Many ameliorative projects aim at moral goods such as social equality. For example, the amelioration of the concept MARRIAGE forms part of efforts to achieve equal rights for the LGBT+ community. What does implementation of such an ameliorated concept consist in? In this paper, I argue that, for some ameliorated concepts, successful implementation requires that individuals eschew semantic deference, at least with respect to relevant dimensions of the concept. My argument appeals to consideration of the aims of conceptual engineers (...) engaged in this type of ameliorative project: they seek conceptual change in order to contribute to the dismantling of oppressive social structures, institutions, and systems of belief. I argue that, for such aims to be achieved, it must be the case that individuals who come to endorse the concept do so for the right reasons---because they have gained an understanding of why the ameliorated concept is morally preferable to its ancestor. Once they have acquired such reasons, however, they are no longer correctly described as semantically deferential; they will treat moral reasons to employ the concept as overriding of semantic considerations. (shrink)

Conceptual engineers sometimes say they want to change what our words mean. If a certain kind of externalism is true, it might be nearly impossible to do that. For some of the external factors that determine meaning, like metaphysical naturalness or past usage, are not within our power to change. And if we can’t change what determines meaning, then we can’t change meaning. I argue that, if this sort of externalism is true, then conceptual engineers didn’t want to change what (...) our words mean anyway. And if they did, they could always engineer externalism out of the language, or engineer a new sense of ‘meaning’ which could be changed. So the truth of externalism does not pose a threat to the possibility of conceptual engineering. (shrink)

We present a search engine for mathematical formulae. The MathWebSearch system harvests the web for content representations of formulae and indexes them with substitution tree indexing. In version 0.4 we have parallelized and distributed the search server and augmented the web interface with a new JavaScript-based visual editor for content math formulae. Furthermore, we have extended the query language by generalization, variants, unification, and text search facilities, which can also be mixed. Our experiments show that this architecture results in a (...) scalable application. (shrink)

Recent research on human problem solving has largely focused on laboratory tasks that do not demand from the subject much prior, task‐related information. This study seeks to extend the theory of human problem solving to semantically richer domains that are characteristic of professional problem solving. We discuss the behavior of a single subject solving problems in chemical engineering thermodynamics. We use as a protocol‐encoding device a computer program called SAPA which also doubles as a theory of the subject's problem‐solving behavior. (...) The subject made extensive use of means‐ends analysis, similar to that observed in semantically less rich domains, supplemented by recognition mechanisms for accessing information in semantic memory. (shrink)

We present in this article a compression system that uses STEP compliant standards for the compression and design review visualization of large CAD data sets. Our approach is orthogonal to the traditional techniques applied in the field, as we complement previous works by introducing semantic criteria along with algorithms for the categorization, simplification and user-oriented adaptation of the engineering components described by domain-specific standards. As an example, we have implemented two test cases in two specific domains – ISO-STEP 13013-AP227 (...) in the case of industrial Plant Design, and CIS/2 in the case of Steel Detailing Design (Structures Design). (shrink)

Conceptual engineers seek to revise or replace the devices we use to speak and think. If this amounts to an effort to change what natural language expressions mean, conceptual engineers will have a hard time. It is largely unfeasible to change the meaning of e.g. ‘cause’ in English. Conceptual engineers may therefore seem unable to make the changes they aim to make. This is what I call ‘the implementation problem’. In this paper, I argue that the implementation problem dissolves if (...) we expand our view of how conceptual engineers could implement the products of their work. I describe four implementation options: Standing Meaning, Meaning Modulation, Speaker-Meaning and Different Language. I query the feasibility and worth of pursuing these options. Unless each option fails because it is unfeasible or not worthwhile, conceptual engineers do not face an implementation problem worth worrying about. I argue that some of the options are feasible and worthwhile, and therefore, that conceptual engineers do not face an implementation problem worth worrying about. (shrink)

Conceptual engineering is now a central topic in contemporary philosophy. Just 4-5 years ago it wasn’t. People were then engaged in the engineering of various philosophical concepts (in various sub-disciplines), but typically not self-consciously so. Qua philosophical method, conceptual engineering was under-explored, often ignored, and poorly understood. In my lifetime, I have never seen interest in a philosophical topic grow with such explosive intensity. The sociology behind this is fascinating and no doubt immensely complex (and an excellent case study for (...) those interested in the dynamics of academic disciplines). That topic, however, will have to wait for another occasion. Suffice it to say that if Fixing Language (FL) contributed even a little bit to this change of focus in philosophical methodology, it would have achieved one of its central goals. In that connection, it is encouraging that the papers in this symposium are in fundamental agreement about the significance and centrality of conceptual engineering to philosophy. That said, the goal of FL was not only to advocate for a topic, but also to defend a particular approach to it: The Austerity Framework. These replies have helped me see clearer the limitations of that view and points where my presentation was suboptimal. The responses below are in part a reconstruction of what I had in mind while writing the book and in part an effort to ameliorate. I’m grateful to the symposiasts for helping me get a better grip on these very hard issues. (shrink)

