The article presents edmund Husserl’s idea of transcendental phenomenology in the perspec‐ tive of the project of science. this aspect of Husserl’s writings was pointed out by, for example, rudolf Bernet, man ed Brelage, Iso Kern, eduard marbach, eugen Fink, Ludwig Landgrebe, and roman Ingarden. the main aim, realised in the article is to prove the main hypothesis claiming that transcendental phenomenology is closely connected with Husserl’s conception of philosophy, the idea of philosophy as a science (eidetic and (...) transcendental). the project of transcendental science and knowledge is also connected with Husserl’s conception of transcen‐ dental reduction taken as a mode of revealing those constitutive achievements of consciousness which were covered in the natural attitude. In the paper, I focus on presenting the most im‐ portant points (epistemological, methodological, and transcendental) connected with Husserl’s evolution of phenomenology in the perspective of the project of science. (shrink)

Landgrebe and Smith (2022) have recently offered an important mathematical argument against the possibility of Artificial General Intelligence (AGI): human intelligence is a complex system; complex systems have some properties that cannot be modelled mathematically; hence we have no viable way to build an AI that would be able to emulate human intelligence. The issue of complexity is thus at the heart of the Landgrebe and Smith approach, and they tackle this issue by postulating a set of conditions, (...) derived from mathematics, for a system to be complex. I argue that Hayek’s “Theory of Complex Phenomena” offers an interesting alternative path to understanding what makes complex systems complex. This offers an argument complementary to that of Landgrebe and Smith, which approaches the issue of complexity from an ontological angle, and which is designed to show that AI systems are not the right kind of entity that may interact meaningfully with complex systems. (shrink)

In his “Bridging mainstream and formal ontology”, Augusto (2021) gives an excellent analysis of Dietrich von Freiberg’s idea of using causality as a partitioning principle for upper ontologies. For this Dietrich’s notion of extrinsic principles is crucial. The question whether causation can and indeed should be used as a partitioning principle for ontologies is discussed using mathematics and physics as examples.

Implicit stochastic models, including both ‘deep neural networks’ (dNNs) and the more recent unsupervised foundational models, cannot be explained. That is, it cannot be determined how they work, because the interactions of the millions or billions of terms that are contained in their equations cannot be captured in the form of a causal model. Because users of stochastic AI systems would like to understand how they operate in order to be able to use them safely and reliably, there has emerged (...) a new field called ‘explainable AI’ (XAI). When we examine the XAI literature, however, it becomes apparent that its protagonists have redefined the term ‘explanation’ to mean something else, namely: ‘interpretation’. Interpretations are indeed sometimes possible, but we show that they give at best only a subjective understanding of how a model works. We propose an alternative to XAI, namely certified AI (CAI), and describe how an AI can be specified, realized, and tested in order to become certified. The resulting approach combines ontologies and formal logic with statistical learning to obtain reliable AI systems which can be safely used in technical applications. (shrink)

Health Level 7 (HL7) is an international standards development organisation in the domain of healthcare information technology. Initially the mission of HL7 was to enable data exchange via the creation of syntactic standards which supported point-to-point messaging. Currently HL7 sees its mission as one of creating standards for semantic interoperability in healthcare IT on the basis of its flagship “version 3” (v3). Unfortunately, v3 has been plagued by quality and consistency issues, and it has not been able to keep pace (...) with recent developments either in semantics and ontology or in computer science and engineering. HL7’s response has been to develop its “Services-Aware Interoperability Framework” (SAIF), which is intended to provide a foundation for work on all aspects of standardization in HL7 henceforth. We here summarise the major design principles that must be satisfied by a semantic interoperability framework – principles relating both to static semantics and to computational behaviour. We then assess the SAIF in light of these principles. We conclude that the SAIF is not in a position to support the needed reform of the HL7 v3 family of standards. (shrink)

