Some researchers claim that simulations of the emergence of communication in populations of autonomous agents provide empirical support for 'use' theories of meaning. I argue that this claim faces at least two major challenges. First, the empirical adequacy of such simulations must be justified, or the inference from simulation results to real-world linguistic behavior must be dropped; and second, the proffered simulations are in fact compatible with all of the competing theories of meaning surveyed, suggesting that theories of meaning (...) are not the kinds of theories for which simulations provide evidence. To conclude, I consider what impact this has on the project of developing a naturalized theory of language. (shrink)

This paper explores the mechanisms of and motivations for two unconventional comparative constructions in Mandarin: [bi Ni hai Ni] and [bi Ni hai Nj]. They are unconventional in that the item expressing the dimension along which the comparison is made is a noun rather than an adjective. It is shown that [bi Ni hai Ni] emerges (i) by analogy with the conventional comparative construction [bi N hai A] and (ii) by inheriting the nominal feature from an existing construction [Adverb N], (...) which is corroborated by a collexeme analysis. At a more schematic level, the extension A > N observed in [bi N hai A] > [bi Ni hai Ni] may have been modeled on the existing development from [Adverb A] to [Adverb N]. Analogical extension and inheritance also underlie the subsequent development from [bi Ni hai Ni] to [bi Ni hai Nj]. This study not only shows how language changes in a constructional network (including node creation and network reconfiguration), but also sheds light on the nature of horizontal links. It also demonstrates how a synchronically perceived relation between constructions may impact a later, similar language change. (shrink)

Languages are neither designed in classrooms nor drawn from dictionaries—they are products of human minds and human interactions. However, it is challenging to understand how structure grows in these circumstances because generations of use and transmission shape and reshape the structure of the languages themselves. Laboratory studies on language emergence investigate the origins of language structure by requiring participants, prevented from using their own natural language(s), to create a novel communication system and then transmit it to (...) others. Because the participants in these lab studies are already speakers of a language, it is easy to question the relevance of lab-based findings to the creation of natural language systems. Here, we take the findings from a lab-based language emergence paradigm and test whether the same pattern is also found in a new natural language: Nicaraguan Sign Language. We find evidence that signers of Nicaraguan Sign Language may show the same biases seen in lab-based language emergence studies: (1) they appear to condition word order based on the semantic dimension of intensionality and extensionality, and (2) they adjust this conditioning to satisfy language-internal order constraints. Our study adds to the small, but growing literature testing the relevance of lab-based studies to natural language birth, and provides convincing evidence that the biases seen in the lab play a role in shaping a brand new language. (shrink)

How did human vocalizations come to acquire meaning in the evolution of our species? Charles Darwin proposed that language and music originated from a common emotional signal system based on the imitation and modification of sounds in nature. This protolanguage is thought to have diverged into two separate systems, with speech prioritizing referential functionality and music prioritizing emotional functionality. However, there has never been an attempt to empirically evaluate the hypothesis that a single communication system can split into two (...) functionally distinct systems that are characterized by music- and languagelike properties. Here, we demonstrate that when referential and emotional functions are introduced into an artificial communication system, that system will diverge into vocalization forms with speech- and music-like properties, respectively. Participants heard novel vocalizations as part of a learning task. Half referred to physical entities and half functioned to communicate emotional states. Participants then reproduced each sound with the defined communicative intention in mind. Each recorded vocalization was used as the input for another participant in a serial reproduction paradigm, and this procedure was iterated to create 15 chains of five participants each. Referential vocalizations were rated as more speech-like, whereas emotional vocalizations were rated as more music-like, and this association was observed cross-culturally. In addition, a stable separation of the acoustic profiles of referential and emotional vocalizations emerged, with some attributes diverging immediately and others diverging gradually across iterations. The findings align with Darwin’s hypothesis and provide insight into the roles of biological and cultural evolution in the divergence of language and music. (shrink)

