Studying sign processes in the emergence of communication

Communication depends on the production and interpretation \ud of representations, but the study of representational processes \ud underlying communication finds little discussion in \ud computational experiments. Here we present an experiment \ud on the emergence of both interpretation and production of \ud multiple representations, with multiple referents, where \ud referential processes can be tracked. Results show the \ud dynamics of semiotic processes during the evolution of \ud artificial creatures and the emergence of a variety of semiotic \ud processes, such as sign production, sign interpretation, and \ud sign-object-interpretant relations

Synthetic Semiotics: on modelling and simulating the \ud emergence of sign processes

Based on formal-theoretical principles about the \ud sign processes involved, we have built synthetic experiments \ud to investigate the emergence of communication based on \ud symbols and indexes in a distributed system of sign users, \ud following theoretical constraints from C.S.Peirce theory of \ud signs, following a Synthetic Semiotics approach. In this paper, we summarize these computational experiments and results regarding associative learning processes of symbolic sign modality and cognitive conditions in an evolutionary process for the emergence of either symbol-based or index-based communication

Emergence of Self-Organized Symbol-Based Communication \ud in Artificial Creatures

In this paper, we describe a digital scenario where we simulated the emergence of self-organized symbol-based communication among artificial creatures inhabiting a \ud virtual world of unpredictable predatory events. In our experiment, creatures are autonomous agents that learn symbolic relations in an unsupervised manner, with no explicit feedback, and are able to engage in dynamical and autonomous communicative interactions with other creatures, even simultaneously. In order to synthesize a behavioral ecology and infer the minimum organizational constraints for the design of our creatures, \ud we examined the well-studied case of communication in vervet monkeys. Our results show that the creatures, assuming the role of sign users and learners, behave collectively as a complex adaptive system, where self-organized communicative interactions play a \ud major role in the emergence of symbol-based communication. We also strive in this paper for a careful use of the theoretical concepts involved, including the concepts of symbol and emergence, and we make use of a multi-level model for explaining the emergence of symbols in semiotic systems as a basis for the interpretation of inter-level relationships in the semiotic processes we are studying

Symbols are not uniquely human

Modern semiotics is a branch of logics that formally defines symbol-based communication. In recent years, the semiotic classification of signs has been invoked to support the notion that symbols are uniquely human. Here we show that alarm-calls such as those used by African vervet monkeys (Cercopithecus aethiops), logically satisfy the semiotic definition of symbol. We also show that the acquisition of vocal symbols in vervet monkeys can be successfully simulated by a computer program based on minimal semiotic and neurobiological constraints. The simulations indicate that learning depends on the tutor-predator ratio, and that apprentice-generated auditory mistakes in vocal symbol interpretation have little effect on the learning rates of apprentices (up to 80% of mistakes are tolerated). In contrast, just 10% of apprentice-generated visual mistakes in predator identification will prevent any vocal symbol to be correctly associated with a predator call in a stable manner. Tutor unreliability was also deleterious to vocal symbol learning: a mere 5% of “lying” tutors were able to completely disrupt symbol learning, invariably leading to the acquisition of incorrect associations by apprentices. Our investigation corroborates the existence of vocal symbols in a non-human species, and indicates that symbolic competence emerges spontaneously from classical associative learning mechanisms when the conditioned stimuli are self-generated, arbitrary and socially efficacious. We propose that more exclusive properties of human language, such as syntax, may derive from the evolution of higher-order domains for neural association, more removed from both the sensory input and the motor output, able to support the gradual complexification of grammatical categories into syntax

Enactivism, action and normativity: a Wittgensteinian analysis

In this paper, we offer a criticism, inspired by Wittgenstein’s rule-following considerations, of the enactivist account of perception and action. We start by setting up a non-descriptivist naturalism regarding the mind and continue by defining enactivism and exploring its more attractive theoretical features. We then proceed to analyse its proposal to understand normativity non-socially. We argue that such a thesis is ultimately committed to the problematic idea that normative practices can be understood as private and factual. Finally, we offer a characterization of normativity as an essentially social phenomenon and apply our criticisms to other approaches that share commitments with enactivism

Mind, Cognition, Semiosis: Ways to Cognitive Semiotics

What is meaning-making? How do new domains of meanings emerge in the course of child’s development? What is the role of consciousness in this process? What is the difference between making sense of pointing, pantomime and language utterances? Are great apes capable of meaning-making? What about dogs? Parrots? Can we, in any way, relate their functioning and behavior to a child’s? Are artificial systems capable of meaning-making? The above questions motivated the emergence of cognitive semiotics as a discipline devoted to theoretical and empirical studies of meaning-making processes. As a transdisciplinary approach to meaning and meaning-making, cognitive semiotics necessarily draws on a different disciplines: starting with philosophy of mind, via semiotics and linguistics, cognitive science(s), neuroanthropology, developmental and evolutionary psychology, comparative studies, and ending with robotics. The book presents extensively this discipline. It is a very eclectic story: highly abstract problems of philosophy of mind are discussed and, simultaneously, results of very specific experiments on picture recognition are presented. On the one hand, intentional acts involved in semiotic activity are elaborated; on the other, a computational system capable of a limited interpretation of excerpts from Carroll’s Through the Looking-Glass is described. Specifically, the two roads to cognitive semiotics are explored in the book: phenomenological-enactive path developed by the so-called Lund school and author’s own proposal: a functional-cognitivist path