The book’s core argument is that an artificial intelligence that could equal or exceed human intelligence—sometimes called artificial general intelligence (AGI)—is for mathematical reasons impossible. It offers two specific reasons for this claim: Human intelligence is a capability of a complex dynamic system—the human brain and central nervous system. Systems of this sort cannot be modelled mathematically in a way that allows them to operate inside a computer. In supporting their claim, the authors, Jobst Landgrebe and Barry Smith, marshal (...) evidence from mathematics, physics, computer science, philosophy, linguistics, and biology, setting up their book around three central questions: What are the essential marks of human intelligence? What is it that researchers try to do when they attempt to achieve "artificial intelligence" (AI)? And why, after more than 50 years, are our most common interactions with AI, for example with our bank’s computers, still so unsatisfactory? Landgrebe and Smith show how a widespread fear about AI’s potential to bring about radical changes in the nature of human beings and in the human social order is founded on an error. There is still, as they demonstrate in a final chapter, a great deal that AI can achieve which will benefit humanity. But these benefits will be achieved without the aid of systems that are more powerful than humans, which are as impossible as AI systems that are intrinsically "evil" or able to "will" a takeover of human society. (shrink)

Artificial intelligence (AI) research enjoyed an initial period of enthusiasm in the 1970s and 80s. But this enthusiasm was tempered by a long interlude of frustration when genuinely useful AI applications failed to be forthcoming. Today, we are experiencing once again a period of enthusiasm, fired above all by the successes of the technology of deep neural networks or deep machine learning. In this paper we draw attention to what we take to be serious problems underlying current views of artificial (...) intelligence encouraged by these successes, especially in the domain of language processing. We then show an alternative approach to language-centric AI, in which we identify a role for philosophy. (shrink)

We comment on the collection of papers inspired by our book Why Machines Will Never Rule the World published in volume 12 (5+6) of the journal Cosmos+Taxis. We summarize the arguments made by the contributors about what we say in the book, and then show where we disagree.

The view of nature we adopt in the natural attitude is determined by common sense, without which we could not survive. Classical physics is modelled on this common-sense view of nature, and uses mathematics to formalise our natural understanding of the causes and effects we observe in time and space when we select subsystems of nature for modelling. But in modern physics, we do not go beyond the realm of common sense by augmenting our knowledge of what is going on (...) in nature. Rather, we have measurements that we do not understand, so we know nothing about the ontology of what we measure. We help ourselves by using entities from mathematics, which we fully understand ontologically. But we have no ontology of the reality of modern physics; we have only what we can assert mathematically. In this paper, we describe the ontology of classical and modern physics against this background and show how it relates to the ontology of common sense and of mathematics. (shrink)

Barry Smith recently discussed the diagraphs of book eight of Jacob Lorhard’s Ogdoas scholastica under the heading “birth of ontology” (Smith, 2022; this issue). Here, I highlight the commonalities between the original usage of diagraphs in the tradition of Ramus for didactic purposes and the the usage of their present-day successors–modern ontologies–for computational purposes. The modern ideas of ontology and of the universal computer were born just two generations apart in the breakthrough century of instrumental reason.

An interview by Alex Thomson of UKColumn on Landgrebe and Smith's book: Why Machines Will Never Rule the World. The subtitle of the book is Artificial Intelligence Without Fear, and the interview begins with the question of the supposedly imminent takeover of one profession or the other by artificial intelligence. Is there truly reason to be afraid that you will lose your job? The interview itself is titled 'Where this is no will there is no way', drawing on one (...) thesis of the book to the effect that there will never be anything like the human will on the part of a machine. This is for mathematical reasons. AI is always and in every case a matter of algorithms; thus of applied mathematics. And algorithms are not the sorts of things that can want or desire or intend to do something. It is the human will of those who work at OpenAI or google or microsoft which have given rise to the new shiny objects of AI (ChatGPT and other Large Language Models). And it is the human will of the users of these shiny objects which gives them the resources and power to work their apparent miracles. (shrink)

Since the noun phrase `artificial intelligence' (AI) was coined, it has been debated whether humans are able to create intelligence using technology. We shed new light on this question from the point of view of themodynamics and mathematics. First, we define what it is to be an agent (device) that could be the bearer of AI. Then we show that the mainstream definitions of `intelligence' proposed by Hutter and others and still accepted by the AI community are too weak even (...) to capture what is involved when we ascribe intelligence to an insect. We then summarise the highly useful definition of basic (arthropod) intelligence proposed by Rodney Brooks, and we identify the properties that an AI agent would need to possess in order to be the bearer of intelligence by this definition. Finally, we show that, from the perspective of the disciplines needed to create such an agent, namely mathematics and physics, these properties are realisable by neither implicit nor explicit mathematical design nor by setting up an environment in which an AI could evolve spontaneously. (shrink)

