The structure of everyday communication reflects metaphorical thinking. People speak about the presence or absence of problems in terms of weather. Problems appear in every¬day life and so does the weather topic. Bad weather often evokes sadness, therefore it can be to said to constitute a problem; similarly, good weather is often equated with cheerful mood. Thus, in view of the above analysis, weather can be seen as an im¬portant experiential basis for conceptual metaphors.

Between the later views of Wittgenstein and those of connectionism on the subject of the mastery of language there is an impressively large number of similarities. The task of establishing this claim is carried out in the second section of this paper.

On the basis of a revision of the real dynamics of Greek poiesis and autopoiesis as evolutionary processes of meaning and knowledge-of-the-World evaluative-construction, Cognitive Poetics proposes key philological, ontological and cultural adjustments to improve our understanding of thought, conceptual activity, and the origins and social nature of language. It searches for an integrated theory of social problems in general Cognitive Science: from Linguistics or Psychology, through Anthropology, Neurophilosophy or Literary Studies, to Neurobiology or Artificial Life Sciences. From an essential turn (...) to the real thing, cognition as (social) action, it provides new unforeseen accounts of the complex dynamics of human essentially creative understanding studying and analyzing all form of texts as active fossils as mentils (Guerra 2009). (shrink)

In this study, we investigate the conceptual structure of the metaphor “SIMILARITY IS PROXIMITY.” The results of four experiments suggest a tight mental link between similarity and proximity. Two experiments revealed that people judge entities to be more similar to each other when they are placed closely in space, while two other experiments showed that entities are judged to be closer to each other when they are thought to be more similar. We discuss this bidirectional metaphor transfer effect in light (...) of approaches to metaphor understanding, including the long-standing view that metaphorical mappings are assumed to be asymmetrical. We also consider the implications of this bi-directional mapping for high level cognition. (shrink)

Some have argued that the vagueness exhibited by geographic names and descriptions such as ‘Albuquerque’, ‘the Outback’, or ‘Mount Everest’ is ultimately ontological: these terms are vague because they refer to vague objects, objects with fuzzy boundaries. I take the opposite stand and hold the view that geographic vagueness is exclusively semantic, or conceptual at large. There is no such thing as a vague mountain. Rather, there are many things where we conceive a mountain to be, each with its precise (...) boundary, and when we say ‘Everest’ we are just being vague as to which thing we are referring to. This paper defends this view against some plausible objections. (shrink)

Metaphor plays a unique role in cognitive development by structuring abstract concepts and leading to conceptual change. Existing work suggests early emergence of metaphorical abilities, with five-year-olds understanding and explaining metaphors that involve cross-domain comparisons (e.g., SPACE to TIME). Yet relatively little is known about the factors that explain this developmental change. This study focuses on spatial metaphors for time, and asks whether cognitive and/or verbal factors best explain developmental changes in three- to six-year-old children's comprehension and explanation of metaphors. (...) The results show that children's grasp of the time concept—but not verbal ability—predicts their metaphor comprehension. Verbal ability, on the other hand, is a predictor of metaphor explanation, even after controlling for age. The results thus suggest that cognitive and verbal factors selectively predict children's emerging metaphorical abilities. (shrink)

Common sense is on the one hand a certain set of processes of natural cognition - of speaking, reasoning, seeing, and so on. On the other hand common sense is a system of beliefs (of folk physics, folk psychology and so on). Over against both of these is the world of common sense, the world of objects to which the processes of natural cognition and the corresponding belief-contents standardly relate. What are the structures of this world? How does the scientific (...) treatment of this world relate to traditional and contemporary metaphysics and formal ontology? Can we embrace a thesis of common-sense realism to the effect that the world of common sense exists uniquely? Or must we adopt instead a position of cultural relativism which would assign distinct worlds of common sense to each group and epoch? The present paper draws on recent work in computer science (especially in the fields of naive and qualitative physics), in perceptual and developmental psychology, and in cognitive anthropology, in order to consider in a new light these and related questions and to draw conclusions for the methodology and philosophical foundations of the cognitive sciences. (shrink)