Perception and Testimony as Data Providers

Assuming that the sceptical challenge might be either bypassed or answered, this still leaves unspecified how high-quality information about the external world is acquired. In this paper, I will argue that, if knowledge is accounted information, then when we apply this definition to the analysis of perceptual knowledge and knowledge by testimony (the only two sources of information about the external world), the result is that both qualify as data providers.Peer reviewe

Can Science Explain Consciousness?

For diverse reasons, the problem of phenomenal consciousness is persistently challenging. Mental terms are characteristically ambiguous, researchers have philosophical biases, secondary qualities are excluded from objective description, and philosophers love to argue. Adhering to a regime of efficient causes and third-person descriptions, science as it has been defined has no place for subjectivity or teleology. A solution to the “hard problem” of consciousness will require a radical approach: to take the point of view of the cognitive system itself. To facilitate this approach, a concept of agency is introduced along with a different understanding of intentionality. Following this approach reveals that the autopoietic cognitive system constructs phenomenality through acts of fiat, which underlie perceptual completion effects and “filling in”—and, by implication, phenomenology in general. It creates phenomenality much as we create meaning in language, through the use of symbols that it assigns meaning in the context of an embodied evolutionary history that is the source of valuation upon which meaning depends. Phenomenality is a virtual representation to itself by an executive agent (the conscious self) tasked with monitoring the state of the organism and its environment, planning future action, and coordinating various sub- agencies. Consciousness is not epiphenomenal, but serves a function for higher organisms that is distinct from that of unconscious processing. While a strictly scientific solution to the hard problem is not possible for a science that excludes the subjectivity it seeks to explain, there is hope to at least psychologically bridge the explanatory gulf between mind and matter, and perhaps hope for a broader definition of science

Wyłanianie się komunikacji: argument z robotyki

Some “traditional” issues in language emergence and development are viewed through the prism of the interaction of autonomous robots with their environment and through their communicative skills based on the signaling system which emerges as a result of the robots’ own evolution. The main goal of the paper is to present initial conditions necessary for the emergence of communication in a group of robots. First, the paper discusses, in relation to the general faculty of language, the change that has taken place within cognitive science, particularly within computational modelling and Artificial Intelligence. Then a number of basic, individual cognitive mechanisms (pre-adaptations) are suggested, including the robots’ ability to distinguish signals, associate them with particular situations and imitate signaling behavior. These basic individual abilities may develop in the context of a community of interacting agents as well as in the changing communicative environment. In order to practice and develop the cognitive capacities, robotic agents are expected to engage in a number of activities ('language games'), including the imitation of actions, the negotiation of reference and the use of signals in the absence of referents. Inquiries into the emergence of communication in natural and artificial systems can help isolate the possible stages of the development of the robots’ communicative abilities.Niektóre „tradycyjne” kwestie związane z wyłanianiem się i rozwojem języka mogą być rozpatrywane w perspektywnie autonomicznych robotów, ich interakcji ze środowiskiem oraz ich zdolności komunikacyjnych opartych na systemie sygnałów, wyłaniającym się w toku ewolucji robotów. Głównym celem artykułu jest przedstawienie podstawowych, minimalnych zdolności niezbędnych do wyłonienia się komunikacji w grupie robotów. Na początku zarysowana została zmiana, jaka zaszła w podejściu do modelowania języka w kognitywistyce i w szczególności w kognitywistycznych badaniach nad sztuczną inteligencją. W dalszej części zaprezentowano przypuszczalne podstawowe mechanizmy poznawcze, w jakie powinien być wyposażony indywidualny robot, mianowicie: zdolność do rozróżniania sygnałów, do kojarzenia ich z konkretnymi sytuacjami oraz do naśladowania zachowań sygnalizacyjnych. Te podstawowe indywidualne zdolności mogą się rozwijać w ramach grupy współdziałających robotów osadzonych w zmieniającym się środowisku. By przećwiczyć te zdolności i je rozwinąć, roboty biorą udział w serii narzuconych przez eksperymentatora zadań („gier językowych”), takich jak: naśladowanie działań, negocjacje odniesienia, używanie sygnałów przy braku referenta tych sygnałów. Badania nad wyłanianiem się komunikacji w społecznościach naturalnych i sztucznych systemów mogą pomóc w identyfikacji etapów rozwoju zdolności komunikacyjnych