Nonostante la pervasività della nozione di servizio e le recenti proposte per una Scienza dei Servizi unificata, esistono ancora parecchie inconsistenze tra le varie definizioni di servizio in uso nelle diverse discipline (e spesso anche all'interno della stessa disciplina). In particolare, a dispetto del fatto che l'obiettivo generale di questa scienza dovrebbe essere di permettere a persone e calcolatori di interagire agevolmente con i servizi nella vita di tutti i giorni, molti approcci alla modellazione dei servizi in informatica (specialmente quelli (...) centrati sui servizi web) sembrano focalizzarsi principalmente sugli aspetti connessi al flusso dati, per cui i servizi sono considerati come scatole nere che trasformano un ingresso in un’uscita, e che interoperano tra loro secondo modalità predefinite. Questo modello a scatola nera ha sicuramente i suoi vantaggi ma, stando a quanto dicono Petrie e Bussler, sembra funzionare bene sono all'interno di contesti omogenei, i cosiddetti parchi di servizi, dove l'interoperabilità è tecnicamente possibile solo perché i contenuti e le modalità di erogazione di ogni servizio sono predefiniti e condivisi da tutti i soggetti coinvolti. (shrink)

Nonostante la pervasività della nozione di servizio e le recenti proposte per una Scienza dei Servizi unificata, esistono ancora parecchie inconsistenze tra le varie definizioni di servizio in uso nelle diverse discipline (e spesso anche all'interno della stessa disciplina). In particolare, a dispetto del fatto che l'obiettivo generale di questa scienza dovrebbe essere di permettere a persone e calcolatori di interagire agevolmente con i servizi nella vita di tutti i giorni, molti approcci alla modellazione dei servizi in informatica (specialmente quelli (...) centrati sui servizi web) sembrano focalizzarsi principalmente sugli aspetti connessi al flusso dati, per cui i servizi sono considerati come scatole nere che trasformano un ingresso in un’uscita, e che interoperano tra loro secondo modalità predefinite. Questo modello a scatola nera ha sicuramente i suoi vantaggi ma, stando a quanto dicono Petrie e Bussler, sembra funzionare bene sono all'interno di contesti omogenei, i cosiddetti parchi di servizi, dove l'interoperabilità è tecnicamente possibile solo perché i contenuti e le modalità di erogazione di ogni servizio sono predefiniti e condivisi da tutti i soggetti coinvolti. (shrink)

In this paper we investigate how the dynamic nature of words’ meanings plays a role in a philosophical theory of meaning. For ‘dynamic nature’ we intend the characteristic of being flexible, of changing according to many factors (speakers, contexts, and more). We consider meaning as something that gradually takes shape from the dynamic processes of communication. Accordingly, we present a draft of a theory of meaning that, on the one hand, describes how a private meaning is formed as a mental (...) state of individual agents during a lifetime of experiences, and, on the other hand, shows how a public meaning emerges from the interaction of agents. When communicating with each other, agents need to converge on a shared meaning of the words used, by means of a negotiation process. A public meaning is the abstract product of many of these processes while, at the same time, the private meanings are continually reshaped by each negotiation. Exploring this dynamics, we have been looking at the work done by computer scientists dealing with problems of heterogeneity of sources of information. We argue that a suitable solution for both disciplines lies in a systematic characterization of the processes of meaning negotiation. (shrink)

dolce, the first top-level ontology to be axiomatized, has remained stable for twenty years and today is broadly used in a variety of domains. dolce is inspired by cognitive and linguistic considerations and aims to model a commonsense view of reality, like the one human beings exploit in everyday life in areas as diverse as socio-technical systems, manufacturing, financial transactions and cultural heritage. dolce clearly lists the ontological choices it is based upon, relies on philosophical principles, is richly formalized, and (...) is built according to well-established ontological methodologies, e.g. OntoClean. Because of these features, it has inspired most of the existing top-level ontologies and has been used to develop or improve standards and public domain resources. Being a foundational ontology, dolce is not directly concerned with domain knowledge. Its purpose is to provide the general categories and relations needed to give a coherent view of reality, to integrate domain knowledge, and to mediate across domains. In these 20 years dolce has shown that applied ontologies can be stable and that interoperability across reference and domain ontologies is a reality. This paper briefly introduces the ontology and shows how to use it on a few modeling cases. (shrink)