Wittgenstein used the notion of a language game to illustrate how language is interwoven with action. Here we consider how successful linguistic discourse of the sort he described might emerge in the context of a self-assembling evolutionary game. More specifically, we consider how discourse and coordinated action might self-assemble in the context of two generalized signaling games. The first game shows how prospective language users might learn to initiate meaningful discourse. The second shows how more subtle varieties (...) of discourse might co-emerge with a meaningful language. (shrink)

Providing empirically supportable instances of ontological emergence is notoriously difficult. Typically, the literature has focused on two possible sources. The first is the mind and consciousness; the second is within physics, and more specifically certain quantum effects. In this paper, I wish to suggest that the literature has overlooked a further possible instance of emergence, taken from the special science of linguistics. In particular, I will focus on the property of truth-evaluability, taken to be a property of sentences (...) as created by the language faculty within human minds (or brains). The claim will not be as strong as to suggest that the linguistic data and theories prove emergence. Rather the dialectical aim here is to say that we have some good reasons (even if not conclusive reasons) to think that the property is emergent. (shrink)

B a c k g r o u n d. According to a common prejudice, especially prevalent among philosophers in the continental tradition, the philosophy of everyday language (sometimes referred to as Oxford philosophy), with its focus on what we usually say and mean, fundamentally expresses a positivist attitude. Herbert Marcuse (1898-1979), who significantly contributed to the spread of this view, interprets the appeal to the concept analysis in these philosophers' writings as purely ideological: it fails to recognize the (...) constructed nature of the social and views the social as a domain of brute facts where critical thinking should cease. Therefore, to grasp the essence of the ordinary language philosophy, it is crucial to identify the prerequisites for the emergence of this philosophical style and delve into its historical context. M e t h o d s. In this article, the author employs the method of historical-philosophical reconstruction to clarify the conditions of the formation and genesis of Oxford philosophy. General scientific methods of cognition – such as analysis, synthesis, and generalization – are used to elucidate key ideas and concepts that influenced the development of Oxford philosophy's method. Additionally, methods of systematization and comparison are applied. R e s u l t s. The article identifies the historical prerequisites for the formation of Oxford philosophy, specifying the key ideas and concepts that impacted the development of the ordinary language philosophy. It clarifies the distinctions and interconnections between the concepts of the philosophy of everyday language and Oxford philosophy. C o n c l u s i o n s. For ten years following the end of the Second World War, the University of Oxford became a hub of exceptionally productive philosophical activity. This period laid the groundwork for the emergence of a new and original philosophical movement known as the "Ordinary language philosophy" or "Oxford philosophy". However, equating the ordinary language philosophy entirely with Oxford philosophy is not accurate. The former term pertains specifically to the methodology of analyzing natural language expressions in the post-World War II era. In contrast, Oxford philosophy encompasses a broader historical context, including the pre-war period of philosophical activity at the University of Oxford. Thus, Oxford philosophy should be understood as a historical-philosophical stage that ultimately led to the formation of the philosophy of everyday language. (shrink)

Following Smaldino's definition, we claim that language is also an emergent group-level trait, and propose two facets to verify this statement, both of which also provide a general framework to address the future work about group-level traits.

Natural languages vary in their quantity expressions, but the variation seems to be constrained by general properties, so-calleduniversals. Their explanations have been sought among constraints of human cognition, communication, complexity, and pragmatics. In this article, we apply a state-of-the-art language coordination model to the semantic domain of quantities to examine whether two quantity universals—monotonicity and convexity—arise as a result of coordination. Assuming precise number perception by the agents, we evolve communicatively usable quantity terminologies in two separate conditions: a numeric-based (...) condition in which agents communicate about a number of objects and a quotient-based condition in which agents communicate about the proportions. We find out that both universals take off in all conditions but only convexity almost entirely dominates the emergent languages. Additionally, we examine whether the perceptual constraints of the agents can contribute to the further development of universals. We compare the degrees of convexity and monotonicity of languages evolving in populations of agents with precise and approximate number sense. The results suggest that approximate number sense significantly reinforces monotonicity and leads to further enhancement of convexity. Last but not least, we show that the properties of the evolved quantifiers match certain invariance properties from generalized quantifier theory. (shrink)