Max Deutsch has recently argued that conceptual engineering is stuck in a dilemma. If it is construed as the activity of revising the semantic meanings of existing terms, then it faces an unsurmountable implementation problem. If, on the other hand, it is construed as the activity of introducing new technical terms, then it becomes trivial. According to Deutsch, this conclusion need not worry us, however, for conceptual engineering is ill-motivated to begin with. This paper responds to Deutsch by arguing, (...) first, that there is a third construal of conceptual engineering, neglected by him, which renders it both implementable and non-trivial, and second, that even the more ambitious project of changing semantic meanings is no less feasible than other normative projects we currently pursue. Lastly, the value of conceptual engineering is defended against Deutsch’s objections. (shrink)

There is a lot of conceptual engineering going on in medical research. I substantiate this claim with two examples, the medical debate about cancer classification and about obesity as a disease I also argue that the proper target of conceptual engineering in medical research are experts’ conceptions. These are explicitly written down in documents and guidelines, and they bear on research and policies. In the second part of the chapter, I propose an externalist framework in which conceptions have both the (...) explanatory power of psychological concepts and that of semantic concepts. It is likely, however, that human activities and practices distinct from medical research, and regulated by different practices and epistemic rules, call for different targets for conceptual engineering. I conclude with indicating an open agenda of problems for philosophers of medicine interested in conceptual engineering. (shrink)

The classic programme of conceptual engineering (Cappelen, Herman. 2018. Fixing Language: An Essay on Conceptual Engineering. Oxford: Oxford University Press; Eklund, Matti. 2021. “Conceptual Engineering.” In The Routledge Handbook of Social and Political Philosophy of Language, edited by Justin Khoo, and Rachel Sterken, 15–30. London: Routledge) envisages a two-stage ameliorating process. First, we assess ‘F’ and determine what the term should express. Second, we bring it about that ‘F’ expresses what it should express. The second stage gives rise to a (...) practical challenge: the implementation challenge. Engineering advocates need to explain by what means they can implement specific conceptual changes in the natural language shared by a community – a feat Herman Cappelen (2018. Fixing Language: An Essay on Conceptual Engineering. Oxford: Oxford University Press, 2020; “Conceptual Engineering: The Master Argument.” In Conceptual Engineering and Conceptual Ethics, edited by Alexis Burgess, Herman Cappelen, and David Plunkett, 132–151. Oxford: Oxford University Press) argues to be beyond our understanding and control both on an externalist and on an internalist meta-semantics. I devise a new answer to the implementation challenge. Enlisting the influential theory of social norms by Cristina Bicchieri, I argue that engineering social norms in Bicchieri’s technical sense amounts to an effective, specific, and feasible means to implement specific conceptual change, at least on internalist premises. I also argue that Bicchieri’s social norms are an essential addition to the more familiar conventions and moral norms when it comes to conceptual engineering. (shrink)

According to Herman Cappelen’s Austerity Framework, conceptual engineering doesn’t involve concepts, and barely involves engineering. I begin by raising two objections to the Austerity Framework as it stands: the framework cannot account for important normative aspects of conceptual engineering; and it doesn’t give us an adequate response to Strawson-style objections that conceptual engineering serves only to change the subject. I then supplement the Austerity Framework with an account of semantic normativity, which builds on the speaker/semantic meaning distinction, and (...) show that so-supplemented the Austerity Framework successfully overcomes the two objections. I tentatively conclude that semantic normativity should play a key role in how we understand conceptual engineering. (shrink)

Unlike conceptual analysis, conceptual engineering does not aim to identify the content that our current concepts do have, but the content which these concepts should have. For this method to show the results that its practitioners typically aim for, being able to change meanings seems to be a crucial presupposition. However, certain branches of semantic externalism raise doubts about whether this presupposition can be met. To the extent that meanings are determined by external factors such as causal histories or (...) microphysical structures, it seems that they cannot be changed intentionally. This paper gives an extended discussion of this ‘externalist challenge’. Pace Herman Cappelen’s recent take on this issue, it argues that the viability of conceptual engineering crucially depends on our ability to bring about meaning change. Furthermore, it argues that, contrary to first appearance, causal theories of reference do allow for a sufficient degree of meaning control. To this purpose, it argues that there is a sense of what is called ‘collective long-range control’, and that popular versions of the causal theory of reference imply that people have this kind of control over meanings. (shrink)