Primary goal of this paper is to show that counterfactual reasoning, as many other kinds of common sense reasoning, can be studied and analyzed through what we can call a cognitive approach, that represents knowledge as structured and partitioned into different domains, everyone of which has a specific theory, but can exchange data and information with some of the others. Along these lines, we are going to show that a kind of ``counterfactual attitude'' is pervasive in a lot of forms (...) of common sense reasoning, as in theories of action, beliefs/intentions ascription, cooperative and antagonistic situations, communication acts. The second purpose of the paper is to give a reading of counterfactual reasoning as a specific kind of contextual reasoning, this latter interpreted according to the theory of MultiContext Systems developed by Fausto Giunchiglia and his group. (shrink)

Many Public Administrations structure their services around the notion of users’ need. However, there is a gap between private, subjectively perceived needs (self-attributed) and needs that are attributed by PA to citizens (heteroattributed). Because of the gap, citizens’ needs are often only partially satisfied by PAs services. This gap is in part due to the fact that the meaning of the word “need” is ambiguous and full of antinomic nuances. The purpose of this paper is to formulate a definition of (...) “need” suitable for citizens’ needs management with respect to PA’s services offering, and to provide an accurate ontological analysis of the notion of “need” and the network of concepts that relate to it. (shrink)

This is a short editorial, maybe introducing editorial board members' changes.

Nicola Guarino is widely recognized as one of the founders of applied ontology. His deep interest in the subtlest details of theoretical analysis and his vision of ontology as the Rosetta Stone for semantic interoperability guided the development and understanding of this domain. His motivations in research stem from the conviction that all science must be for the benefit of society at large, and his motto has always been that ontologies are not just for making information systems interoperable, but – (...) more importantly – for ensuring that systems’ users understand each other. He was among the first to recognize that applied ontology must be an interdisciplinary enterprise if it is to capture the intended meaning of the terms used by an information system. (shrink)

The growth of the Semantic Web resulted in the emergence of various kinds of artificial agents navigating the web, sharing resources and communicating among each other in a more and more sophisticated fashion. No one denies the relevance of research concerning the establishment of architectures and models for representing and enabling interaction and communication among agents. In another domain, ontologies have been consecrated as an essential tool to structure information in order to facilitate shareability and re-usability of knowledge resources like (...) the ones found on the Web. It is therefore no surprise that the management of ontologies by interacting and communicating agents is a hot topic for the whole Semantic Web community. In addition, the ontological foundations of agent interaction still remain a very active research area. The present issue of Applied Ontology on Formal Ontologies for Communicating Agents follows a workshop organized in July/August 2006 in the scope of the 11th European Summer School in Logic, Language and Information. After the workshop we issued an open call for contributions that allowed us to select a focused range of works addressing the research topics raised in the original workshop call. We would like to thank Nicola Guarino and Laure Vieu for their help in the organization process, as well as all the reviewers and authors, all workshop participants and other people who contributed in various ways to the success of the workshop and of this issue of Applied Ontology. (shrink)

This volume collects the papers presented at the 9th edition of the Formal Ontology in Information Systems conference, FOIS 2016, held July 6–9, 2016, in Annecy, France. As in the previous editions, FOIS 2016 included keynote addresses, full paper presentations, an Ontology Competition, an Early Career Symposium in its scientific program and was preceded by the Interdisciplinary Summer School on Ontological Analysis, now at its third edition and held June 27–July 1 in Bolzano-Bozen, Italy.

