In “Avoiding a Death Panel Redux,” Nicole Piemonte and Laura Hermer make the argument that the advance care planning consultation provision during the health care reform debate collapsed both because the language in the provision was deliberately misread and because some features of the language could in fact be misleading. We agree on both counts. We add that the cost‐effectiveness provisions of the bill make us face difficult decisions we as a nation would rather avoid, but can and must face (...) squarely and together. It is time for an honest national conversation about at least two issues concerning medical care near the end of life. First, talking about or planning a good death with your doctor or nurse will not make death happen sooner. The data show that better planning for a well‐managed terminal illness leads to longer life as well as better symptom control and less distress. Second, we need to quickly and directly confront the cost of end of life care in the United State, recognize the political consequences, and work with the broad middle to advance the common good. (shrink)

Although normative systems, or social laws, have proved to be a highly influential approach to coordination in multi-agent systems, the issue of compliance to such normative systems remains problematic. In all real systems, it is possible that some members of an agent population will not comply with the rules of a normative system, even if it is in their interests to do so. It is therefore important to consider the extent to which a normative system is robust, i.e., the extent (...) to which it remains effective even if some agents do not comply with it. We formalise and investigate three different notions of robustness and related decision problems. We begin by considering sets of agents whose compliance is necessary and/or sufficient to guarantee the effectiveness of a normative system; we then consider quantitative approaches to robustness, where we try to identify the proportion of an agent population that must comply in order to ensure success; and finally, we consider a more general approach, where we characterise the compliance conditions required for success as a logical formula. We furthermore introduce a logic for specifying properties of norm compliance in general and norm robustness in particular. (shrink)

According to standard linguistic theory, the meaning of an utterance is the product of conventional semantic meaning and general pragmatic rules on language use. We investigate how such a division of labor between semantics and pragmatics could evolve under general processes of selection and learning. We present a game‐theoretic model of the competition between types of language users, each endowed with certain lexical representations and a particular pragmatic disposition to act on them. Our model traces two evolutionary forces and their (...) interaction: (i) pressure toward communicative efficiency and (ii) transmission perturbations during the acquisition of linguistic knowledge. We illustrate the model based on a case study on scalar implicatures, which suggests that the relationship between underspecified semantics and pragmatic inference is one of coevolution. (shrink)

Qualitative Coalitional Games are a variant of coalitional games in which an agent's desires are represented as goals that are either satisfied or unsatisfied, and each choice available to a coalition is a set of goals, which would be jointly satisfied if the coalition made that choice. A coalition in a QCG will typically form in order to bring about a set of goals that will satisfy all members of the coalition. Our goal in this paper is to develop and (...) study logics for reasoning about QCGs. We begin by introducing a logic for reasoning about “static” QCGs, where participants play a single game, and we then introduce and study Temporal QCGs , i.e., games in which a sequence of QCGs is played. In order to represent and reason about such games, we introduce a linear time temporal logic of QCGs, called ℒ. We give a complete axiomatisation of ℒ, use it to investigate the properties of TQCGs, identify its expressive power, establish its complexity, characterise classes of TQGCs with formulas from our logical language, and use it to formulate several solution concepts for TQCGs. (shrink)

In the present study, we explore how reading habits influence the scanning and the construction of mental models in spatial reasoning. For instance, when participants are given a problem like A is to the left of B; B is to the left of C, what is the relation between A and C? They are assumed to construct the model: A B C. If reading habits influence the scanning process, then readers of French should inspect models from left to right, whereas (...) readers of Arabic should inspect them from right to left. The prediction following this analysis is that readers of French should be more inclined to produce “left” conclusions, whereas readers of Arabic should be more inclined to produce “right” conclusions. Furthermore, one may expect that readers of French show a greater ease in constructing models following a left-to-right direction than models following a right-to-left direction, whereas an opposite pattern might be expected for readers of Arabic. We tested these predictions in two experiments involving French and Yemeni participants. Experiment 1 investigated the formulation of conclusions from spatial premises, and Experiment 2, which was based on non-linguistic stimuli, examined the time required to construct mental models from left to right and from right to left. Our results show clear differences between the two groups. As expected, the French sample showed a strong left-to-right bias, but the Yemeni sample did not show the reverse bias. Results are discussed in terms of cultural influences and universal mechanisms. (shrink)