One important activity in conceptual ethics and conceptual engineering involves proposing to associate a new semantics with an existing word. Many philosophers think that one important way to evaluate such a proposal concerns whether it preserves the “topic” picked out by the existing word, and several have offered competing proposals concerning what is required to preserve topic. Our paper is focused on the conceptual ethics question of how conceptual engineers should use the term ‘topic continuity’. We provide and defend a (...) context-sensitive answer to this question. Our answer is motivated by the idea that there are several distinct considerations that we can reasonably care about (and which many conceptual engineers already do care about) in thinking about “topic continuity”, and, moreover, that how best to weigh them against each other can vary from context to context. On our proposal, ‘topic continuity’ can function as a useful representational device that enables coordination by inquirers with respect to these concerns. We conclude by locating our account in a broader way of thinking about topic continuity across a range of inquiries. (shrink)

Conceptual engineering projects have been criticized for creating discontinuities of subject-matter and, as a result, discontinuities in inquiries: call this the Change of Subject objection. In this paper, I explore a way of dealing with the objection that clarifies its scope and eventually downplays it. First, two strategies aimed at saving subject-continuity are examined and found wanting: Herman Cappelen’s appeal to topics, and the account in terms of concept function. Second, the idea is introduced that one can begin an object-level (...) inquiry either with a ‘semantically conservative’ approach, whereby semantic change is not permitted, or with a ‘semantically progressive’ approach, whereby semantic change is permitted. This distinction helps one significantly downplay the Change of Subject objection. (shrink)

The use of highly abstract mathematical frameworks is essential for building the sort of theoretical foundation for semantic integration needed to bring it to the level of a genuine engineering discipline. At the same time, much of the work that has been done by means of these frameworks assumes a certain amount of background knowledge in mathematics that a lot of people working in ontology, even at a fairly high theoretical level, lack. The major purpose of this short paper (...) is provide a (comparatively) simple model of semantic integration that remains within the friendlier confines of first-order languages and their usual classical semantics and logic. (shrink)

What is the relationship between conceptual engineering and metasemantic externalism? Sally Haslanger has argued that metasemantic externalism justifies the seemingly counterintuitive consequences of her proposed conceptual revisions. But according to Herman Cappelen, metasemantic externalism makes conceptual engineering effectively impossible in practice. After raising objections to Haslanger’s and Cappelen’s views, I argue for a very different picture, on which metasemantic externalism bears very little on conceptual engineering. I argue that, while metasemantic externalism principally operates at the level of semantic-meaning, we (...) should understand conceptual engineering to operate largely at the level of speaker-meaning. This ‘Speaker-Meaning Picture’ has two key benefits. Firstly, it makes conceptual engineering often easy in practice. Secondly, it suggests a new, normative response to the well known objection that conceptual engineering serves only to change the subject. (shrink)

This is the first interdisciplinary exploration of the philosophical foundations of the Web, a new area of inquiry that has important implications across a range of domains. -/- Contains twelve essays that bridge the fields of philosophy, cognitive science, and phenomenology Tackles questions such as the impact of Google on intelligence and epistemology, the philosophical status of digital objects, ethics on the Web, semantic and ontological changes caused by the Web, and the potential of the Web to serve as (...) a genuine cognitive extension Brings together insightful new scholarship from well-known analytic and continental philosophers, such as Andy Clark and Bernard Stiegler, as well as rising scholars in "digital native" philosophy and engineering Includes an interview with Tim Berners-Lee, the inventor of the Web. (shrink)

On a representationalist view, conceptual engineering is the practice of changing the extensions and intensions of the devices we use to speak and think. But if this view holds true, conceptual engineering has a bad rationale. Extensions and intensions are not the sorts of things that are better or worse as such. A representationalist account of conceptual engineering thus falls prey to the objection that the practice has a bad rationale. To account for the assumption that conceptual engineering is worthwhile, (...) we propose to view what is being engineered as inferential devices, as opposed to representational devices. The objective is not to establish that being or having an inferential role is all there is to meaning or conceptual content. Rather, our agenda is to recommend a shift of focus from the representational features of content to the inferential features of content for the purposes of doing and thinking about conceptual engineering. Inferentialism about conceptual engineering makes better sense of the practice than a representationalist approach: In addition to accounting for the rationality of engaging in conceptual engineering, inferentialism provides a sound interpretation of what is at stake in concrete examples of conceptual engineering. (shrink)