The theory of collective agency and intentionality is a flourishing field of research, and our understanding of these phenomena has arguably increased greatly in recent years. Extant theories, however, are still ill-equipped to explain certain aspects of collective intentionality. In this article we draw attention to two such underappreciated aspects: the failure of the intentional states of collectives to supervene on the intentional states of their members, and the role of non-human factors in collective agency and intentionality. We propose a (...) theory of collective intentionality which builds on the ‘interpretationist’ tradition in metasemantics and the philosophy of mind as initiated by David Lewis and recently developed further by Robbie Williams. The collective-level analogue of interpretationism turns out to look different in some ways from the individual-level theory, but is well-suited to accommodating phenomena such as hybrid collective intentionality. Complemented with Kit Fine’s theory of variable embodiment, such a theory also provides a diachronic account of intentional collectives. (shrink)

In this paper we want to examine how the mutual understanding of speakers is reached during a conversation through collaborative processes, and what role is played by abductive inference (in the Peircean sense) in these processes. We do this by bringing together contributions coming from a variety of disciplines, such as logic, philosophy of language and psychology. When speakers are engaged in a conversation, they refer to a supposed common ground: every participant ascribes to the others some knowledge, belief, opinion (...) etc. on which to rely in order to reach mutual understanding. As the conversation unfolds, this common ground is continually corrected and reshaped by the interchanges. An abductive reasoning takes place, in a collaborative setting, in order to build new possible theories about the common ground. In reconstructing this process through the use of a working example, we argue that the integration of a collaborative perspective within the Peircean theory of abduction can help to solve some of the drawbacks that the critics of the latter have outlined, for example its permissivity and non generativity. (shrink)

How can organisations survive not only the substitution of members, but also other dramatic changes, like that of the norms regulating their activities, the goals they plan to achieve, or the system of roles that compose them? This paper is as first step towards a well-founded ontological analysis of the persistence of organisations through changes. Our analysis leverages Kit Fine’s notions of rigid and variable embodiment and proposes to view the (history of the) decisions made by the members of the (...) organisation as the criterion to re-identify the organisation through change. (shrink)

We present an ontological analysis of the notion of group agency developed by Christian List and Philip Pettit. We focus on this notion as it allows us to neatly distinguish groups, organizations, corporations – to which we may ascribe agency – from mere aggregates of individuals. We develop a module for group agency within a foundational ontology and we apply it to organizations.

This book is written in homage to Nicola Guarino. It is a tribute to his many scientific contributions to the new discipline, applied ontology, he struggled to establish. Nicola Guarino is widely recognized as one of the pioneers in formal and applied ontology. Renow – and sometimes even criticized – for his deep interest for the subtlest details of theoretical analysis, all throughout his career he has held the conviction that all science has to be for the benefit of society (...) at large, hence his motto that ontologies are not just for making information systems interoperable, but also – and more importantly – for making people (users of the systems) understand each other. He was among the first to realize that, to capture the intended meaning of the terms used by an information system, applied ontology has necessarily to be an interdisciplinary enterprise. Nicola’s early career developed in the areas of data systems and expert systems in physics and biomedical engineering. The lack of methodologies in expert systems led him to turn to philosophical logic as a source of inspiration, prompting him to attend the meetings of the analytic philosophy group at the University of Padua, and to discover a whole new world. It was the end of the 1980s and in that period the term ‘ontology’ started to be used to indicate a shared vocabulary across a community. Recognizing the potentials of this idea, Nicola began studying philosophical work. Knowing that language remains one of the pivotal elements in knowledge acquisition and representation, he paired it with the study of linguistic analysis. The combination of the two fields proved to be fundamental to shape his research vision, which could be summarized as: ontological analysis is hard, yet unavoidable to address the pervasive need for explicit, meaningful and transparent information systems. In other words, ontology makes sense. (shrink)