Some defenders of so-called `artificial intelligence' believe that machines can understand language. In particular, Søgaard has argued in his "Understanding models understanding language" (2022) for a thesis of this sort. His idea is that (1) where there is semantics there is also understanding and (2) machines are not only capable of what he calls `inferential semantics', but even that they can (with the help of inputs from sensors) `learn' referential semantics. We show that he goes wrong because he pays insufficient (...) attention to the difference between language as used by humans and the sequences of inert symbols which arise when language is stored on hard drives or in books in libraries. (shrink)

Transcript of an Interview on the podcast: Irreverend: Faith and Current Affairs.

Sam Harris is a contemporary illustration of the difficulties standing in the way of coherent interdisciplinary thinking in an age where science and the humanities have drifted so far apart. We are here with Harris’s views on AI, and specifically with his view according to which, with the advance of AI, there will evolve a machine superintelligence with powers that far exceed those of the human mind. This he sees as something that is not merely possible, but rather a matter (...) of inevitability. If, however, we look carefully at what intelligence is, and at how computers really work on the basis of mathematical models, then we can see that it is forever impossible to emulate inside a computer even the intelligence of crows or rabbits, let alone that of human beings. (shrink)

This chapter introduces psychologism as the thesis that social facts can explained in terms of more basic facts about individuals, their psychological states, their actions, their relations, and their environments. It argues psychologism should be our default stance toward social reality. It reviews psychologistic approaches to shared intention and how shared intentions can help explain conventions, status functions, and organizations. It provides a deflationary account of corporate attitudes. It argues that neither physical nor social externalism about thought content are incompatible (...) with psychologism. It argues that social construction views of the self that conflict with psychologism are implausible. Finally, it points out that it is no objection to psychologism that social facts can change without changes in psychological facts because this is compatible with psychologism as explained here. (shrink)

The aim of this article is to argue that ontological choices in scientific practice undermine common formulations of the value-free ideal in science. First, I argue that the truth values of scientific statements depend on ontological choices. For example, statements about entities such as species, race, memory, intelligence, depression, or obesity are true or false relative to the choice of a biological, psychological, or medical ontology. Second, I show that ontological choices often depend on non-epistemic values. On the basis of (...) these premises, I argue that it is often neither possible nor desirable to evaluate scientific statements independently of non-epistemic values. Finally, I suggest that considerations of ontological choices do not only challenge the value-free ideal but also help to specify positive roles of non-epistemic values in an often neglected area of scientific practice. (shrink)

This chapter investigates the Institutional Distribution Question for backwards-looking collective moral responsibility for institutional action, namely, the question how blame is to be distributed over members of an institution in virtue of its being collectively to blame for some harm. The distribution of blame over members of an institution for harms that the institution brings about must take into account the different institutional roles of its members. This is the primary difference between the question of distribution of responsibilities in unorganized (...) groups and in institutional groups. A central goal of this chapter is to say how and why this makes a difference. The two central organizing ideas will be that of a role that is a responsibility magnet, that is, one which attracts individual responsibility for blameworthy institutional action and that of a role which is, at least in certain respects, a responsibility shelter. In a responsibility shelter, the occupier of the role is at least provisionally innocent of blame for institutional action that is itself blameworthy, even when the agent in the role makes a contribution to it. What roles are magnets or shelters can be sensitive to the context and type of action the institution undertakes. The central theoretical tool in determining what roles are magnets and what roles are shelters is how collectively accepted proxy agent roles structure trust and responsibility burdens in an institution. (shrink)

The aim of this article is to discuss the relation between indigenous and scientific kinds on the basis of contemporary ethnobiological research. I argue that ethnobiological accounts of taxonomic convergence-divergence patters challenge common philosophical models of the relation between folk concepts and natural kinds. Furthermore, I outline a positive model of taxonomic convergence-divergence patterns that is based on Slater's [2014] notion of “stable property clusters” and Franklin-Hall's [2014] discussion of natural kinds as “categorical bottlenecks.” Finally, I argue that this model (...) is not only helpful for understanding the relation between indigenous and scientific kinds but also makes substantial contributions to contemporary debates about natural kinds.to contemporary debates about natural kinds. (shrink)