Critique of Norman Malcolm’s ‘Wittgenstein: The Relation of Language to Instinctive Behaviour’. Rhees points out the danger of thinking of instinctive reactions as the foundations of language. The reactions are primitive, Rhees argues, in relation to primitive means of communication, ie, in relation to people who already speak a language. What we need to emphasise is the way in which primitive reactions are taken up in our ways of thinking and forms of life. That cannot be reduced (...) to something ‘instinctive’. (shrink)

Iconicity is a relationship of resemblance between the form and meaning of a sign. Compelling evidence from diverse areas of the cognitive sciences suggests that iconicity plays a pivotal role in the processing, memory, learning, and evolution of both spoken and signed language, indicating that iconicity is a general property of language. However, the language‐specific aspect of iconicity, illustrated by the fact that the meanings of ideophones in an unfamiliar language are hard to guess (e.g., shigeshige (...) ‘staring at something’ in Japanese), remains to be fully investigated. In the present study, native speakers of Japanese and English rated the iconicity and familiarity of Japanese ideophones (e.g., gatagata ‘rattling’, butsubutsu ‘murmuring’) and their English equivalents (e.g., rattle, murmur). Two main findings emerged: (1) individuals generally perceived their native language as more iconic than their non‐native language, replicating the previous findings in signed language, and (2) the familiarity of words in their native language boosted their perceived iconicity. These findings shed a light on the language‐specific, subjective, and acquired nature of iconicity. (shrink)

Modern human beings are most sharply distinguished from all other organisms alive today by their possession of symbolic reasoning, the cognitive capacity that makes possible the mental construction of alternative versions of the world. Scrutiny of the human fossil and archaeological records reveals that, while brain sizes expanded independently in several hominid lineages over the course of the Pleistocene, this qualitatively distinctive symbolic faculty only emerged in our own. What is more, this acquisition was made remarkably recently: well within the (...) 200,000-year tenure on Earth of our anatomically distinctive species Homo sapiens. The earliest anatomical Homo sapiens appear to have behaved in much the same manner as their non-symbolic contemporaries, although it is highly likely that they had acquired the neural wiring necessary for symbolic thought in the same event of developmental reorganization that gave Homo sapiens its strikingly derived bony morphology. Only subsequent to about 100,000 years ago do archaeological traces suggest that our forebears had actually begun to think symbolically. This implies that the new capacity was released by a purely cultural stimulus. I suggest that cultural trigger involved was the spontaneous invention of language by members of a small population isolate of Homo sapiens in Africa, at some time after about 100,000 years ago. Structured, rule-bound language is intricately intertwined with symbolic thought as we experience it today; and it is possible to conceive at least in principle how each could have fed back into the other to create a new dynamic. (shrink)

Natural language processing is a critical part of the digital transformation. NLP enables user-friendly interactions between machine and human by making computers understand human languages. Intelligent chatbot is an essential application of NLP to allow understanding of users’ utterance and responding in understandable sentences for specific applications simulating human-to-human conversations and interactions for problem solving or Q&As. This research studies emerging technologies for NLP-enabled intelligent chatbot development using a systematic patent analytic approach. Some intelligent text-mining techniques are applied, including (...) document term frequency analysis for key terminology extractions, clustering method for identifying the subdomains, and Latent Dirichlet Allocation for finding the key topics of patent set. This research utilizes the Derwent Innovation database as the main source for global intelligent chatbot patent retrievals. (shrink)