In knowledge representation, socio-technical systems can be modeled as multiagent systems in which the local knowledge of each individual agent can be seen as a context. In this paper we propose formal ontologies as a means to describe the assumptions driving the construction of contexts as local theories and to enable interoperability among them. In particular, we present two alternative conceptualizations of the notion of sociomateriality (and entanglement), which is central in the recent debates on socio-technical systems in the social (...) sciences, namely critical and agential realism. We thus start by providing a model of entanglement according to the critical realist view, representing it as a property of objects that are essentially dependent on different modules of an already given ontology. We refine then our treatment by proposing a taxonomy of sociomaterial entanglements that distinguishes between ontological and epistemological entanglement. In the final section, we discuss the second perspective, which is more challenging form the point of view of knowledge representation, and we show that the very distinction of information into modules can be at least in principle built out of the assumption of an entangled reality. (shrink)

In this paper, building on these previous works, we propose to go deeper into the understanding of crowd behavior by proposing an approach which integrates ontologi- cal models of crowd behavior and dedicated computer vision algorithms, with the aim of recognizing some targeted complex events happening in the playground from the observation of the spectator crowd behavior. In order to do that, we first propose an ontology encoding available knowledge on spectator crowd behavior, built as a spe- cialization of the (...) DOLCE foundational ontology, which allows the representation of categories belonging both to the physical and to the social realms. We then propose a simplified and tractable version of such ontology in a new temporal extension of a description logic, which is used for temporally coupling events happening on the play- ground and spectator crowd behavior. At last, computer vision algorithms provide the input information concerning what is observed on the stands and ontological reasoning delivers the output necessary to perform complex event recognition. (shrink)

A thorough understanding of what needs are is fundamental for design- ing well-behaved information systems for many social applications and in partic- ular for public services. Talking about needs pervades indeed the jargon of Public Administrations when motivating their service offering. In this paper, we propose an ontological analysis of needs, aiming at a principled disentangling of the differ- ent uses of the term. We leverage philosophical tradition on intentionality, for its rich understanding of mental entities, we compare it with (...) the well-established BDI (Belief-Desire-Intention) tradition in knowledge representation, and we propose a formalisation of needs within the foundational ontology DOLCE. Throughout the paper, we motivate our analysis focusing on needs in public services. (shrink)

Nicola Guarino is widely recognized as one of the founders of applied ontology. His deep interest in the subtlest details of theoretical analysis and his vision of ontology as the Rosetta Stone for semantic interoperability guided the development and understanding of this domain. His motivations in research stem from the conviction that all science must be for the benefit of society at large, and his motto has always been that ontologies are not just for making information systems interoperable, but – (...) more importantly – for ensuring that systems’ users understand each other. He was among the first to recognize that applied ontology must be an interdisciplinary enterprise if it is to capture the intended meaning of the terms used by an information system. (shrink)

1 Introduzione La Fiorentina è una squadra di calcio dalla vita ultimamente piuttosto travagliata. Maurizio Ferraris, citando un’acuta osservazione di un suo studente, dà un’interessante descrizione di questa sua complicata esistenza: L’ac Fiorentina, nata il 26 agosto 1926, fallisce nel luglio 2002, e cessa ufficialmente di esistere. Una nuova società, la Florentia Viola, nasce il 3 agosto 2002, all’indomani della mancata iscrizione al campionato di serie B della ac Fiorentina 1926, e prende...

Forests, cars and orchestras are very different ontological entities, and yet very similar in some aspects. The relationships they have with the elements they are composed of is often assumed to be reducible to standard ontological relations, like parthood and constitution, but how this could be done is still debated. This paper sheds light on the issue starting from a linguistic and philosophical analysis aimed at understanding notions like plurality, collective and composite, and propos- ing a formal approach to characterise (...) them. We conclude the presentation with a discussion and analysis of social groups within this framework. (shrink)