Conceptual engineering is the process of assessing and improving our conceptual repertoire. Some authors have claimed that introducing or revising concepts through conceptual engineering can go as far as expanding the realm of thinkable thoughts and thus enable us to form beliefs, hypotheses, wishes, or desires that we are currently unable to form. If true, this would allow conceptual engineers to contribute to solving stubborn problems – problems that cannot be solved with our current ways of thinking. We call this (...) kind of conceptual engineering heavy-duty conceptual engineering. As exciting as the idea of heavy-duty conceptual engineering sounds, it has never been developed or defended. In this paper, we pursue a two-fold goal. First, to offer a theory of heavy-duty conceptual engineering that distinguishes it from other kinds of conceptual engineering; second, to show that heavy-duty conceptual engineering is possible, both in theory and in practice, and to explain how it can be applied in the service of solving stubborn problems. The central idea is that heavy-duty conceptual engineering can enhance the semantic expressive power of a conceptual system by the use of bootstrapping processes. (shrink)

The description of named entities in terminological knowledge bases has never been addressed in any depth in terminology. Firm preconceptions, rooted in philosophy, about the only referential function of proper names have presumably led to disparage their inclusion in terminology resources, despite the relevance of named entities having been highlighted by prominent figures in the discipline of terminology. Scholars from different branches of linguistics depart from the conservative stance on proper names and have foregrounded the need for a novel approach, (...) more linguistic than philosophical, to describing proper names. Therefore, this paper proposed a linguistic and terminological approach to the study of named entities when used in scientific discourse, with the purpose of representing them in EcoLexicon, an environmental knowledge base designed according to the premises of Frame-based Terminology. We focused more specifically on named rivers mentioned in a coastal engineering corpus. Inclusion of named entities in terminological knowledge bases requires analyzing the context that surrounds them in specialized texts because these contexts convey specialized knowledge about named entities. For the semantic representation of context, this paper thus analyzed the local syntactic and semantic contexts that surrounded potamonyms in coastal engineering texts and described the semantic annotation of the predicate-argument structure of sentences where a potamonym was mentioned. The semantic variables annotated were the following: semantic category of the arguments; semantic role of the arguments; semantic relation between the arguments; and lexical domain of the verbs. This method yielded valuable insight into the different semantic roles that named rivers played, the entities and processes that participated in the events educed by potamonyms through verbs, and how they all interacted. Furthermore, since arguments are specialized terms and verbs are relational constructs, the analysis of argument structure led to the construction of semantic networks that depicted specialized knowledge about named rivers. These conceptual networks were then used to craft the thematic description of potamonyms. Accordingly, the semantic network and the thematic description not only constituted the representation of a potamonym in EcoLexicon, but also allowed the geographic contextualization of specialized concepts in the terminological resource. (shrink)

As engineering applications require management of ever larger volumes of data, ontologies offer the potential to capture, manage, and augment data with the capability for automated reasoning and semantic querying. Unfortunately, considerable barriers hinder wider deployment of ontologies in engineering. Key among these is lack of a shared top-level ontology to unify and organise disparate aspects of the field and coordinate co-development of orthogonal ontologies. As a result, many engineering ontologies are limited to their scope, and functionally difficult to (...) extend or interoperate with other engineering ontologies. This paper demonstrates how the use of a top-level ontology, specifically the Basic Formal Ontology (BFO), greatly facilitates interoperability of multiple engineering-related ontologies. We constructed a system of formal linked ontologies by re-engineering legacy ontologies to be conformant with BFO and developing new BFO-conformant ontologies to capture knowledge in the engineering design, enterprise, human factors, manufacturing, and application domain of additive manufacturing. The resulting Integrated Framework for Additively Manufactured Products (IFAMP), including the body knowledge instantiated on its basis, serve as the basis for a proposed Design with Additive Manufacturing Method (DWAM), which we believe can support the design of innovative products with semantically enhanced ideation tools and enhanced access to application domain knowledge. The method and its facilitation through the ontological framework are demonstrated using a case study in medicine. (shrink)