Ludwig deals with the relations between language, thought, and rationality, and, especially, the role and status of assumptions about rationality in interpreting another’s speech and assigning contents to her psychological attitudes—her beliefs, desires, intentions, and so on. The chapter is organized around three questions: What is the relation between rationality and thought? What is the relation between rationality and language? What is the relation between thought and language? Ludwig argues that some large degree of rationality is required for (...) thought and consequently that same degree of rationality at least is required for language since language requires thought. Thought, however, does not require language. In answering questions and, Ludwig gives particular attention to Davidson’s arguments for the Principle of Charity, according to which it is constitutive of speakers that they are largely rational and largely right about the world, and to Davidson’s arguments for the thesis that without the power of speech we lack the power of thought. (shrink)

This chapter looks for “continuity and convergence” between Davidson’s and Wittgenstein’s work, identifies common themes and family resemblances, as well as disagreements, especially in the theory of meaning. I take up in turn: -/- (1) their shared rejection of the utility of an ontology of meanings; (2) a convergence on the idea that we must show rather than say what an expression means; (3) the similarities and differences between them on meaning as use and the sense in which rule following (...) is essential for meaning; (4) the publicity of language, first in connection with radical interpretation; and (5) then with Davidson’s later work on triangulation in securing objective thought. (shrink)

The aim of this article is to show that externalist accounts of cognition such as Clark and Chalmers' (1998) “active externalism” lead to an explosion of knowledge that is caused by online resources such as Wikipedia and Google. I argue that externalist accounts of cognition imply that subjects who integrate mobile Internet access in their cognitive routines have millions of standing beliefs on unexpected issues such as the birth dates of Moroccan politicians or the geographical coordinates of villages in southern (...) Indonesia. Although many externalists propose criteria for the bounds of cognition that are designed to avoid this explosion of knowledge, I argue that these criteria are flawed and that active externalism has to accept that information resources such as Wikipedia and Google constitute extended cognitive processes. (shrink)

The aim of this article is to develop an understanding-based argument for an explicitly political specification of the concept of race. It is argued that a specification of race in terms of hierarchical social positions is best equipped to guide causal reasoning about racial inequality in the public sphere. Furthermore, the article provides evidence that biological and cultural specifications of race mislead public reasoning by encouraging confusions between correlates and causes of racial inequality. The article concludes with a more general (...) case for incorporating empirical evidence about public reasoning into philosophical debates about competing specifications of the concept of race. (shrink)

Das in diesem Aufsatz vorgebrachte Argumentationsmuster hat folgende Schritte: 1. Der menschliche Geist ist vom Körper nicht trennbar, sie bilden ein Kontinuum. 2. Unser Bewusstsein und alle darauf aufbauenden geistigen Phänomene sind die Emanation eines materiellen Prozesses, den ein komplexes System verursacht. 3. Komplexe Systeme lassen sich mathematisch nicht modellieren und nicht kausal verstehen. 4. Computer sind Turing-Maschinen. Sie können nur mathematische Modelle berechnen. Es wird niemals Hyper-Turing Maschinen geben, und wenn es sie gäbe, könnten sie auch nur mathematische Modelle (...) berechnen. 5. Es ist nicht möglich, den Körper als Substrat des Geistes durch einen Computer zu ersetzen. Die digitale Unsterblichkeit ist demzufolge ein Ding der Unmöglichkeit. (shrink)

The goal of creating Artificial General Intelligence (AGI) – or in other words of creating Turing machines (modern computers) that can behave in a way that mimics human intelligence – has occupied AI researchers ever since the idea of AI was first proposed. One common theme in these discussions is the thesis that the ability of a machine to conduct convincing dialogues with human beings can serve as at least a sufficient criterion of AGI. We argue that this very ability (...) should be accepted also as a necessary condition of AGI, and we provide a description of the nature of human dialogue in particular and of human language in general against this background. We then argue that it is for mathematical reasons impossible to program a machine in such a way that it could master human dialogue behaviour in its full generality. This is (1) because there are no traditional explicitly designed mathematical models that could be used as a starting point for creating such programs; and (2) because even the sorts of automated models generated by using machine learning, which have been used successfully in areas such as machine translation, cannot be extended to cope with human dialogue. If this is so, then we can conclude that a Turing machine also cannot possess AGI, because it fails to fulfil a necessary condition thereof. At the same time, however, we acknowledge the potential of Turing machines to master dialogue behaviour in highly restricted contexts, where what is called “narrow” AI can still be of considerable utility. (shrink)