Real engines of the artificial intelligence revolution, machine learning models, and algorithms are embedded nowadays in many services and products around us. As a society, we argue it is now necessary to transition into a phronetic paradigm focused on the ethical dilemmas stemming from the conception and application of AIs to define actionable recommendations as well as normative solutions. However, both academic research and society-driven initiatives are still quite far from clearly defining a solid program of study and intervention. In (...) this contribution, we will focus on selected ethical investigations around AI by proposing an incremental model of trust that can be applied to both human-human and human-AI interactions. Starting with a quick overview of the existing accounts of trust, with special attention to Taddeo’s concept of “e-trust,” we will discuss all the components of the proposed model and the reasons to trust in human-AI interactions in an example of relevance for business organizations. We end this contribution with an analysis of the epistemic and pragmatic reasons of trust in human-AI interactions and with a discussion of kinds of normativity in trustworthiness of AIs. (shrink)

Recent discussions in the philosophy of biology have brought into question some fundamental assumptions regarding evolutionary processes, natural selection in particular. Some authors argue that natural selection is nothing but a population-level, statistical consequence of lower-level events (Matthen and Ariew [2002]; Walsh et al. [2002]). On this view, natural selection itself does not involve forces. Other authors reject this purely statistical, population-level account for an individual-level, causal account of natural selection (Bouchard and Rosenberg [2004]). I argue that each of these (...) positions is right in one way, but wrong in another; natural selection indeed takes place at the level of populations, but it is a causal process nonetheless. (shrink)

Large language models (LLMs) have now entered the realm of medical ethics. In a recent study, Balaset alexamined the performance of GPT-4, a commercially available LLM, assessing its performance in generating responses to diverse medical ethics cases. Their findings reveal that GPT-4 demonstrates an ability to identify and articulate complex medical ethical issues, although its proficiency in encoding the depth of real-world ethical dilemmas remains an avenue for improvement. Investigating the integration of LLMs into medical ethics decision-making appears to be (...) an interesting avenue of research. However, despite the promising trajectory of LLM technology in medicine, it is crucial to exercise caution and refrain from attributing their expertise to medical ethics. Our thesis follows an examination of the nature of expertise and the epistemic limitations that affect LLM technology. As a result, we propose two more fitting applications of LLMs in medical ethics: first, as tools for mining electronic health records or scientific literature, thereby supplementing evidence for resolving medical ethics cases, and second, as educational platforms to foster ethical reflection and critical thinking skills among students and residents. The integration of LLMs in medical ethics, while promising, requires careful consideration of their epistemic limitations. Consequently, a well-considered definition of their role in ethically sensitive decision-making is crucial. (shrink)

The latter half of the twentieth century has been marked by debates in evolutionary biology over the relative significance of natural selection and random drift: the so-called “neutralist/selectionist” debates. Yet John Beatty has argued that it is difficult, if not impossible, to distinguish the concept of random drift from the concept of natural selection, a claim that has been accepted by many philosophers of biology. If this claim is correct, then the neutralist/selectionist debates seem at best futile, and at worst, (...) meaningless. I reexamine the issues that Beatty raises, and argue that random drift and natural selection, conceived as processes, can be distinguished from one another. (shrink)

In our recent article ‘The Ethics of the Algorithmic Prediction of Goal of Care Preferences: From Theory to Practice’1, we aimed to ignite a critical discussion on why and how to design artificial intelligence (AI) systems assisting clinicians and next-of-kin by predicting goal of care preferences for incapacitated patients. Here, we would like to thank the commentators for their valuable responses to our work. We identified three core themes in their commentaries: (1) the risks of AI paternalism, (2) worries about (...) attacks to our humanity stemming from the use of AI and (3) the possibility of designing AI systems for more relevant use cases than the one we consider in our work. We shall focus on these themes, leaving aside some other interesting suggestions, given the limited space available for our response. Diaz Milian and Bhattacharyya discuss the risks of AI paternalism highlighting how the use of an AI to predict goal of care preferences may incentivise clinicians and surrogates to shift the burden of decision making to the machine.2 In particular, ‘[i]f the AI-generated response is given priority above the other agents’2 and the AI makes decisions autonomously, then ‘AI paternalism’ would emerge.2 Against this possibility, the authors suggest four safeguards to be implemented in the AI life-cycle.2 These are procedures that may improve the trustworthiness of the AI and human control over it.3 We agree that it is important …. (shrink)

This article presents and discusses two contributions by Lélia Gonzales to the consolidation of an Afro-Latin-American feminism truly commited to breaking colonial oppression mechanisms and interested in the liberation of all human beings subjugated by the European colonization process. The first contribution pertains to the importance of understanding the formation of Brazilian society from a decolonial perspective. The second one concerns the need for feminist movements to include racial issues on their agendas in order to engage in the antiracist struggle.