The paper develops some of the conclusions, reached in Floridi (2007), concerning the future developments of Information and Communication Technologies (ICTs) and their impact on our lives. The two main theses supported in that article were that, as the information society develops, the threshold between online and offline is becoming increasingly blurred, and that once there won't be any significant difference, we shall gradually re-conceptualise ourselves not as cyborgs but rather as inforgs, i.e. socially connected, informational organisms. In this paper, (...) I look at the development of the so-called Semantic Web and Web 2.0 from this perspective and try to forecast their future. Regarding the Semantic Web, I argue that it is a clear and well-defined project, which, despite some authoritative views to the contrary, is not a promising reality and will probably fail in the same way AI has failed in the past. Regarding Web 2.0, I argue that, although it is a rather ill-defined project, which lacks a clear explanation of its nature and scope, it does have the potentiality of becoming a success (and indeed it is already, as part of the new phenomenon of Cloud Computing) because it leverages the only semantic engines available so far in nature, us. I conclude by suggesting what other changes might be expected in the future of our digital environment. (shrink)

Conceptual Engineering, the practice of stipulating a change in the meaning of a word in order to improve it in some fashion, for some end, has proved a popular topic among philosophers of language in recent times. Deutsch (Philos Stud 177:3935–3957, 2020) has argued that it has received an undue degree of interest since its implementation falls onto one of the horns of a dilemma: either the change to be effected is in the global semantic meaning of the given (...) word/concept, in which case it is infeasible, or it is merely in the local speaker-meaning, in which case it is largely trivial. I suggest, however, that there is a deeper, more troubling, objection to Conceptual Engineering. My criticism does not strictly take the form of a dilemma, since some cases may fall upon both horns at once and others may be able to squeeze through the gap, but it does involve highlighting two potential weaknesses of the project: one of those, as with Deutsch, is the danger of triviality, although it is not concerned only with the division between semantic and speaker meaning. It seems clear that there are cases where a particular authority or legislature has the capacity to alter a word’s legal meaning; others where certain groups may discuss the best way to use a technical term, each putting forward their preferred suggestions; and individual speakers are at liberty to choose to use a word with a particular intention. None of this is new, nor controversial, and, thus, is largely trivial. In all cases, but particularly where meanings are manipulated without due authority, inexplicitly, or in order to further a particular theoretical conception, however, there is a strong chance that the engineer will be led to commit one of the fallacies of language to which philosophy is particularly vulnerable (Hinton Evaluating the language of argument, Springer, Cham, 2021). These include fallacies of vagueness, equivocation, and persuasive definition. In this paper, I use examples to illustrate the likely fallaciousness of conceptual redefinitions and highlight in particular the ‘Philosophical Fallacy’, outlined by Nelson (A theory of philosophical fallacies.Translated by Leal F, Carus D. Springer, Cham 2016). I conclude that, as a method for philosophers, Conceptual Engineering is, in broad terms, either trivial or fallacious. (shrink)

This article provides a semantic reading of Tracy Llanera's brilliant book Richard Rorty: Outgrowing Modern Nihilism. Llanera is reframing the debate of how to react to the malaise of modern nihilism by proposing a change of metaphor: instead of trying to “overcome” nihilism, we should try to “outgrow” nihilism. This article invites Llanera to shed more light on her project with respect to the semantic categories of realism and representationalism, and with respect to the growing field of conceptual (...) engineering. Can Llanera's project be fruitfully understood as engineering the concepts of “transcendence” and “redemption”? How much of the project hangs on the idea that language does not represent but is rather a tool that helps us fulfill our varying needs? How neat is the entanglement of semantic and existential meaning? (shrink)

Conceptual engineering is to be explained by appeal to the externalist distinction between concepts and conceptions. If concepts are determined by non-conceptual relations to objective properties rather than by associated conceptions (whether individual or communal), then topic preservation through semantic change will be possible. The requisite level of objectivity is guaranteed by the possibility of collective error and does not depend on a stronger level of objectivity, such as mind-independence or independence from linguistic or social practice more generally. This (...) means that the requisite level of objectivity is exhibited not only by natural kinds, but also by a wide range of philosophical kinds, social kinds and artefactual kinds. The alternative externalist accounts of conceptual engineering offered by Herman Cappelen and Derek Ball fall back into a kind of descriptivism which is antithetical to externalism and fails to recognise this basic level of objectivity. (shrink)