Category-based induction is an inferential mechanism that uses knowledge of conceptual relations in order to estimate how likely is for a property to be projected from one category to another. During the last decades, psychologists have identified several features of this mechanism, and they have proposed different formal models of it. In this article; we propose a new mathematical model for category-based induction based on distances on conceptual spaces. We show how this model can predict most of the properties of (...) this kind of reasoning while providing a solid theoretical foundation for it. We also show that it subsumes some of the previous models proposed in the literature and that it generates new predictions. (shrink)

Amie Thomasson’s work provides numerous ways to rethink and improve our approach to metaphysics. This chapter is my attempt to begin to sketch why I still think the easy approach leaves room for substantive metaphysical work, and why I do not think that metaphysics need rely on any ‘epistemically metaphysical’ knowledge. After distinguishing two possible forms of deflationism, I argue that the easy ontologist needs to accept (implicitly or explicitly) that there are worldly constraints on what sorts of entities could (...) exist, and could co-exist. I argue this leaves room for a substantive role for metaphysics if (following the work of E.J. Lowe) we take metaphysics to be concerned with the possible ways that reality could be. I explain how this conception does not need to appeal to any ‘epistemically metaphysical’ knowledge, and need only make use of conceptual and/or empirical means to arrive at views on what could exist (and co-exist). Thus, the answer I propose to the question posed in the title, at least in my view, is no-one. Or, at least, no-one should be afraid of conceptual analysis. Not even metaphysicians. (shrink)

This article explores the domain of legal analysis and its methodologies, emphasising the significance of generalisation in legal systems. It discusses the process of generalisation in relation to legal concepts and the development of ideal concepts that form the foundation of law. The article examines the role of logical induction and its similarities with semantic generalisation, highlighting their importance in legal decision-making. It also critiques the formal-deductive approach in legal practice and advocates for more adaptable models, incorporating fuzzy logic, non-monotonic (...) defeasible reasoning, and artificial intelligence. The potential application of neural networks, specifically deep learning algorithms, in legal theory is also discussed. The article discusses how neural networks encode legal knowledge in their synaptic connections, while the syllogistic model condenses legal information into axioms. The article also highlights how neural networks assimilate novel experiences and exhibit evolutionary progression, unlike the deductive model of law. Additionally, the article examines the historical and theoretical foundations of jurisprudence that align with the basic principles of neural networks. It delves into the statistical analysis of legal phenomena and theories that view legal development as an evolutionary process. The article then explores Friedrich Hayek’s theory of law as an autonomous self-organising system and its compatibility with neural network models. It concludes by discussing the implications of Hayek’s theory on the role of a lawyer and the precision of neural networks. (shrink)

(1) An introduction to the principles of conceptual modelling, combinatorial heuristics and epistemological history; (2) the examination of a number of perennial epistemological-methodological schemata: conceptual spaces and blending theory; ars inveniendi and ars demonstrandi; the two modes of analysis and synthesis and their relationship to ars inveniendi; taxonomies and typologies as two fundamental epistemic structures; extended cognition, cognitio symbolica and model-based reasoning; (3) Plato’s notions of conceptual spaces, conceptual blending and hypothetical-analogical models (paradeigmata); (4) Ramon Llull’s concept analysis and combinatoric (...) spaces; (5) Gottfried Leibniz’s development of compositional analysis and synthesis as a general modelling method and a paradigm for ars inveniendi; (6) Fritz Zwicky’s revival of the morphological method of analysis and construction, and its subsequent computerised applications. (shrink)