We propose strategic games wherein the strategies consist of players asking each other questions and answering those questions. We study simplifications of such games wherein two players simultaneously ask each other a question that the opponent is then obliged to answer. The motivation for our research is to model conversation including the dynamics of questions and answers, to provide new links between game theory and dynamic logics of information, and to exploit the dynamic/strategic structure that, we think, lies implicitly inside (...) epistemic models for epistemic languages, and to make that structure an explicit subject of logical study. Our main contributions are: the notion of a two-person question-answer game with information goals, the existence and computation of equilibria for these games, the correspondence with Bayesian games and their equilibria, and a connection between logic and game theory namely the existence of equilibria for positive goal formulae. (shrink)

A true lie is a lie that becomes true when announced. In a logic of announcements, where the announcing agent is not modelled, a true lie is a formula that becomes true when announced. We investigate true lies and other types of interaction between announced formulas, their preconditions and their postconditions, in the setting of Gerbrandy’s logic of believed announcements, wherein agents may have or obtain incorrect beliefs. Our results are on the satisfiability and validity of instantiations of these semantically (...) defined categories, on iterated announcements, including arbitrarily often iterated announcements, and on syntactic characterization. We close with results for iterated announcements in the logic of knowledge, and for lying as private announcements to different agents. Detailed examples illustrate our lying concepts. (shrink)

Admiration is thought to have essential functions for social interaction: it inspires us to learn from excellent models, to become better people, and to praise others and create social bonds. In intergroup relations, admiration for other groups leads to greater intergroup contact, cooperation, and help. Given these implications, it is surprising that admiration has only been researched by a handful of authors. In this article we review the literature, focusing on the definition of admiration, links to related emotions, measurement, antecedents, (...) and associated behaviors. We propose a conceptual model of admiration that highlights admiration’s function for approaching and emulating successful models, thus contributing to social learning at the interpersonal level and to cultural transmission at the group and societal level. (shrink)

Dynamic epistemic logic describes the possible information-changing actions available to individual agents, and their knowledge pre-and post conditions. For example, public announcement logic describes actions in the form of public, truthful announcements. However, little research so far has considered describing and analysing rational choice between such actions, i.e., predicting what rational self-interested agents actually will or should do. Since the outcome of information exchange ultimately depends on the actions chosen by all the agents in the system, and assuming that agents (...) have preferences over such outcomes, this is a game theoretic scenario. This is, in our opinion, an interesting general research direction, combining logic and game theory in the study of rational information exchange. In this article we take some first steps in this direction: we consider the case where available actions are public announcements, and where each agent has a (typically epistemic) goal formula that she would like to become true. What will each agent announce? The truth of the goal formula also depends on the announcements made by other agents. We analyse such public announcement games. (shrink)

This article investigates the claims and complexities involved in the platform-based economics of health and fitness apps. We examine a double-edged logic inscribed in these platforms, promising to offer personal solutions to medical problems while also contributing to the public good. On the one hand, online platforms serve as personalized data-driven services to their customers. On the other hand, they allegedly serve public interests, such as medical research or health education. In doing so, many apps employ a diffuse discourse, hinging (...) on terms like “sharing,” “open,” and “reuse” when they talk about data extraction and distribution. The analytical approach we adopt in this article is situated at the nexus of science and technology studies, political economy, and the sociology of health and illness. The analysis concentrates on two aspects: datafication and commodification. We apply these analytical categories to three specific platforms: 23andMe, PatientsLikeMe, and Parkinson mPower. The last section will connect these individual examples to the wider implications of health apps’ data flows, governance policies, and business models. Regulatory bodies commonly focus on the safety and security of apps, but pay scarce attention to health apps’ techno-economic governance. Who owns user-generated health data and who gets to benefit? We argue that it is important to reflect on the societal implications of health data markets. Governments have the duty to provide conceptual clarity in the grand narrative of transforming health care and health research. (shrink)

We add a limited but useful form of quantification to Coalition Logic, a popular formalism for reasoning about cooperation in game-like multi-agent systems. The basic constructs of Quantified Coalition Logic (QCL) allow us to express such properties as "every coalition satisfying property P can achieve φ" and "there exists a coalition C satisfying property P such that C can achieve φ". We give an axiomatisation of QCL, and show that while it is no more expressive than Coalition Logic, it is (...) nevertheless exponentially more succinct. The complexity of QCL model checking for symbolic and explicit state representations is shown to be no worse than that of Coalition Logic, and satisfiability for QCL is shown to be no worse than satisfiability for Coalition Logic. We illustrate the formalism by showing how to succinctly specify such social choice mechanisms as majority voting, which in Coalition Logic require specifications that are exponentially long in the number of agents. (shrink)