Much research on intelligent systems has concentrated on low level mechanisms or sub-systems of restricted functionality. We need to understand how to put all the pieces together in an *architecture* for a complete agent with its own mind, driven by its own desires. A mind is a self-modifying control system, with a hierarchy of levels of control, and a different hierarchy of levels of implementation. AI needs to explore alternative control architectures and their implications for human, animal, and artificial minds. (...) Only within the framework of a theory of actual and possible architectures can we solve old problems about the concept of mind and causal roles of desires, beliefs, intentions, etc. The high level ``virtual machine'' architecture is more useful for this than detailed mechanisms. E.g. the difference between connectionist and symbolic implementations is of relatively minor importance. A good theory provides both explanations and a framework for systematically generating concepts of possible states and processes. Lacking this, philosophers cannot provide good analyses of concepts, psychologists and biologists cannot specify what they are trying to explain or explain it, and psychotherapists and educationalists are left groping with ill-understood problems. The paper sketches some requirements for such architectures, and analyses an idea shared between engineers and philosophers: the concept of ``semantic information''. (shrink)

Increasing computational power and improving deep learning methods have made computer vision technologies pervasively common in urban environments. Their applications in policing, traffic management, and documenting public spaces are increasingly common (Ridgeway 2018, Coifman et al. 1998, Sun et al. 2020). Despite the often-discussed biases in the algorithms' training and unequally borne benefits (Khosla et al. 2012), almost all applications similarly reduce urban experiences to simplistic, reductive, and mechanistic measures. There is a lack of context, depth, and specificity in these (...) practices that enables semantic knowledge or analysis within urban contexts, especially within the context of using and occupying urban space. This paper will critique existing uses of artificial intelligence and computer vision in urban practices to propose a new framework for understanding people, action, and public space. This paper revisits Geertz's (1973) use of thick descriptions in generating interpretive theories of culture and activity and uses this lens to establish a framework to approach evaluating the varied uses of computer vision technologies that weigh meaning. By discussing cases of implemented examples of urban computer vision—from LinkNYC and Numina's urban measurements to the Detroit Police's use of DataWorks Plus's facial recognition technology—it proposes a framework for evaluating the thickness of the algorithm's conclusions against the computational method's complexity required to produce that outcome. Further, we discuss how the framework's positioning may differ (and conflict) between different users of the technology, from engineer to urban planner and policymaker, to citizen. This paper also discusses how the current use and training of deep learning algorithms and how this process limits semantic learning and proposes three potential methodologies toward gaining a more contextually specific, urban-semantic, description of urban space relevant to urbanists. This paper contributes to the critical conversations regarding the proliferation of artificial intelligence by challenging the current applications of these technologies in the urban environment by highlighting their failures within this context while also proposing an evolution of these algorithms that may ultimately make them sensitive and useful within this spatial and cultural milieu. (shrink)

This thesis is an attempt to provide an account of gender. In particular, it is an attempt to develop an ameliorative approach to gender that satisfies a number of transfeminist political goals. That is, following Sally Haslanger, I ask what do we want gender to be? In order to answer the question, I develop a novel Neurathian methodology for conceptual engineering, and a distinctively ‘activist’ take on that project. From there I criticise a number of theories of gender and suggest (...) that we should instead adopt a position I call Ameliorative Semantic Pluralism. That is, a position that endorses multiple meanings for gender terms. I develop this position in conversation with those traditions that arose from the anti-essentialism debates of the 1990s – family resemblance theories, Butlerian performativity, deflationism, scepticism, and nihilism about gender. I provide novel critiques of each position but take seriously the concerns that each position had. I end the thesis by drawing on Audre Lorde to engineer one of the senses of the term ‘agender’ that speaks to my phenomenology, before using that account to critique some further recent attempts to theorise nonbinary gender identities. (shrink)

One way of explaining Rudolf Carnap’s mature philosophical view is by drawing an analogy between his technical projects—like his work on inductive logic—with a certain kind of conceptual engineering. After all, there are many mathematical similarities between Carnap’s work in inductive logic and a number of results from contemporary confirmation theory, statistics and mathematical probability theory. However, in stressing these similarities, the conceptual dependence of Carnap’s inductive logic on his work on semantics is downplayed. Yet it is precisely the conceptual (...) resources made available to Carnap from his work on semantics which allows him to understand his work on inductive logic as a kind of conceptual engineering project. The aim of this paper is to elucidate this engineering analogy in light of Carnap’s mature views through the lens of both inductive logic and semantics. (shrink)