This paper gives an account of proxy agency in the context of collective action. It takes the case of a group announcing something by way of a spokesperson as an illustration. In proxy agency, it seems that one person or subgroup's doing something counts as or constitutes or is recognized as (tantamount to) another person or group's doing something. Proxy agency is pervasive in institutional action. It has been taken to be a straightforward counterexample to an appealing deflationary view of (...) collective action as a matter of all members of a group making a contribution to bringing about some event. I show that this is a mistake. I give a deflationary account of constitutive rules in terms of essentially collective action types. I then give an account of one form of constitutive agency in terms of constitutive rules. I next give an account of status functions—of which being a spokesperson is one—that also draws on the concept of a constitutive rule. I then show how these materials help us to see how proxy agency is an expression of the agency of all members of the group credited with doing something when the proxy acts. (shrink)

Recent third person approaches to thought experiments and conceptual analysis through the method of surveys are motivated by and motivate skepticism about the traditional first person method. I argue that such surveys give no good ground for skepticism, that they have some utility, but that they do not represent a fundamentally new way of doing philosophy, that they are liable to considerable methodological difficulties, and that they cannot be substituted for the first person method, since the a priori knowledge which (...) is our object in conceptual analysis can be acquired only from the first person standpoint. (shrink)

Corporations have often been taken to be the paradigm of an organization whose agency is autonomous from that of the successive waves of people who occupy the pattern of roles that define its structure, which licenses saying that the corporation has attitudes, interests, goals, and beliefs which are not those of the role occupants. In this essay, I sketch a deflationary account of agency-discourse about corporations. I identify institutional roles with a special type of status function, a status role, in (...) which the collectively accepted function is expressed in part through its occupier’s intentional expression of her agency in that role. I identify institutions as systems of status roles and show how this is compatible with seeing the agency of institutions generally, even over time periods in which there is complete change in role occupiers, as a matter of the contributions only of individual agents. I explain how the reduction of the institution to its members is compatible with its potentially having had a completely different membership. I show in the case of the corporation in particular that, once we see its origins and function, the surface features of legal discourse about corporate agency are misleading and are compatible with a deflationary account of corporate agency. I show in connection with this that the corporation is to be identified with its shareholders, and that where a corporation separates ownership and control, its managers and employees are proxy agents of the shareholders doing business under the corporate form. Finally, I canvass the legitimate ways of construing ordinary talk about corporate intention, belief, and so on, in light of this, none of which support the attribution of genuine agency or intentionality to any group per se associated with the corporation. (shrink)

Call it the Skynet hypothesis, Artificial General Intelligence, or the advent of the Singularity — for years, AI experts and non-experts alike have fretted (and, for a small group, celebrated) the idea that artificial intelligence may one day become smarter than humans. -/- According to the theory, advances in AI — specifically of the machine learning type that’s able to take on new information and rewrite its code accordingly — will eventually catch up with the wetware of the biological brain. (...) In this interpretation of events, every AI advance from Jeopardy-winning IBM machines to the massive AI language model GPT-3 is taking humanity one step closer to an existential threat. We’re literally building our soon-to-be-sentient successors. -/- Except that it will never happen. At least, according to the authors of the new book Why Machines Will Never Rule the World: Artificial Intelligence without Fear. (shrink)

Current controversies about knowledge integration reflect conflicting ideas of what it means to “take Indigenous knowledge seriously”. While there is increased interest in integrating Indigenous and Western scientific knowledge in various disciplines such as anthropology and ethnobiology, integration projects are often accused of recognizing Indigenous knowledge only insofar as it is useful for Western scientists. The aim of this article is to use tools from philosophy of science to develop a model of both successful integration and integration failures. On the (...) one hand, I argue that cross-cultural recognition of property clusters leads to an ontological overlap that makes knowledge integration often epistemically productive and socially useful. On the other hand, I argue that knowledge integration is limited by ontological divergence. Adequate models of Indigenous knowledge will therefore have to take integration failures seriously and I argue that integration efforts need to be complemented by a political notion of ontological self-determination. (shrink)