The first work to offer a comprehensive pragmatist anthropology focusing on sensibility, habits, and human experience as contingently yet irreversibly enlanguaged.

In this paper we argue that transparency of machine learning algorithms, just as explanation, can be defined at different levels of abstraction. We criticize recent attempts to identify the explanation of black box algorithms with making their decisions (post-hoc) interpretable, focusing our discussion on counterfactual explanations. These approaches to explanation simplify the real nature of the black boxes and risk misleading the public about the normative features of a model. We propose a new form of algorithmic transparency, that consists in (...) explaining algorithms as an intentional product, that serves a particular goal, or multiple goals (Daniel Dennet’s design stance) in a given domain of applicability, and that provides a measure of the extent to which such a goal is achieved, and evidence about the way that measure has been reached. We call such idea of algorithmic transparency “design publicity.” We argue that design publicity can be more easily linked with the justification of the use and of the design of the algorithm, and of each individual decision following from it. In comparison to post-hoc explanations of individual algorithmic decisions, design publicity meets a different demand (the demand for impersonal justification) of the explainee. Finally, we argue that when models that pursue justifiable goals (which may include fairness as avoidance of bias towards specific groups) to a justifiable degree are used consistently, the resulting decisions are all justified even if some of them are (unavoidably) based on incorrect predictions. For this argument, we rely on John Rawls’s idea of procedural justice applied to algorithms conceived as institutions. (shrink)

Biologists and philosophers have been extremely pessimistic about the possibility of demonstrating random drift in nature, particularly when it comes to distinguishing random drift from natural selection. However, examination of a historical case-Maxime Lamotte's study of natural populations of the land snail, Cepaea nemoralis in the 1950s - shows that while some pessimism is warranted, it has been overstated. Indeed, by describing a unique signature for drift and showing that this signature obtained in the populations under study, Lamotte was able (...) to make a good case for a significant role for drift. It may be difficult to disentangle the causes of drift and selection acting in a population, but it is not impossible. (shrink)

In his recent article ‘Limits of trust in medical AI,’ Hatherley argues that, if we believe that the motivations that are usually recognised as relevant for interpersonal trust have to be applied to interactions between humans and medical artificial intelligence, then these systems do not appear to be the appropriate objects of trust. In this response, we argue that it is possible to discuss trust in medical artificial intelligence, if one refrains from simply assuming that trust describes human–human interactions. To (...) do so, we consider an account of trust that distinguishes trust from reliance in a way that is compatible with trusting non-human agents. In this account, to trust a medical AI is to rely on it with little monitoring and control of the elements that make it trustworthy. This attitude does not imply specific properties in the AI system that in fact only humans can have. This account of trust is applicable, in particular, to all cases where a physician relies on the medical AI predictions to support his or her decision making. (shrink)

Biologists studying ecology and evolution use the term “population” in many different ways. Yet little philosophical analysis of the concept has been done, either by biologists or philosophers, in contrast to the voluminous literature on the concept of “species.” This is in spite of the fact that “population” is arguably a far more central concept in ecological and evolutionary studies than “species” is. The fact that such a central concept has been employed in so many different ways is potentially problematic (...) for the reason that inconsistent usages (especially when the usage has not been made explicit) might lead to false controversies in which disputants are simply talking past one another. However, the inconsistent usages are not the only, or even the most important reason to examine the concept. If any set of organisms is legitimately called a “population,” selection and drift processes become purely arbitrary, too. Moreover, key ecological variables, such as abundance and distribution, depend on a nonarbitrary way of identifying populations. I sketch the beginnings of a population concept, drawing inspiration from the Ghiselin-Hull individuality thesis, and show why some alternative approaches are nonstarters. (shrink)

