to farmers’ experiments, including the choice of interventions to be tested, the planning of experiments, and the use of control fields and other means to deal with confounding factors. Farmers’ experiments have some advantages over the field trials of agricultural scientists, but also some comparative disadvantages. The two experimental traditions are complementary, and neither of them can replace the other. Several aspects of farmers’ experiments are shown to have a direct bearing on central topics in the philosophy of science.

Farmers all over the world perform experiments, and have done so since long before modern experimental science and its recognized forerunners. There is a rich anthropological literature on these experiments, but the philosophical issues that they give rise to have not received much attention. Based on the anthropological literature, this study investigates methodological and philosophical issues pertaining to farmers’ experiments, including the choice of interventions to be tested, the planning of experiments, and the use of control fields and other means to deal with confounding factors. Farmers’ experiments have some advantages over the field trials of agricultural scientists, but also some comparative disadvantages. The two experimental traditions are complementary, and neither of them can replace the other. Several aspects of farmers’ experiments are shown to have a direct bearing on central topics in the philosophy of science.

Systems of urban transportation are largely shaped through planning practices. In transport economics, the benefits of infrastructure investments consist mainly of travel time savings calculated using monetary values of time. The economic interpretation of the value of travel time has significantly shaped our urban environment and transportation schemes. However, there is often an underlying assumption of transferability between time and money, which arguably does not sufficiently take into account the specific features of time. In this paper, we analyze the various properties of time as an economic resource using findings in behavioral economics and psychology. Due to limitations in the standard model, it is proposed that an alternative model value should be investigated in which time rather than money is the primary carrier of and the basic features of such a model are outlined. An improved understanding the nature of time as a source of utility puts us in a better position to determine what aspects of time matter. Additionally, the analysis can be applied to further develop modeling where value of time plays a significant role; such as new models for the planning of urban transport.

Farmers all over the world perform experiments, and have done so since long before modern experimental science and its recognized forerunners. There is a rich anthropological literature on these experiments, but the philosophical issues that they give rise to have not received much attention. Based on the anthropological literature, this study investigates methodological and philosophical issues pertaining to farmers’ experiments, including the choice of interventions to be tested, the planning of experiments, and the use of control fields and other means to deal with confounding factors. Farmers’ experiments have some advantages over the field trials of agricultural scientists, but also some comparative disadvantages. The two experimental traditions are complementary, and neither of them can replace the other. Several aspects of farmers’ experiments are shown to have a direct bearing on central topics in the philosophy of science.

In spite of their practical importance, the connections between technology and mathematics have not received much scholarly attention. This article begins by outlining how the technology–mathematics relationship has developed, from the use of simple aide-mémoires for counting and arithmetic, via the use of mathematics in weaving, building and other trades, and the introduction of calculus to solve technological problems, to the modern use of computers to solve both technological and mathematical problems. Three important philosophical issues emerge from this historical résumé: how mathematical knowledge depends on technology, the definition of the hybrid concept of a computation, and the usefulness of mathematics in technology. Each of these issues is briefly discussed, and it is shown that in order to analyze them, we need to combine tools and ideas from both the philosophy of technology and the philosophy of mathematics. In conclusion, it is argued that much more of interest can be found in the historically and philosophically unexplored terrains of the technology–mathematics relationship.