Appeal to triangulation occurs in two different contexts in Davidson’s work. In the first, triangulation—in the trigonometric sense—is used as an analogy to help explain the central idea of a transcendental argument designed to show that we can have the concept of objective truth only in the context of communication with another speaker. In the second, the triangulation of two speakers responding to each other and to a common cause of similar responses is invoked as a solution to the problem (...) of underdetermination of thought and meaning by the patterns of causal relations we stand in to the environment. I examine both of these uses of the idea of triangulation. In section 2, I take up the use of triangulation as an analogy in connection with Davidson transcendental argument to establish that communication is essential for the concept of objectivity. I argue that it is unsuccessful because the case has not been made that scope for deploying the idea of contrasting perspectives, which is needed for the concept of objectivity, is available only in the context of communication. In section 3, I take up the idea that triangulation on a common cause of common responses of two creatures interacting with each other provides the additional constraint needed to assign objective content to our thoughts and words. I show that appeal to this sort of triangulation provides minimal help in responding to the problem it is intended to solve. Section 4 provides a brief summary and conclusion. (shrink)

The aim of this article is to develop an argument against metaphysical debates about the existence of human races. I argue that the ontology of race is underdetermined by both empirical and non-empirical evidence due to a plurality of equally permissible candidate meanings of "race." Furthermore, I argue that this underdetermination leads to a deflationist diagnosis according to #hich disputes about the existence of human races are non-substantive verbal disputes. $hile this diagnosis resembles general deflationist strategies in contemporary metaphysics" I (...) show that my argument does not presuppose controversial metametaphysical assumptions. (shrink)

Much of the recent movement organized under the heading “Experimental Philosophy” has been concerned with the empirical study of responses to thought experiments drawn from the literature on philosophical analysis. I consider what bearing these studies have on the traditional projects in which thought experiments have been used in philosophy. This will help to answer the question what the relation is between Experimental Philosophy and philosophy, whether it is an “exciting new style of [philosophical] research”, “a new interdisciplinary field that (...) uses methods normally associated with psychology to investigate questions normally associated with philosophy” (Knobe et al. 2012), or whether its relation to philosophy consists, as some have suggested, in no more than the word ‘philosophy’ appearing in its title, or whether the truth lies somewhere in between these two views. I first distinguishes different strands in Experimental Philosophy, negative and positive x-phi, and x-phi pursuing philosophy as opposed to x-phi as cognitive science. Next I review some ways in which Experimental Philosophy has been criticized. Finally, I consider what would have to be true for Experimental Philosophy to have one or another sort of relevance to philosophy, whether the assumptions required are true, how we could know it, and the ideal limits of the usefulness Experimental Philosophy to philosophy. I conclude x-phi cannot in principle be a replacement for traditional first person approaches because it yields the wrong kind of knowledge and that it can nonetheless be a practical aid in conducting philosophical thought experiments. n. (shrink)

This is a review essay on Carol Rovane's book The Metaphysics and Ethics of Relativism. I outline the main line of argument, clarify the central claim, raise some questions about some of the arguments, and suggest some limits on the extent to which one could see another's views as right but not accept them.

This article discusses the logical form of action sentences with particular attention to the role of adverbial modification, reviewing and extending the event analysis of action sentences.

This article uses the case study of ethnobiological classification to develop a positive and a negative thesis about the state of natural kind debates. On the one hand, I argue that current accounts of natural kinds can be integrated in a multidimensional framework that advances understanding of classificatory practices in ethnobiology. On the other hand, I argue that such a multidimensional framework does not leave any substantial work for the notion “natural kind” and that attempts to formulate a general account (...) of naturalness have become an obstacle to understanding classificatory practices. (shrink)