Evolutionary theory (ET) is teeming with probabilities. Probabilities exist at all levels: the level of mutation, the level of microevolution, and the level of macroevolution. This uncontroversial claim raises a number of contentious issues. For example, is the evolutionary process (as opposed to the theory) indeterministic, or is it deterministic? Philosophers of biology have taken different sides on this issue. Millstein (1997) has argued that we are not currently able answer this question, and that even scientific realists ought to remain (...) agnostic concerning the determinism or indeterminism of evolutionary processes. If this argument is correct, it suggests that, whatever we take probabilities in ET to be, they must be consistent with either determinism or indeterminism. This raises some interesting philosophical questions: How should we understand the probabilities used in ET? In other words, what is meant by saying that a certain evolutionary change is more or less probable? Which interpretation of probability is the most appropriate for ET? I argue that the probabilities used in ET are objective in a realist sense, if not in an indeterministic sense. Furthermore, there are a number of interpretations of probability that are objective and would be consistent with ET under determinism or indeterminism. However, I argue that evolutionary probabilities are best understood as propensities of population-level kinds. (shrink)

Naïve realism (also called ‘relationalism’ or ‘object view’) is becoming increasingly popular, but the specific outline of its commitments remains often underspecified by proponents and misunderstood by critics. Naïve realism is associated with two claims, both concerning genuine, veridical perceptual experience (where this excludes hallucinations). Constitutive Claim (CC): The phenomenal character of perception is (partly) constituted by the mind-independent objects in one’s surrounding and their properties. Relational Claim (RC): Perception is a relation to mind-independent objects in the environment and their (...) properties. Some philosophers use the two claims interchangeably while talking about naïve realism, while others use only one or the other, although they do not explicitly discuss if the other claim is also a core commitment of naïve realism, or if naïve realism can be held without the other claim. This raises the question of how RC and CC relate to one another, together with the most pressing question of what each claim ultimately commits one to. After discussing the shortcomings of alternative interpretations, I argue that naïve realism should be understood as committed to, first and foremost, RC. This should be understood as a claim about the phenomenal character of perception, rather than about its nature, structure or essence (whatever that means). CC, on the other hand, should be understood as a corollary of RC. This doesn’t only offer a better characterisation of how naïve realists understand phenomenal character: it also helps us understand how we can simultaneously claim that the object of perception is a constitutive element of perception, while also allowing for it to play a causal role in determining perception. (shrink)

Artificial intelligence (AI) systems are quickly gaining ground in healthcare and clinical decision-making. However, it is still unclear in what way AI can or should support decision-making that is based on incapacitated patients’ values and goals of care, which often requires input from clinicians and loved ones. Although the use of algorithms to predict patients’ most likely preferred treatment has been discussed in the medical ethics literature, no example has been realised in clinical practice. This is due, arguably, to the (...) lack of a structured approach to the epistemological, ethical and pragmatic challenges arising from the design and use of such algorithms. The present paper offers a new perspective on the problem by suggesting that preference predicting AIs be viewed as sociotechnical systems with distinctive life-cycles. We explore how both known and novel challenges map onto the different stages of development, highlighting interdisciplinary strategies for their resolution. (shrink)

A previous study has shown that the degree of trust into others might be biased by inducing either a more “inclusive” or “exclusive” cognitive-control mode. Here, we investigated whether the degree of interpersonal trust can be biased by environmental factors, such as odors, that are likely to impact cognitive-control states. Arousing olfactory fragrances (e.g., peppermint) are supposed to induce a more exclusive, and calming olfactory fragrances (e.g., lavender) a more inclusive state. Participants performed the Trust Game, which provides an index (...) of interpersonal trust by assessing the money units one participant (the trustor) transfers to another participant (the trustee), while being exposed to either peppermint or lavender aroma. All participants played the role of trustor. As expected, participants transferred significantly more money to the alleged trustee in the lavender as compared to the peppermint and no aroma conditions. This observation might have various serious implications for a broad range of situations in which interpersonal trust is an essential element, such as cooperation (e.g., mixed-motives situations), bargaining and negotiation, consumer behavior, and group performance. (shrink)