Two decades of attempts to model the emergence of language as a collective cognitive activity have demonstrated a number of principles that might have been part of the historical process that led to language. Several models have demonstrated the emergence of structure in a symbolic medium, but none has demonstrated the emergence of the capacity for symbolic representation. The current shift in cognitive science toward theoretical frameworks based on embodiment is already furnishing computational models with (...) additional mechanisms relevant to the emergence of symbolic language. An analysis of embodied interaction among captive, but not human‐enculturated, bonobo chimpanzees reveals a number of additional features of embodiment that are relevant to the emergence of symbolic language, but that have not yet been explored in computational simulation models; for example, complementarity of action in addition to imitation, iconic in addition to indexical gesture, coordination among multiple sensory and perceptual modalities, and the orchestration of intra‐ and inter‐individual motor coordination. The bonobos provide an evolutionarily plausible intermediate stage in the development of symbolic expression that can inform efforts to model the emergence of symbolic language. (shrink)

Many human languages have complex grammatical machinery devoted to temporality, but very little is known about how this came about. This paper investigates how people convey temporal information when they cannot use any conventional languages they know. In a laboratory experiment, adult participants were asked to convey information about simple events taking place at a given time, in spoken language and in silent gesture. It was shown that in spoken language, participants formed utterances according to the rules of (...) their native language, but in silent gesture, the temporal information was presented initially, and structurally separately, from the other information in the utterance. The experimental results are consistent with findings from natural systems emerging in situations of communicative stress: unsupervised adult second language learning and homesign. This confirms that presenting temporal information separately and initially is a robust strategy to talk about past and future when only sparse communicative means are available. (shrink)

This thesis investigates reflexivity in ancient Greek literature and philosophy from Homer to Plato. It contends that ancient Greek culture developed a notion of personhood that was characteristically reflexive, and that this was linked to a linguistic development of specialized reflexive pronouns, which are the words for 'self'.

Language is a spontaneously evolved emergent adaptation, not a formal computational system. Its structure does not derive from either innate or social instruction but rather self-organization and selection. Its quasi-universal features emerge from the interactions among semiotic constraints, neural processing limitations, and social transmission dynamics. The neurological processing of sentence structure is more analogous to embryonic differentiation than to algorithmic computation. The biological basis of this unprecedented adaptation is not located in some unique neurologieal structure nor the result of (...) any single mutation, but is vested in the synergistic interaction of numerous coevolved neurological biases and social dynamics. (shrink)

In language, recombination of a discrete set of meaningless building blocks forms an unlimited set of possible utterances. How such combinatorial structure emerged in the evolution of human language is increasingly being studied. It has been shown that it can emerge when languages culturally evolve and adapt to human cognitive biases. How the emergence of combinatorial structure interacts with the existence of holistic iconic form-meaning mappings in a language is still unknown. The experiment presented in this (...) paper studies the role of iconicity and human cognitive learning biases in the emergence of combinatorial structure in artificial whistled languages. Participants learned and reproduced whistled words for novel objects with the use of a slide whistle. Their reproductions were used as input for the next participant, to create transmission chains and simulate cultural transmission. Two conditions were studied: one in which the persistence of iconic form-meaning mappings was possible and one in which this was experimentally made impossible. In both conditions, cultural transmission caused the whistled languages to become more learnable and more structured, but this process was slightly delayed in the first condition. Our findings help to gain insight into when and how words may lose their iconic origins when they become part of an organized linguistic system. (shrink)

Despite the exceptional performance of large language models (LLMs) on a wide range of tasks involving natural language processing and reasoning, there has been sharp disagreement as to whether their abilities extend to more creative human abilities. A core example is the interpretation of novel metaphors. Here we assessed the ability of GPT-4, a state-of-the-art large language model, to provide natural-language interpretations of a recent AI benchmark (Fig-QA dataset), novel literary metaphors drawn from Serbian poetry and (...) translated into English, and entire novel English poems. GPT-4 outperformed previous AI models on the Fig-QA dataset. For metaphors drawn from Serbian poetry, human judges – blind to the fact that an AI model was involved – rated metaphor interpretations generated by GPT-4 as superior to those provided by a group of college students. In interpreting reversed metaphors, GPT-4, as well as humans, exhibited signs of sensitivity to the Gricean cooperative principle. In addition, for several novel English poems GPT-4 produced interpretations that were rated as excellent or good by a human literary critic. These results indicate that LLMs such as GPT-4 have acquired an emergent ability to interpret literary metaphors, including those embedded in novel poems. (shrink)