This article develops an account of local epistemic practices on the basis of case studies from ethnobiology. I argue that current debates about objectivity often stand in the way of a more adequate understanding of local knowledge and ethnobiological practices in general. While local knowledge about the biological world often meets criteria for objectivity in philosophy of science, general debates about the objectivity of local knowledge can also obscure their unique epistemic features. In modification of Ian Hacking’s suggestion to discuss (...) “ground level questions” instead of objectivity, I propose an account that focuses on both epistemic virtues and vices of local epistemic practices. (shrink)

Donald Davidson was one of the most influential philosophers of the last half of the 20th century, especially in the theory of meaning and in the philosophy of mind and action. In this paper, I concentrate on a field-shaping proposal of Davidson’s in the theory of meaning, arguably his most influential, namely, that insight into meaning may be best pursued by a bit of indirection, by showing how appropriate knowledge of a finitely axiomatized truth theory for a language can put (...) one in a position both to interpret the utterance of any sentence of the language and to see how its semantically primitive constituents together with their mode of combination determines its meaning (Davidson 1965, 1967, 1970, 1973a). This project has come to be known as truth-theoretic semantics. My aim in this paper is to render the best account I can of the goals and methods of truth-theoretic semantics, to defend it against some objections, and to identify its limitations. Although I believe that the project I describe conforms to the main idea that Davidson had, my aim is not primarily Davidson exegesis. I want to get on the table an approach to compositional semantics for natural languages, inspired by Davidson, but extended and developed, which I think does about as much along those lines as any theory could. I believe it is Davidson’s project, and I defend this in detail elsewhere (Ludwig 2015; Lepore and Ludwig 2005, 2007a, 2007b, 2011). But I want to develop and defend the project while also exploring its limitations, without getting entangled in exegetical questions. (shrink)

This chapter argues that while quotation marks are polysemous, the thread that runs through all uses of quotation marks that involve reference to expressions is pure quotation, in which an expression formed by enclosing another expression in quotation marks refers to that enclosed expression. We defend a version of the so-called disquotational theory of pure quotation and show how this device is used in direct discourse and attitude attributions, in exposition in scholarly contexts, and in so-called mixed quotation in indirect (...) discourse and attitude attributions. We argue that uses of quotation marks that extend beyond pure quotation have two features in common. First, the expressions appearing in quotation marks are intended to be understood, and that they are intended to be understood is essential to the function that such quotations play in communication, though this does not always involve the expressions contributing their extensional properties to fixing truth conditions for the sentences in which they appear. Second, they appeal to a relation to the expression appearing in quotation marks that plays a role in determining the truth conditions of the sentences in which they appear. (shrink)

This paper offers an analysis of the logical form of plural action sentences that shows that collective actions so ascribed are a matter of all members of a group contributing to bringing some event about. It then uses this as the basis for a reductive account of the content of we-intentions according to which what distinguishes we-intentions from I-intentions is that we-intentions are directed about bringing it about that members of a group act in accordance with a shared plan.

This paper clarifies Searle's account of we-intentions and then argues that it is subject to counterexamples, some of which are derived from examples Searle uses against other accounts. It then offers an alternative reductive account that is not subject to the counterexamples.

This article outlines a program of ethnoontology that brings together empirical research in the ethnosciences with ontological debates in philosophy. First, we survey empirical evidence from heterogeneous cultural contexts and disciplines. Second, we propose a model of cross‐cultural relations between ontologies beyond a simple divide between universalist and relativist models. Third, we argue for an integrative model of ontology building that synthesizes insights from different fields such as biological taxonomy, cognitive science, cultural anthropology, and political ecology. We conclude by arguing (...) that a program of ethnoontology provides philosophers both with insights about traditional issues such as debates about natural kinds and with novel strategies for connecting philosophy with pressing global issues such as the conservation of local environments and the self‐determination of Indigenous communities. (shrink)

This chapter identifies the central issue between Michael Dummett and Donald Davidson on the role of convention in language and argues they are not as far apart in the end as they take themselves to be.