The current paper expands on previous work done on the influence of learners’ language and preexisting knowledge on understanding physics terminology by exploring the concept of ACCELERATION in Arabic and English. The study attempts to answer two questions: (1) what are the similarities and differences between the polysemy of Arabic تَسَارُع (tasāruʿ) (acceleration) and the polysemy of English acceleration, and (2) to what extent do prototypes and factors motivating the conceptualization of تَسَارُع (tasāruʿ) and the conceptualization of acceleration converge or (...) diverge? To this end, Arabic and English dictionaries and corpora, the ArabiCorpus (Arabic Corpus Search Tool) and the British National Corpus (BNC), were employed. The dictionaries were surveyed to explore the various meanings of تَسَارُع (tasāruʿ) and acceleration, while the ArabiCorpus and the BNC were employed to investigate the senses and to identify the most frequent collocates and so the prototypes of these terms. The meaning extension of the terms is examined on the basis of the cognitive mechanisms which appear in the corpora. Theoretically, the paper is informed by the prototype theory (Rosch, 1973; 1975), image schemas (Johnson, 1987), and conceptual metaphor (Lakoff & Johnson, 1980/2003). The results show that تَسَارُع (tasāruʿ) (acceleration) and acceleration generally overlap in terms of polysemy, prototype, and images schemas as well as conceptual metaphor that organize the conceptualization of these terms. It was also found that both Arab and English speakers mix ACCELERATION up with SPEED and so misunderstand them in a scientific setting. The present findings have several implications for science curriculum design, education, and research on universal and culture-specific properties of language. (shrink)

Despite the wide range of studies on how students’ past knowledge influences their understanding of scientific terminology, few studies were conducted to compare non-scientific language with scientific language, or rather everyday language with scientific language, from a cognitive linguistic perspective. The present paper aims to determine the cognitive mechanisms, i.e., image schemas, conceptual metaphor, and conceptual metonymy, which underpin the conceptualisation of the Arabic term سرعة (speed), using a conceptual metaphor theory framework. Thus, the research question guiding this study is: (...) What cognitive mechanisms underlie the concept of سرعة (speed) in Arabic? The findings of this study will shed light on how Arab speakers conceptualise this term, demonstrating their background knowledge of the term compared to its scientific meaning. The article adds to the growing body of cognitive linguistics research on the conceptual processes behind physics terms. The data was collected from the Arabic Web Corpus (arTenTen) using the Sketch Engine. The findings demonstrated that VERTICATLITY and SCALE schemas are the most dominant image schemas that anchor the conceptual meaning in Arab speakers’ perceptions of the term under investigation and the discourse in which it is employed, as well as offer the concrete basis for conceptual metaphors. The conceptual metaphor CHANGE IS MOTION (LOCATION) was also shown to be active in motivating the conception of SPEED in Arabic. (shrink)

This chapter introduces and discusses the concepts of necessary and sufficient conditions.

The notion of Simulative Reasoning in the study of propositional attitudes within Artificial Intelligence (AI) is strongly related to the Simulation Theory of mental ascription in Philosophy. Roughly speaking, when an AI system engages in Simulative Reasoning about a target agent, it reasons with that agent’s beliefs as temporary hypotheses of its own, thereby coming to conclusions about what the agent might conclude or might have concluded. The contrast is with non-simulative meta-reasoning, where the AI system reasons within a detailed (...) theory about the agent’s (conjectured) reasoning acts. The motive within AI for preferring Simulative Reasoning is that it is more convenient and efficient, because of a simplification of the representations and reasoning processes. The chapter discusses this advantage in detail. It also sketches the use of Simulative Reasoning in an AI natural language processing system, ATT-Meta, that is currently being implemented. This system is directed at the understanding of propositional attitude reports. In ATT-Meta, Simulative Reasoning is yoked to a somewhat independent set of ideas about how attitude reports should be treated. Central here are the claims that (a) speakers often employ commonsense (and largely metaphorical) models of mind in describing agents’ attitudes, (b) the listener accordingly needs often to reason within the terms of such models, rather than on the basis of any objectively justifiable characterization of the mind, and (c) the commonsense models filter the suggestions that Simulative Reasoning comes up with concerning target agents’ reasoning conclusions. There is a yet tighter connection between the commonsense models and the Simulative Reasoning. It turns out that Simulative Reasoning can be rationally reconstructed in terms of a more general type of reasoning about the possibly-counterfactual “world” that the target agent believes in, together with an assumption that that agent has a faithful representation of the world. In the ATT-Meta approach, the reasoner adopts that assumption when it views the target agent through a particular commonsense model (called IDEAS-AS-MODELS). (shrink)