This study of the workings of neural networks in perception and understanding of situations and simple sentences shows that, and how, distributed conceptual constituents are bound together in episodes within an interactive/dynamic architecture of sensorial and pre-motor maps, and maps of conceptual indicators (semantic memory) and individuating indicators (historical, episodic memory). Activation circuits between these maps make sensorial and pre-motor fields in the brain function as episodic maps creating representations, which are expressions in consciousness. It is argued that all consciousness (...) is episodic, consisting of situational or linguistic representations, and that the mind is the whole of all conscious manifestations of the brain. Thought occurs only in the form of linguistic or image representations. The book also discusses the role of consciousness in the relationship between causal and denotational semantics, and its role for the possibility of representations and rules. Four recent controversies in consciousness research are discussed and decided along this model of consciousness: • Is consciousness an internal or external monitoring device of brain states? • Do all conscious states involve thought and judgement? • Are there different kinds of consciousness? • Do we have a one-on-one correspondence between certain brain states and conscious states. The book discusses also the role of consciousness in the relationship between causal and denotational semantics, and its role for the possibility of representations and rules. (Series A). (shrink)

Despite the exceptional performance of large language models (LLMs) on a wide range of tasks involving natural language processing and reasoning, there has been sharp disagreement as to whether their abilities extend to more creative human abilities. A core example is the interpretation of novel metaphors. Here we assessed the ability of GPT-4, a state-of-the-art large language model, to provide natural-language interpretations of a recent AI benchmark (Fig-QA dataset), novel literary metaphors drawn from Serbian poetry and (...) translated into English, and entire novel English poems. GPT-4 outperformed previous AI models on the Fig-QA dataset. For metaphors drawn from Serbian poetry, human judges – blind to the fact that an AI model was involved – rated metaphor interpretations generated by GPT-4 as superior to those provided by a group of college students. In interpreting reversed metaphors, GPT-4, as well as humans, exhibited signs of sensitivity to the Gricean cooperative principle. In addition, for several novel English poems GPT-4 produced interpretations that were rated as excellent or good by a human literary critic. These results indicate that LLMs such as GPT-4 have acquired an emergent ability to interpret literary metaphors, including those embedded in novel poems. (shrink)

Cognitive Science, Volume 46, Issue 2, February 2022.

This paper uses computational experiments to explore the role of exposure in the emergence of construction grammars. While usage-based grammars are hypothesized to depend on a learner’s exposure to actual language use, the mechanisms of such exposure have only been studied in a few constructions in isolation. This paper experiments with (i) the growth rate of the constructicon, (ii) the convergence rate of grammars exposed to independent registers, and (iii) the rate at which constructions are forgotten when they (...) have not been recently observed. These experiments show that the lexicon grows more quickly than the grammar and that the growth rate of the grammar is not dependent on the growth rate of the lexicon. At the same time, register-specific grammars converge onto more similar constructions as the amount of exposure increases. This means that the influence of specific registers becomes less important as exposure increases. Finally, the rate at which constructions are forgotten when they have not been recently observed mirrors the growth rate of the constructicon. This paper thus presents a computational model of usage-based grammar that includes both the emergence and the unentrenchment of constructions. (shrink)