In this chapter, I defend the program of conceptual analysis, broadly construed, and the method of thought experiments in epistemology, as a first-person enterprise, that is, as one which draws on the investigator's own competence in the relevant concepts. I do not suggest that epistemology is limited to conceptual analysis, that it does not have important a posteriori elements, that it should not draw on empirical work wherever relevant (and non-question begging), or that it is not a communal enterprise. Although (...) discussion in the space available will necessarily be brief, and many points must be elided altogether, I aim to sketch salient features of the landscape, clarify issues, set aside some confusions, and outline responses to some recent challenges. In §2, I sketch a traditional account of concepts and conceptual truths. In §3, I review a broad conception of analysis as encompassing not just reduction but also articulation of conceptual connections. In §4, I address the charge that in studying epistemic concepts we turn away from our proper target of study, the actual phenomena of knowledge, justification, and so on. In §5, I give a brief overview of the method of thought experiments. In §6, I address objections to thought experiments that have their source in "experimental philosophy." In §7, I address the charge that pursuing conceptual analysis in epistemology is misplaced because 'knowledge', 'justification', 'evidence' and so on, are natural kind terms, and hence that we must engage in empirical research to discover the real essences of the kinds they pick out (if any). (shrink)

I address a criticism of the use of thought experiments in conceptual analysis advanced on the basis of the survey method of so-called experimental philosophy. The criticism holds that surveys show that intuitions are relative to cultures in a way that undermines the claim that intuition-based investigation yields any objective answer to philosophical questions. The crucial question is what intuitions are as philosophers have been interested in them. To answer this question we look at the role of intuitions in philosophical (...) inquiry. When we have done this, we can see that it is impossible for intuitions properly understood to be relative in the way that has been suggested as they are conceived of as expressions of competence in the concepts deployed in their contents. The remaining methodological issues, though not to be dismissed, present no in principle objection to the method of thought experiments. (shrink)

The term ‘intelligence’ as used in this paper refers to items of knowledge collected for the sake of assessing and maintaining national security. The intelligence community (IC) of the United States (US) is a community of organizations that collaborate in collecting and processing intelligence for the US. The IC relies on human-machine-based analytic strategies that 1) access and integrate vast amounts of information from disparate sources, 2) continuously process this information, so that, 3) a maximally comprehensive understanding of world actors (...) and their behaviors can be developed and updated. Herein we describe an approach to utilizing outcomes-based learning (OBL) to support these efforts that is based on an ontology of the cognitive processes performed by intelligence analysts. Of particular importance to the Cognitive Process Ontology is the class Representation that is Warranted. Such a representation is descriptive in nature and deserving of trust in its veridicality. The latter is because a Representation that is Warranted is always produced by a process that was vetted (or successfully designed) to reliably produce veridical representations. As such, Representations that are Warranted are what in other contexts we might refer to as ‘items of knowledge’. (shrink)

This chapter reviews some of the history of discussions of logical form and offers a truth-theoretic account that traces back to Donald Davidson.

Ethnobiology has a long tradition of metaphysical debates about the “naturalness,” “objectivity”, “reality”, and “universality” of classifications. Especially the work of Brent Berlin has been influential in developing a “convergence metaphysics” that explains cross-cultural similarities of knowledge systems through shared recognition of objective discontinuities in nature. Despite its influence on the development of the field, convergence metaphysics has largely fallen out of favor as contemporary ethnobiologists tend to emphasize the locality and diversity of classificatory practices. The aim of this article (...) is twofold: First, I provide a historical account of the rise and fall of convergence metaphysics in ethnobiology. I show how convergence metaphysics emerged as an innovative theoretical program in the wake of the “cognitive revolution” and the “modern evolutionary synthesis” but failed to incorporate both theoretical insights and political concerns that gained prominence in the 1980s and 1990s. Second, I develop a positive proposal of how to engage with metaphysical issues in ethnobiology. By integrating traditional research on convergence of classifications with more nuanced accounts of distinctly local categories, a revamped metaphysics of ethnobiological classification can make substantial contributions to debates about ontological difference in anthropology and about the relation between applied and theoretical ethnobiology. (shrink)

Elimination controversies are ubiquitous in philosophy and the human sciences. For example, it has been suggested that human races, hysteria, intelligence, mental disorder, propositional attitudes such as beliefs and desires, the self, and the super-ego should be eliminated from the list of respectable entities in the human sciences. I argue that eliminativist proposals are often presented in the framework of an oversimplified “phlogiston model” and suggest an alternative account that describes ontological elimination on a gradual scale between criticism of empirical (...) assumptions and conceptual choices. (shrink)