In this paper, I develop an essentialist model of the semantics of slurs. I defend the view that slurs are a species of kind terms: Slur concepts encode mini-theories which represent an essence-like element that is causally connected to a set of negatively-valenced stereotypical features of a social group. The truth-conditional contribution of slur nouns can then be captured by the following schema: For a given slur S of a social group G and a person P, S is true of (...) P iff P bears the “essence” of G—whatever this essence is—which is causally responsible for stereotypical negative features associated with G and predicted of P. Since there is no essence that is causally responsible for stereotypical negative features of a social group, slurs have null-extension, and consequently, many sentences containing them are either meaningless or false. After giving a detailed outline of my theory, I show that it receives strong linguistic support. In particular, it can account for a wide range of linguistic cases that are regarded as challenging, central data for any theory of slurs. Finally, I show that my theory also receives convergent support from cognitive psychology and psycholinguistics. (shrink)

According to Greimas, the semiotic square is far more than a heuristic for semantic and literary analysis. It represents the generative “deep structure” of human culture and cognition which “define the fundamental mode of existence of an individual or of a society, and subsequently the conditions of existence of semiotic objects” (Greimas & Rastier 1968: 48). The potential truth of this hypothesis, much less the conditions and implications of taking it seriously (as a truth claim), have received little attention in (...) the literature. In response, this paper traces the history and development of the logical square of opposition from Aristotle to Greimas and beyond, to propose that the relations modelled in these diagrams are embodied relations rooted in gestalt memories of kinesthesia and proprioception from which we derive basic structural awareness of opposition and contrast such as verticality, bilaterality, transversality, markedness and analogy. To make this argument, the paper draws on findings in the phenomenology of movement (Sheets-Johnstone 2011a, 2011b, 2012, Pelkey 2014), recent developments in the analysis of logical opposition (Beziau & Payette 2008), recent scholarship in (post)Greimasian semiotics (Corso 2014, Broden 2000) and prescient insights from Greimas himself (esp. 1968, 1984). The argument of the paper is further supported through a visual and textual content analysis of a popular music video, both to highlight relationships between the semiotic square and mundane cultural ideologies and to show how these relationships might be traced to the marked symmetries of bodily movement. In addition to illustrating the enduring relevance of Greimasean thought, the paper further illustrates the neglected relevance that embodied chiasmus holds for developments in anthropology, linguistics and the other cognitive sciences. (shrink)

A growing number of philosophers and linguists have argued that many, if not most, terms in our language should be understood as semantically context sensitive. In opposition to this trend, Herman Cappelen and Ernie Lepore defend a view they call "Semantic Minimalism", which holds that there are virtually no semantically context sensitive expressions in English once you get past the standard list of indexicals and demonstratives such as "I", "you", "this", and "that". While minimalism strikes many as obviously false, it (...) will be argued here that the view is more plausible than commonly assumed if one accepts the 'normative' conception of the relation between meaning and use characteristic of the literature on semantic externalism. That said, it is not clear that Cappelen and Lepore always conceive of their minimal semantic contents in this more normative fashion, and once this framework is place, a version of 'moderate contextualism' that they do not consider comes into view. (shrink)

Contextual vocabulary acquisition (CVA) is the deliberate acquisition of a meaning for a word in a text by reasoning from context, where “context” includes: (1) the reader’s “internalization” of the surrounding text, i.e., the reader’s “mental model” of the word’s “textual context” (hereafter, “co-text” [3]) integrated with (2) the reader’s prior knowledge (PK), but it excludes (3) external sources such as dictionaries or people. CVA is what you do when you come across an unfamiliar word in your reading, realize that (...) you don’t know what it means, decide that you need to know what it means in order to understand the passage, but there is no one around to ask, and it is not in the dictionary (or you are too lazy to look it up). In such a case, you can try to figure out its meaning “from context”, i.e., from clues in the co-text together with your prior knowledge. Our computational theory of CVA—implemented in a the SNePS knowledge representation and reasoning system [28]—begins with a stored knowledge base containing SNePS representations of relevant PK, inputs SNePS representations of a passage containing an unfamiliar word, and draws inferences from these two (integrated) information sources. When asked to define the word, definition algorithms deductively search the resulting network for information of the sort that might be found in a dictionary definition, outputting a definition frame whose slots are the kinds of features that a definition might contain (e.g., class membership, properties, actions, spatio-temporal information, etc.) and whose slot-fillers contain information gleaned from the network [6–8,20,23,24]. We are investigating ways to make our system more robust, to embed it in a naturallanguage-processing system, and to incorporate morphological information. Our research group, including reading educators, is also applying our methods to the develop-. (shrink)