In recent years we have seen a dramatic shift, in several different areas of communication studies, from an information-theoretic to a dynamic systems paradigm. In an information processing system, communication, whether between cells, mammals, apes, or humans, is said to occur when one organism encodes information into a signal that is transmitted to another organism that decodes the signal. In a dynamic system, all of the elements are continuously interacting with and changing in respect to one another, and an aggregate (...) pattern emerges from this mutual co-action. Whereas the information-processing paradigm looks at communication as a linear, binary sequence of events, the dynamic systems paradigm looks at the relation between behaviors and how the whole configuration changes over time. One of the most dramatic examples of the significance of shifting from an information processing to a dynamic systems paradigm can be found in the debate over the interpretation of recent advances in ape language research (ALR). To some extent, many of the early ALR studies reinforced the stereotype that animal communication is functional and stimulus bound, precisely because they were based on an information-processing paradigm that promoted a static model of communicative development. But Savage-Rumbaugh's recent results with bonobos has introduced an entirely new dimension into this debate. Shifting the terms of the discussion from an information-processing to a dynamic systems paradigm not only highlights the striking differences between Savage-Rumbaugh's research and earlier ALR studies, but further, it sheds illuminating light on the factors that underpin the development of communication skills in great apes and humans, and the relationship between communicative development and the development of language. Key Words: apes; ape language research (ALR); brain development; co-regulation; communication; dynamic systems; language development; symbols. (shrink)

Our brains are characterized by sensory pathways that are highly reflexive, allowing higher cortical centres to control neural activity patterns at peripheral sensory areas. This feature is characterized as an internal sketchpad and involves recursive interactions between central symbols and peripheral images. The process is assumed to be the fundamental mechanism underlying most cognitive functions. The paper attempts to portray the beginnings of art and language as natural extensions of these pre-existing internal processes, made possible by the greatly enlarged (...) human prefrontal cortex. It views these highly social activities as originating in subjective, private discourse between the emerging self and its externalized expressions. (shrink)

As a style of writing and a form of communication, the modern scientific report enables the creation, sharing and continuous updating of natural knowledge in such a manner that the idiosyncrasies of ordinary language are reduced to a minimum. This article examines how the standards for scientific reporting were ‘born’ in the seventeenth century and their legacy. The first part of the article reviews the existing literature on this topic. The second part outlines the key features of the scientific (...) report and the common standards for scientific reporting. The third part presents detailed historical evidence to trace the emergence of these standards in seventeenth-century England. The final part discusses why the scientific report means so much for the progress of science, for understanding the history of science and science popularization, and even for the development of academia more generally. (shrink)

This issue of Christian Bioethics explores theological, metaphysical, and ethical questions surrounding emerging reproductive technologies. Narratives concerning such technologies are often manipulated via “language games.” Language games involve toying with language to ensure that one’s vision of the good gains or retains political prominence. Such games are common in academic discussions of “artificial womb” technologies. Abortion proponents, for example, are already using language to dehumanize subjects within “artificial wombs.” This is unsurprising. Were relevant subjects considered persons, (...) then abortion access (and other forms of “reproductive autonomy”) might be curtailed. Here, I show that abortion proponents’ language games often depend on dubious metaphysical claims. Second, I argue that Christians should oppose dehumanizing language games, since those games undermine “neighbor-love,” which Christians are commanded to show others. I also highlight how discussions of other technologies—such as medication abortion—are affected by confused (or manipulative) language. Ultimately, the language games I critique aim to preserve and expand the “rights” of the powerful to dehumanize, control, and kill vulnerable human beings. Since neighbor-love commands Christians to provide for “the least of these,” however, Christians must expose these manipulative language games, refute them, and resist the corrupt ideologies from which they flow. (shrink)

First, I briefly recapitulate the main points of Rosen’s article, namely, that the word “Being” does not adequately signify the paradoxical unification of subject and object and that the Klein bottle can serve as a more appropriate sign -vehicle than the word. I then propose to apply his insight more widely; however, in order to do that, it is first necessary to identify infra- and exostructures of language, including culture, category structure, logic, metaphor, semantics, syntax, concept, and sign vehicles, (...) that preserve the status quo and keep subject and object disjunct. After analyzing those infra/exostructures, I engage a complementary process of integrating them, coagula, in order to spark ideas for innovating ways in which more of those facets of language can embrace paradox. (shrink)

Cognitive Science, Volume 46, Issue 5, May 2022.