It is well known that John Dewey was very far from embracing the traditional idea of cognition as something happening inside one’s own mind and consisting in a pictorial representation of the alleged purely external reality out there. His position was largely convergent with enactivist accounts of cognition as something based in life and consisting in human actions within a natural environment. The paper considers Dewey’s conception of cognition by focusing on its potential contributions to the current debate with enactivism. (...) It claims that Dewey’s anti-substantial, continuistic, and emergentistic conception of the mind as a typically human conduct pulls the rug out of the idea of cognition as representation, as well as pushes the current discussion towards a serious reconsideration of representationalist assumptions about conceptuality and language. The paper emphasises that Dewey—differently from enactivists—frames the role of cognition within experience: he argues that cognition concerns those intermediate phases of our experiences of the world which are characterised by an indeterminate or troubled situation, because he claims that human beings’ interactions with their own environment are qualitatively richer and broader than cognition, including as they do many different and intertwined modes of experience. Finally, the author suggests that a coherent development of Dewey’s lines of thought should avoid rigid distinctions and hierarchies between lower and higher degrees of cognition in humans, which are still maintained in certain forms of radical enactivism. Differently, we should consider the impact of the cultural and broadly linguistic configuration of the human–environment even on perception, motor action, and affective sensibility. (shrink)

Biologists and philosophers have offered differing concepts of biological race. That is, they have offered different candidates for what a biological correlate of race might be; for example, races might be subspecies, clades, lineages, ecotypes, or genetic clusters. One thing that is striking about each of these proposals is that they all depend on a concept of population. Indeed, some authors have explicitly characterized races in terms of populations. However, including the concept of population into concepts of race raises three (...) puzzles, all having to do with time. In this paper, I extend the causal interactionist population concept (CIPC) by introducing some simple assumptions about how to understand populations through time. These assumptions help to shed light on the three puzzles, and in the process show that if we want to understand races in terms of populations, we will need to revise our concept(s) of race. (shrink)

In Darwin’s Sacred Cause, Adrian Desmond and James Moore contend that “Darwin would put his utmost into sexual selection because the subject intrigued him, no doubt, but also for a deeper reason: the theory vindicated his lifelong commitment to human brotherhood”. Without questioning Desmond and Moore’s evidence, I will raise some puzzles for their view. I will show that attention to the structure of Darwin’s arguments in the Descent of Man shows that they are far from straightforward. As Desmond and (...) Moore note, Darwin seems to have intended sexual selection in non-human animals to serve as evidence for sexual selection in humans. However, Darwin’s account of sexual selection in humans was different from the canonical cases that Darwin described at great length. If explaining the origin of human races was the main reason for introducing sexual selection, and if sexual selection was a key piece of Darwin’s anti-slavery arguments, then it is puzzling why Darwin would have spent so much time discussing cases that did not really support his argument for the origin of human races, and it is also puzzling that his argument for the origin of human races would be so poor. (shrink)

Frágil é, segundo Alexis de Tocqueville, o equilíbrio em que se encontra a liberdade em um estado social de igualdade de condições. Tomados pela sua maior paixão, a da igualdade, os homens democráticos podem assistir a conversão da liberdade em despotismo ao se entregarem à busca exclusiva de seus interesses e bens privados, ao abdicarem da faculdade de julgar, deixandose guiar servilmente pela opinião da maioria, a fonte da autoridade em tal estado social. Em face disso, este artigo sustenta que, (...) ao discorrer acerca dos costumes estadunidenses, n'A Democracia na América, o autor não faz mera descrição mas delineia uma teoria social, a doutrina do interesse bem compreendido, a qual relacionaria, na república americana, a virtude e o interesse, e poderia fornecer elementos para instruir as sociedades democráticas. (shrink)