Voting Advice Applications (VAAs) are online tools designed to help citizens decide how to vote. They typically offer their users a representation of what is at stake in an election by matching user preferences on issues with those of parties or candidates. While the use of VAAs has boomed in recent years in both established and new democracies, this new phenomenon in the electoral landscape has received little attention from political theorists. The current academic debate is focused on epistemic aspects (...) of the question how a VAA can adequately represent electoral politics. We argue that conceptual and normative presuppositions at play in the background of the tool are at least as important. Even a well-developed VAA does not simply reflect what is at stake in the election by neutrally passing along information. Rather, it structures political information in a way that is informed by the developers’ presuppositions. Yet, these presuppositions remain hidden if we interpret the tool as a mirror that offers the user a reflection of him/herself situated within the political landscape. VAAs should therefore be understood as electoral dioramas, staged according to a contestable picture of politics. (shrink)

Social scientific reasoning (SSR) is essential to social science education and to a democratic society as a whole. Students are challenged to analyze and reason about social problems such as social inequality, crime, and poverty. However, students experience difficulties with SSR. This study addresses the research question: Which design principles can guide teachers in designing lessons that promote social scientific reasoning? In this design-based research, four social science teachers employed a conceptualization of SSR and its levels together with three initial (...) design principles to develop curriculum materials and activities. These design principles and curriculum materials were piloted in two secondary education classes (9th and 10th grades) and evaluated by four social science teachers, four social science teacher educators and 90 students. The study produced six design principles that can promote students’ SSR. In combination with the curriculum materials, those design principles can help develop teachers’ pedagogical content knowledge and guide the design of tasks and units that develop SSR. (shrink)

We define a multi-modal version of Computation Tree Logic (CTL) by extending the language with path quantifiers $E^\delta $ and $E^\delta $ where δ denotes one of finitely many dimensions, interpreted over Kripke structures with one total relation for each dimension. As expected, the logic is axiomatised by taking a copy of a CTL axiomatisation for each dimension. Completeness is proved by employing the completeness result for CTL to obtain a model along each dimension in turn. We also show that (...) the logic is decidable and that its satisfiability problem is no harder than the corresponding problem for CTL. We then demonstrate how Normative Systems can be conceived as a natural interpretation of such a multi-dimensional CTL logic. (shrink)

Plausibility models are Kripke models that agents use to reason about knowledge and belief, both of themselves and of each other. Such models are used to interpret the notions of conditional belief, degrees of belief, and safe belief. The logic of conditional belief contains that modality and also the knowledge modality, and similarly for the logic of degrees of belief and the logic of safe belief. With respect to these logics, plausibility models may contain too much information. A proper notion (...) of bisimulation is required that characterises them. We define that notion of bisimulation and prove the required characterisations: on the class of image-finite and preimage-finite models, two pointed Kripke models are modally equivalent in either of the three logics, if and only if they are bisimilar. As a result, the information content of such a model can be similarly expressed in the logic of conditional belief, or the logic of degrees of belief, or that of safe belief. This, we found a surprising result. Still, that does not mean that the logics are equally expressive: the logics of conditional and degrees of belief are incomparable, the logics of degrees of belief and safe belief are incomparable, while the logic of safe belief is more expressive than the logic of conditional belief. In view of the result on bisimulation characterisation, this is an equally surprising result. We hope our insights may contribute to the growing community of formal epistemology and on the relation between qualitative and quantitative modelling. (shrink)

The European Union Commission’s whitepaper on Artificial Intelligence proposes shaping the emerging AI market so that it better reflects common European values. It is a master plan that builds upon the EU AI High-Level Expert Group guidelines. This article reviews the masterplan, from a culture cycle perspective, to reflect on its potential clashes with current societal, technical, and methodological constraints. We identify two main obstacles in the implementation of this plan: the lack of a coherent EU vision to drive future (...) decision-making processes at state and local levels and the lack of methods to support a sustainable diffusion of AI in our society. The lack of a coherent vision stems from not considering societal differences across the EU member states. We suggest that these differences may lead to a fractured market and an AI crisis in which different members of the EU will adopt nation-centric strategies to exploit AI, thus preventing the development of a frictionless market as envisaged by the EU. Moreover, the Commission aims at changing the AI development culture proposing a human-centred and safety-first perspective that is not supported by methodological advancements, thus taking the risks of unforeseen social and societal impacts of AI. We discuss potential societal, technical, and methodological gaps that should be filled to avoid the risks of developing AI systems at the expense of society. Our analysis results in the recommendation that the EU regulators and policymakers consider how to complement the EC programme with rules and compensatory mechanisms to avoid market fragmentation due to local and global ambitions. Moreover, regulators should go beyond the human-centred approach establishing a research agenda seeking answers to the technical and methodological open questions regarding the development and assessment of human-AI co-action aiming for a sustainable AI diffusion in the society. (shrink)