Both biosemiotics and evolutionary epistemology are concerned with how knowledge evolves. (Applied) Evolutionary Epistemology thereby focuses on identifying the units, levels, and mechanisms or processes that underlie the evolutionary development of knowing and knowledge, while biosemiotics places emphasis on the study of how signs underlie the development of meaning. We compare the two schools of thought and analyze how in delineating their research program, biosemiotics runs into several problems that are overcome by evolutionary epistemologists. For one, by emphasizing signs, biosemiotics (...) needs to delineate a semiotic threshold, which is a problem not encountered by evolutionary epistemologists. Instead, the latter recognizes that all organisms are knowers that evolve knowledge, which they recognize to extend toward phenomena produced by organisms such as behavior, cognition, language, culture, science, and technology. Secondly, biosemiotics attempts at continuing adaptationist notions on how organisms relate to their environment, while especially Applied Evolutionary Epistemology comes to redefine the nature of the organism–environment relationship in such a way that it recognizes the spatiotemporal boundedness of existence, which in turn makes adaptationist accounts obsolete. (shrink)

The concept and the main stakeholders of E-learning ecosystem are investigated at the article. University is regarded as a center of such ecosystem due to skilled knowledge providers and technical equipment availability. Studying different cases authors prove that higher educational institution plays a driver role in different projects, especially social start-up projects. Different models of partnership between universities and other stakeholders are considered. In authors’ opinion, one of the most perspective collaborative projects are in frame of “students – schoolchildren” due (...) to effective knowledge transfer. Such kind of cooperation can fill the gap between school and university education. Particularly the framework of e-learning project in financial literacy for orphans totally prepared and executed by students is considered. The ICT tools are very actively used in these initiatives aiming to develop high demanded skills as critical thinking, creativity and complex problem solving. As a result, schoolchildren are receiving a toolkit for basic data analysis, developing own business plan and adopting evidencebased decisions. The authors prove that E-learning projects are able to improve both information and financial literacy and also increase the level of inclusivity into education of weak and socially unprotected children from orphanages. The article will be useful for the representatives from universities, orphanages, companies who eager to boost the level of their social responsibility. The aim of the research is to reveal different types of cooperation under social projects between higher educational institutions and other stakeholders, using wide range of ICT e-learning tools as well. In addition, to develop a set of recommendations to the universities of collaboration roadmap. (shrink)

We examine the role of category representations for decision-making in real-life tasks. To this end, we empirically examine how people categorize kitchen objects and make use of categories when storing objects in a kitchen. We then compare two computational models and their ability to represent the participants’ mental models. We discuss the advantages and disadvantages of the models and point the way to further research.

For most of human history, human knowledge was considered to be something that was stored and captured by words. This began to change when Galileo said that the book of nature is written in the language of mathematics. Today, Dan Dennett and many others argue that all genuine scientific knowledge is in the form of mathematical algorithms. However, recently discovered neurocomputational algorithms can be used to justify the claim that there is genuine knowledge which is non-algorithmic. The fact that these (...) algorithms use prototype deployment, rather than mathematics or logic, gives us good reason to believe that there is a kind of knowledge that we derive from stories that is different from our knowledge of algorithms. Even though we would need algorithms to build a system that can make sense out of stories, we do not need to use algorithms when we ourselves embody a system that learns from stories. The success of the Galilean perspective in the physical sciences has often resulted in an attempt to mathematize the humanities. I am arguing that the dynamic neurocomputational perspective can give us a better understanding of how we get knowledge and wisdom from the stories told by disciplines such as Literature, History, Anthropology and Theology. This new neurological data can be used to justify the traditional pedagogy of these disciplines, which originally stressed the telling of stories rather than the learning of algorithms. (shrink)