The purpose of this paper is to explore the merits of the idea that dynamical systems theory (also known as chaos theory) provides a model of the mind that can vindicate the language of thought (LOT). I investigate the nature of emergent structure in dynamical systems to assess its compatibility with causally efficacious syntactic structure in the brain. I will argue that anyone who is committed to the idea that the brain's functioning depends on emergent features of dynamical systems (...) should have serious reservations about the LOT. First, dynamical systems theory casts doubt on one of the strongest motives for believing in the LOT: principle P, the doctrine that structure found in an effect must also be found in its cause. Second, chaotic emergence is a double-edged sword. Its tendency to cleave the psychological from the neurological undermines foundations for belief in the existence of causally efficacious representations. Overall, a dynamic conception of the brain sways us away from realist conclusions about the causal powers of representations with constituent structure. (shrink)

Natural languages make prolific use of conventional constituent‐ordering patterns to indicate “who did what to whom,” yet the mechanisms through which these regularities arise are not well understood. A series of recent experiments demonstrates that, when prompted to express meanings through silent gesture, people bypass native language conventions, revealing apparent biases underpinning word order usage, based on the semantic properties of the information to be conveyed. We extend the scope of these studies by focusing, experimentally and computationally, on the (...) interpretation of silent gesture. We show cross‐linguistic experimental evidence that people use variability in constituent order as a cue to obtain different interpretations. To illuminate the computational principles that govern interpretation of non‐conventional communication, we derive a Bayesian model of interpretation via biased inductive inference and estimate these biases from the experimental data. Our analyses suggest people's interpretations balance the ambiguity that is characteristic of emerging language systems, with ordering preferences that are skewed and asymmetric, but defeasible. (shrink)

Abstract One perspective in contemporary linguistic theory defends the idea that the language faculty may result from the combinations of diverse systems and principles. As a case study, I critique a recent proposal by Juan Uriagereka and colleagues according to which the evolutionary emergence of the language faculty can be identified through studying the computational structure of knots as present within the fossil record. I here argue that the ability to conceptualize and, thereby, create knots is not (...) parasitic on the ability to conceptualize and create language. On the contrary, these two domains are entirely distinct, unrelatable in terms of their computational complexity, expressive power or, most importantly, in terms of their requisite mental operations and principles. The overall approach defended here can profitably be employed in the study of the relationship between language and thought, as I briefly discuss in the case of the role of language in spatial reorientation. (shrink)

It is largely acknowledged that natural languages emerge not just from human brains but also from rich communities of interacting human brains (Senghas, ). Yet the precise role of such communities and such interaction in the emergence of core properties of language has largely gone uninvestigated in naturally emerging systems, leaving the few existing computational investigations of this issue at an artificial setting. Here, we take a step toward investigating the precise role of community structure in the (...) class='Hi'>emergence of linguistic conventions with both naturalistic empirical data and computational modeling. We first show conventionalization of lexicons in two different classes of naturally emerging signed systems: (a) protolinguistic “homesigns” invented by linguistically isolated Deaf individuals, and (b) a natural sign language emerging in a recently formed rich Deaf community. We find that the latter conventionalized faster than the former. Second, we model conventionalization as a population of interacting individuals who adjust their probability of sign use in response to other individuals' actual sign use, following an independently motivated model of language learning (Yang, , ). Simulations suggest that a richer social network, like that of natural (signed) languages, conventionalizes faster than a sparser social network, like that of homesign systems. We discuss our behavioral and computational results in light of other work on language emergence, and other work of behavior on complex networks. (shrink)