Semantic analysis of contemporary philosophical inquiry is the core problem, and Quine is undoubtedly in the twentieth century conducted to explore the semantic engineering裡arduous, the most influential of modern thinkers. However, although the impact of Quine's great, he semantics regardless of the stance taken by the natural person has not yet been fully satisfied instruction understanding. On the one hand, the based on Quine's controversial idea of the uncertainty, scholars widely believe that regardless Quine's stance is a natural (...) suspicion regardless of extreme stance: the meaning of the word does not exist. On the other hand, Quine in the construction regardless of its license, but to take a natural tendency to analyze the nature of the so-called "stimulus word meaning" future language sentences as the core foundation of semantics. Thus, Quine's semantic natural stance regardless what is a semantic canceled regardless, have a language or meaning regardless of the orientation of some, not very clear. This paper has two purposes: First, the author regardless above, Quine's natural regardless stance in a number of philosophers to cancel regardless positioning, is the station does not live foot stance; Second, in the text, based on Quine's natural regardless stance can be is portrayed as some kind of weaker version of about regardless, and this stance is more feasible. The investigation of linguistic meaning has been central in contemporary analytic philosophy. Quine is undoubtedly one of the most influential thinkers in the 20 century in this daunting inquiry. Despite his enormous influence, however, Quine's naturalistic perspective on meaning has not been properly understood. On the one hand, Quine's view, presented in the controversial indeterminacy thesis, is widely taken as a radical form of skepticism, namely, meaning does not exist. On the other hand, Quine invokes and heavily relies on the notion of disposition to analyze the idea of ​​stimulus meaning, which lies at the heart of Quine's discussion of linguistic meaning. It does not seem entirely clear whether Quine attempts to eliminate meaning, or to naturalize meaning by reducing it to dispositions. The aim of this paper is argue for two points. First, construing Quine's position as semantic eliminativism, as many do, Quine's position would be in deep trouble. Second, based on a textual basis, Quine's position can be alternatively construed as a modest form of dispositional reductionism, which is more tenable. (shrink)

In this paper, I argue that an adequate meta-semantic framework capable of accommodating the range of projects currently identified as projects in conceptual engineering must be sensitive to the fact that concepts (and hence projects relating to them) fall into distinct kinds. Concepts can vary, I will argue, with respect to their direction of determination, their modal range, and their temporal range. Acknowledging such variations yields a preliminary taxonomy of concepts and generates a meta-semantic framework that allows us (...) both to accommodate the full range of cases and to identify a proper subset of concepts for special ameliorative consideration. Ignoring such variations, in contrast, leads to a restricted meta-semantic framework that accommodates only a subset of the particular projects while generating implausible accounts of others. (shrink)

Although ontologies occupy a central place in the Semantic Web and related research domains, there are currently not many fully fledged ontology engineering methodologies available. In this paper,...

We argue for an intimate relation between semantic externalism and semantic deference and propose a typology of speakers’ metasemantic views as revealed by their deferential attitudes. Building on this typology, we then offer a classification of metasemantic disagreements understood as verbal disputes between speakers who (consciously or unconsciously) hold divergent metasemantic views about the same word. In particular, we distinguish lower-order metasemantic disagreements between speakers who disagree on the exact source of meaning determination for a word yet agree (...) on the kind of deferential attitude this word is liable to, from higher-order metasemantic disagreements between speakers who do not even agree on the suitable kind of deferential attitude. We demonstrate the fruitfulness of our classification through the concrete implications it has for conceptual engineering. (shrink)

We commonly evaluate search engines and the results they return, but what grounds those evaluations? One straightforward way of evaluating search engines appeals to their ability to satisfy the goals of the user. Are there, in addition, user-independent norms, that allow us to evaluate search engines in ways that may come apart from their ability to satisfy the individuals who use them? One way of grounding such norms appeals to moral or political considerations. I argue that in (...) addition to those norms, there are also distinct user-independent epistemic norms that apply to search engines. Evaluating search engines relative to them, however, requires us to appreciate the impact search engines have on our practices and norms of inquiry more broadly: by systematically altering the accessibility of information, search engines don’t just give us information but shape our collective imagination, and the categories it operates over. (shrink)

Building on Wittgenstein’s ideas, I defend a brand of pluralism that associates words with conceptual families and appeals to this notion in the course of philosophical problem solving. I argue that certain problems that the received view of conceptual engineering (‘improvement by replacement’) faces can be more easily overcome if we adopt a pluralist perspective. I show that the proposed approach can circumvent the problem of topic discontinuity, whilst also avoiding the threat of trivialisation, since it can easily accommodate both (...) coarse-grained and fine-grained topics. Finally, I argue that my variant of pluralism is compatible with de novo conceptual engineering insofar as it allows that the paradigm associated with a word may shift overtime thus creating an opportunity for new candidate members to join a conceptual family. (shrink)