In this paper, I provide a critical examination of Warren Schmaus’s recently systematized “functionalist” approach to the study of collective representations. I examine both the logical and the conceptual viability of Schmaus’s brand of “functionalism” and the relation between his rational reconstruction and philosophical critique of Durkheim and the latter’s original set of proposals. I conclude that, due to its reliance on certain problematic philosophical theses, Schmaus’s functionalism ultimately falls short of providing a coherent alternative to the Durkhemian position or (...) serving as a useful starting point from which to understand the origins of abstract categories in concrete experience. (shrink)

When researchers think about the interaction between language and emotion, they typically focus on descriptive emotion words. This review demonstrates that emotion can interact with language at many levels of structure, from the sound patterns of a language to its lexicon and grammar, and beyond to how it appears in conversation and discourse. Findings are considered from diverse subfields across the language sciences, including cognitive linguistics, psycholinguistics, linguistic anthropology, and conversation analysis. Taken together, it is clear that emotional expression is (...) finely tuned to language-specific structures. Future emotion research can better exploit cross-linguistic variation to unravel possible universal principles operating between language and emotion. (shrink)

Lakoff (1993) argued that basic level conceptual metaphors are grounded in human experience, and are therefore likely to be found widely across different languages and cultures. However, other mappings may not be shared. It is well documented that many metaphorical expressions vary across languages, and a number of researchers have argued cultural motivations for this. Possible reasons for cross-linguistic differences in metaphor are that different cultures hold different attitudes to metaphor vehicles, or that the source domain entities and events are (...) more salient in one culture than another. However, the corpus data discussed here suggest that rather than being a synchronic reflection of culture, metaphorical expressions are to some extent a cultural reliquary, and an incomplete one. (shrink)

In Basic Color Terms, Berlin and Kay argued for a restricted number of "basic" color words—words they claimed to be culturally universal. This claim about language was buttressed by psychologist Eleanor Rosch's famous work on color prototypes. Together, the works of Berlin and Kay and Rosch are the foundation for a contemporary research tradition investigating the biological foundations of color naming. In this article, the author describes some common objections to the works of Berlin and Kay and Rosch and argues (...) that they are not significant. The claim that explanations of color naming ought to be strictly cultural also is discussed and rejected. (shrink)

Since the publication of Brent Berlin and Paul Kay's Basic color terms in 1969 there has been continuing debate as to whether or not there are linguistic universals in the restricted domain of color naming. In this paper I am primarily concerned with the attempt to explain the existence of basic color terms in languages. That project utilizes psychological and ultimately physiological generalizations in the explanation of linguistic regularities. The main problem with this strategy is that it cannot account for (...) a particular subset of basic color words: words that the Berlin-Kay tradition calls “composite”. The existence of such words does not compromise the claim that there are basic color words. It does suggest that such words—and basic terms in general—require a more complex type of explanatory strategy than much contemporary work on color naming supposes. It is my main contention that the central problems with the Berlin-Kay tradition arise from the difficulty of linking conceptually and empirically disparate domains: linguistic, psychological, physiological. What is needed is not an attempt to reduce color naming to biology or to culture but, rather, an adequate conceptual account of how people may come to have and use basic color terms—an account which stands between the biological and the cultural. (shrink)

A persuasion dialogue is a dialogue in which a conflict between agents with respect to their points of view arises at the beginning of the talk and the agents have the shared, global goal of resolving the conflict and at least one agent has the persuasive aim to convince the other party to accept an opposing point of view. I argue that the persuasive force of argument may have not only extreme values but also intermediate strength. That is, I wish (...) to introduce two additional types of the effects of persuasion in addition to successful and unsuccessful ones (cf. Van Eemeren and Houtlosser in Argumentation 14(3):293–305, 2000; Advances in pragma-dialectics. Sic Sat, Amsterdam, 2002; Walton in A pragmatic theory of fallacy. University of Alabama Press, Tuscaloosa, 1995; Walton and Krabbe in Commitment in dialogue: basic concepts of interpersonal reasoning. State University of New York Press, Albany, New York, 1995). I propose a model which provides for modified versions of the standpoint of an agent needed in order to bring about two possible outcomes of a persuasion dialogue. These two outcomes I label partially-successful and over-successful. I call the potential, not yet verbalised, standpoint of an agent here the original topic t. Based on some aspects of relevance theory (Sperber and Wilson in Relevance: communication and cognition. Blackwell, Oxford, 1986; Wilson and Sperber in The handbook of pragmatics. Blackwell Publishing, Malden, 2006), I explain that the modified version of the original topic t is an implicature created from the original topic t and from a specific mental topic which belongs to, what I call the beneficial cognitive model (hence BCM). I define BCMi,t as a set of topics which are within the area of agent i’s interest of persuasion with respect to t. (shrink)