While many public health threats are now widely appreciated by the public, the risks from asbestos exposure remain poorly understood, even in high-risk groups. This article makes the case that asbestos exposure is an important, ongoing global health threat, and argues for greater policy efforts to raise awareness of this threat. It also proposes the extension of asbestos bans to developing countries and increased public subsidies for asbestos testing and abatement.

Being part of the RoboCup initiative, the RoboCup@Home league targets the development and deployment of autonomous service and assistive robot technology being essential for future personal domestic applications. The domain of domestic service and assistive robotics implicates a wide range of possible problems. The primary reasons for this include the large amount of uncertainty in the dynamic and non-standardized environments of the real world, and the related human interaction. Furthermore, the application orientation requires a large effort towards high level integration (...) combined with a demand for general robustness of the systems. This article details the need for interdisciplinary community effort to iteratively identify related problems, to define benchmarks, to test and, finally, to solve the problems. The concepts and the implementation of the RoboCup@Home initiative as a combination of scientific exchange and competition is presented as an effi cient method to accelerate and focus technological and scientific progress in the domain of domestic service robots. Finally, the progress in terms of performance increase in the benchmarks and technological advancements is evaluated and discussed. Keywords: Domestic Service Robotics, Application, Uncertainty, Benchmark, Competition, Human–Robot Interaction, RoboCup@Home. (shrink)

As one approach to examining the way ethical decisions are made, we asked experts and novices to review a set of scenarios that depict some important ethical tensions in research. The method employed was “protocol analysis,” a talk-aloud technique pioneered by cognitive scientists for the analysis of expert performance. The participants were asked to verbalize their normally unexpressed thought processes as they responded to the scenarios, and to make recommendations for courses of action. We found that experts spent more time (...) working through the decision-making process than novices and also raised substantially more concerns than novices. Differences also exist among the three groups of experts. (shrink)

Although most consumers are positive about socially responsible companies, in order to benefit from CSR efforts, effective and clear CSR communication is important. However, due to the constantly rising profusion of eco-labels, based on either own claims from the organization or claims made by an external third party, consumers may encounter difficulties in identifying truly responsible firms, which could result in less effective CSR initiatives, even for those responsible firms. Therefore, building on attribution theory, this study seeks to identify how (...) uncertified internal CSR claims and external third-party CSR labels should be used in order to deter greenwashing and increase positive consumer evaluations. Within a 3 × 2 design, respondents are exposed to different coffee product packages measuring their attitude toward the brand, corporate credibility, purchase intention, and scent perception, as well as perceived attributional CSR motives. Overall, findings indicate that especially an external CSR label affects consumer responses toward the firm. Moreover, perceived CSR motives serve as a mediator between an external CSR label and corporate credibility and brand attitude, respectively. These findings warrant further consideration of introducing an external multilevel rating systems by governmental law. (shrink)

This study aimed to explore the understanding of and attitudes towards academic ethics of first-year students at a South African University using a paper-based survey that yielded 3611 respondents. A degree of confusion and ambivalence regarding academic ethical issues exists. The relative wealth of respondents also appears to influence the understanding of and attitudes to academic ethics. Millennial students have a tendency to disregard ownership of knowledge. There is a need for instruction in academic ethics to instil an awareness of (...) integrity in academic pursuit, coupled with an understanding of the world views of millennials. (shrink)

Trevena and Miller provide further evidence that readiness potentials occur in the brain prior to the time that participants claim to have initiated a voluntary movement, a contention originally forwarded by Libet, Gleason, Wright, and Pearl . In their examination of this issue, though, aspects of their data lead them to question whether their measurement of the initiation of a voluntary movement was accurate. The current article addresses this concern by providing a direct analysis of biases in this task. This (...) was done by asking participants to make subjective timing decisions regarding a stimulus that could be measured objectively. Our findings suggest that their timing task was indeed biased such that participants' tend to report events as happening approximately 70 ms later than they actually happened. Implications for the original Libet et al. claims are discussed. (shrink)