Software application ontologies have the potential to become the keystone in state-of-the-art information management techniques. It is expected that these ontologies will support the sort of reasoning power required to navigate large and complex terminologies correctly and efficiently. Yet, there is one problem in particular that continues to stand in our way. As these terminological structures increase in size and complexity, and the drive to integrate them inevitably swells, it is clear that the level of consistency required for such navigation (...) will become correspondingly difficult to maintain. While descriptive semantic representations are certainly a necessary component to any adequate ontology-based system, so long as ontology engineers rely solely on semantic information, without a sound ontological theory informing their modeling decisions, this goal will surely remain out of reach. In this paper we describe how Language and Computing nv (L&C), along with The Institute for Formal Ontology and Medical Information Sciences (IFOMIS), are working towards developing and implementing just such a theory, combining the open software architecture of L&C’s LinkSuiteTM with the philosophical rigor of IFOMIS’s Basic Formal Ontology. In this way we aim to move beyond the more or less simple controlled vocabularies that have dominated the industry to date. (shrink)

We address what is still a scarcity of general mathematical foundations for ontology-based semantic integration underlying current knowledge engineering methodologies in decentralised and distribut...

This paper attempts to characterise a unifying overview of the practice of software engineers, AI designers, developers of evolutionary forms of computation, designers of adaptive systems, etc. The topic overlaps with theoretical biology, developmental psychology and perhaps some aspects of social theory. Just as much of theoretical computer science follows the lead of engineering intuitions and tries to formalise them, there are also some important emerging high level cross disciplinary ideas about natural information processing architectures and evolutionary mechanisms and that (...) can perhaps be unified and formalised in the future. There is some speculation about the evolution of human cognitive architectures and consciousness. (shrink)

In the realm of meaning, what territory belongs to pragmatics, and what to semantics? The paper defends the primacy of semantics; it is semanticist rather than pragmaticist. The vehicle of content is primarily semantic, and is run by its ‘semantic engine’ so to speak. But what about problematic examples? Some authors proposes an extreme pan-semanticist answer: their semantic content is complete, since it relies on the convention pointing to what speaker “has in mind”. The semantic vehicle (...) is complete, pragmatics offers just lining and paint. The opposite extreme is Bach’s proposal that semantics encompasses only the “skeleton”, often not truth-conditional.The present paper defends an intermediate semanticist position: semantic content provides the guidance to truth-conditions, the rest is pragmatics. Call this “the guidance view”. In terms of vehicle metaphor, semantic content provides and directs the main force, it is the powertrain of the vehicle. The paper assumes that anaphora is semantic, shows that anaphora guides the hearer in determining the truth-conditional content, and argues that most problematic cases are anaphora-like: this concludes the defense of our guidance view. (shrink)

Dept of Business Administration Dept of Computer and Knowledge Systems Group University of Patras Information Science School of Computer Science 265 00 Patras, Greece Brooklyn College of the and Engineering [email protected] City University of New York University of New South Wales Brooklyn, NY 11210, USA Sydney, NSW 2052, Australia [email protected] [email protected]..

In this article we discuss what constitutes a good choice of semantic representation, compare different approaches of constructing semantic representations for fragments of natural language, and give an overview of recent methods for employing inference engines for natural language understanding tasks.

This package provides an infrastructure for semantically enhanced requirements specifications used in software engineering. This allows to embed structural information into documents that can be used by semantic document managment systems e.g. for management of change and requirements tracing.

Artificial intelligence and robots may progressively take a more and more prominent place in our daily environment. Interestingly, in the study of how humans perceive these artificial entities, science has mainly taken an anthropocentric perspective (i.e., how distant from humans are these agents). Considering people’s fears and expectations from robots and artificial intelligence, they tend to be simultaneously afraid and allured to them, much as they would be to the conceptualisations related to the divine entities (e.g., gods). In two experiments, (...) we investigated the proximity of representation between artificial entities (i.e., artificial intelligence and robots), divine entities and natural entities (i.e., humans and other animals) at both an explicit (Study 1) and an implicit level (Study 2). In the first study, participants evaluated these entities explicitly on positive and negative attitudes. Hierarchical clustering analysis showed that participants’ representation of artificial intelligence, robots and divine entities were similar, while the representation of humans tended to be associated with that of animals. In the second study, participants carried out a word/non-word decision task including religious semantic-related words and neutral words after the presentation of a masked prime referring to divine entities, artificial entities and natural entities (or a control prime). Results showed that after divine and artificial entity primes, participants were faster to identify religious words as words compared to neutral words arguing for a semantic activation. We conclude that people make sense of the new entities by relying on already familiar entities and in the case of artificial intelligence and robots, people appear to draw parallels to divine entities. (shrink)