Once we perceive a situation as a danger, threat, or shock, the information about a fearful stimulus is immediately sent to the amygdala, which, being a component of the limbic system, is responsible for fear and anxiety processing, and plays an important role in emotion and behaviour. As the research suggests, the message about a potentially frightening situation can reach the amygdala long before we are even consciously aware of it. Then, the amygdala is to trigger a fight-or-flight reaction, marked (...) by our increased heart rate and respiration to prepare for action (cf. LeDoux 2007). The aim of the research is, first, to account for the most prototypical cognitive scenario of fear through the prism of Cognitive Linguistics (cf. Kövecses 1986, 2015) and supply it with this neuroscientific and psychological knowledge of fear. We learn that in addition to the most common human reactions to fear, i.e. the one of a fighter or the one of a runaway, a modern man reacts to fear by denying it as well as by displacing fear from their subconscious mind. Second, by investigating the novel metaphor FEAR IS AN ILLNESS OF THE BRAIN, we aim to propose a novel constructive cognitive scenario of fear, which helps us deal with this unwanted emotion in contemporary situations that generate fear, e.g. in the era of (post)Covid-19 pandemic (WHO 2021, July 15). (shrink)

Cognitive Linguistics is an approach to language study based on three central premises: that the function of language is to convey meaning, that linguistic description must rely on constructs that are psychologically real, and that grammar emerges from usage. Over the last 40 years, this approach to studying language has made enormous strides in virtually every aspect of linguistic inquiry, achieving major insights as well as bringing about a conceptual unification of the language sciences. However, it has also faced problems, (...) which, I argue, must be addressed if the approach is to continue to flourish. Some of these are shared with generative linguistics, while some are peculiar to the cognitive approach. The former include excessive reliance on introspective evidence; paying only lip service to the Cognitive Commitment; too much focus on hypothesis formulation (and not enough on hypothesis testing); ignoring individual differences; and neglecting the social aspects of language. The latter include assuming that we can deduce mental representations from patterns of use and equating distribution with meaning. I conclude by sketching out how these pitfalls could be avoided. (shrink)

Goldstein reported multiple cases of failure to categorise colours in patients that he termed amnesic or anomic aphasics. These patients have a particular difficulty in producing perceptual categories in the absence of other aphasic impairments. We hold that neuropsychological evidence supports the view that the task of colour categorisation is logically impossible without labels.

As non-biological machines come to be designed in ways which exhibit characteristics comparable to human mental states, the manner in which the law treats these entities will become increasingly important both to designers and to society at large. The direct question will become whether, given certain attributes, a non-biological machine could ever be viewed as a legal person. In order to begin to understand the ramifications of this question, this paper starts by exploring the distinction between the related concepts of (...) human, person, and property. Once it is understood that person in the legal sense can apply to a non-biological entity such as a corporation, the inquiry then goes on to examine the folk psychology view of intentionality and the concept of autonomy. The conclusion reached is that these two attributes can support the view that a non-biological machine, at least in theory, can be viewed as a legal person. (shrink)

In this paper I assess the obstacles to a transfer of Lakatos's methodology of scientific research programmes to mathematics. I argue that, if we are to use something akin to this methodology to discuss modern mathematics with its interweaving theoretical development, we shall require a more intricate construction and we shall have to move still further away from seeing mathematical knowledge as a collection of statements. I also examine the notion of rivalry within mathematics and claim that this appears to (...) be significant only at a high level. In addition, ideas of ‘progress’ in mathematics are outlined. (shrink)