This paper is a revised and extended version of a keynote contribution to a recent conference on Cognitive Informatics. It offers a brief summary of some of the core concerns of other contributions to the conference, highlighting the range of issues under discussion; and argues that many of the central concepts and preoccupations of cognitive informatics as understood by participants--and others in the general field of computation--rely on ill-founded realist assumptions, and what has been termed the (...) functionalist view of representation. Even if such ideas--albeit in a revised form -- can be defended, there must be a more extensive engagement with the literature and issues outside the confines of the computing and computational orthodoxy. (shrink)

This paper is a revised and extended version of a keynote contribution to a recent conference on Cognitive Informatics. It offers a brief summary of some of the core concerns of other contributions to the conference, highlighting the range of issues under discussion; and argues that many of the central concepts and preoccupations of cognitive informatics as understood by participants--and others in the general field of computation--rely on ill-founded realist assumptions, and what has been termed the (...) functionalist view of representation. Even if such ideas--albeit in a revised form -- can be defended, there must be a more extensive engagement with the literature and issues outside the confines of the computing and computational orthodoxy. (shrink)

The development of classical and contemporary informatics, the cross-fertilization between computer science, software engineering, cognitive science, and neuropsychology, has led to a whole range of extremely interesting new research areas known as cognitive informatics. Cognitive informatics is the transdisciplinary study of cognitive and information sciences that investigates into the internal information processing mechanisms and processes of the natural intelligence--human brains and minds. Cognitive informatics is a branch of information and computer science (...) that studies computing by cognitive methodologies and studies cognitive science by informatics and computing theories. Cognitive informatics is a cutting-edge and profound interdisciplinary research area that tackles the fundamental problems of modern informatics, computation, software engineering, artificial intelligence, cognitive science, neuropsychology, and life sciences. Almost all of the hard problems yet to be solved in the above areas share a common root in the understanding of mechanisms of natural intelligence and cognitive processes of the brain. Cognitive informatics is perceived as a new frontier that explores the internal information processing mechanisms of the brain, and their engineering applications in computing and the information technology industry. (shrink)

Supplementary to matter and energy, information is the third essence for modeling the natural world. An emerging discipline known as cognitive informatics is developed recently that forms a profound interdisciplinary study of cognitive and information sciences, and tackles the common root problems sharing by informatics, computing, software engineering, artificial intelligence, cognitive science, neuropsychology, philosophy, linguistics, and life science. CI focuses on internal information processing mechanisms and the natural intelligence of the brain. This paper describes the (...) historical development of informatics from the classical information theory and contemporary informatics, to CI. The domain of CI, and its interdisciplinary nature are explored. Foundations of CI, particularly the brain versus the mind, the acquired life functions versus the inherited ones, and generic relationships between information, matter, and energy are investigated. The potential engineering applications of CI and perspectives on future research are discussed. It is expected that the investigation into CI will result in fundamental findings towards the development of next generation IT and software technologies, and new architectures of computing systems. (shrink)

The purpose of this investigation is to analyze the state of the art of sciences, beyond philosophy, so far involved in researching wisdom. Eventually, some recommendations will be offered for the further pursuit of wisdom among people and machines. Can machines think? Can machines be wise? These are the questions that will be pursue for the answers in the Age of Artificial Intelligence, Nono-Computing, and the emerging mind science.

Supplementary to matter and energy, information is the third essence for modeling the natural world. An emerging discipline known as cognitive informatics (CI) is developed recently that forms a profound interdisciplinary study of cognitive and information sciences, and tackles the common root problems sharing by informatics, computing, software engineering, artificial intelligence, cognitive science, neuropsychology, philosophy, linguistics, and life science. CI focuses on internal information processing mechanisms and the natural intelligence of the brain. This paper describes (...) the historical development of informatics from the classical information theory and contemporary informatics, to CI. The domain of CI, and its interdisciplinary nature are explored. Foundations of CI, particularly the brain versus the mind, the acquired life functions versus the inherited ones, and generic relationships between information, matter, and energy are investigated. The potential engineering applications of CI and perspectives on future research are discussed. It is expected that the investigation into CI will result in fundamental findings towards the development of next generation IT and software technologies, and new architectures of computing systems. (shrink)

This article clarifies three principles that should guide the development of any cognitive ontology. First, that an adequate cognitive ontology depends essentially on an adequate task ontology; second, that the goal of developing a cognitive ontology is independent of the goal of finding neural implementations of the processes referred to in the ontology; and third, that cognitive ontologies are neutral regarding the metaphysical relationship between cognitive and neural processes.

Cells are cognitive entities possessing great computational power. DNA serves as a multivalent information storage medium for these computations at various time scales. Information is stored in sequences, epigenetic modifications, and rapidly changing nucleoprotein complexes. Because DNA must operate through complexes formed with other molecules in the cell, genome functions are inherently interactive and involve two-way communication with various cellular compartments. Both coding sequences and repetitive sequences contribute to the hierarchical systemic organization of the genome. By virtue of nucleoprotein (...) complexes, epigenetic modifications, and natural genetic engineering activities, the genome can serve as a read-write storage system. An interactive informatic conceptualization of the genome allows us to understand the functional importance of DNA that does not code for protein or RNA structure, clarifies the essential multidirectional and systemic nature of genomic information transfer, and emphasizes the need to investigate how cellular computation operates in reproduction and evolution. (shrink)

The article discusses the theory and practice of software development in the light of design theory. It tries to show that the design process cannot be forced into a predefined operational sequence. To underline this, the history of design methods is retraced, showing that such approaches were abolished not only in practice, but also the theory of design. The essay then discusses the cognitive framework of contemporary design theory and closes with the proposal that informatics should redefine itself (...) as a design discipline in order to tackle the problems of interaction design. (shrink)

Digital Cognitive Technologies is an interdisciplinary book which assesses the socio-technical stakes of Information and Communication Technologies (ICTs), which are at the core of the Knowledge Society. This book addresses eight major issues, analyzed by authors writing from a Human and Social Science and a Science and Technology perspective. The contributions seek to explore whether and how ICTs are changing our perception of time, space, social structures and networks, document writing and dissemination, sense-making and interpretation, cooperation, politics, and the (...) dynamics of collective activity (socio-informatics). (shrink)

In this paper we describe the nature and problems of business and define one aspect of the business environment. We then propose a framework based on augmented soft systems methodology and object technology that captures both the soft and hard aspects of a business environment within the context of organisational culture. We also briefly discuss cognitive informatics and its relevance to understanding problems and solutions. Pólya's work, which is based around solving mathematical problems, is considered within the context (...) of information systems development. We propose a generic reusable business object model based on general systems theory. We also show how these approaches can be integrated to provide a strategy for understanding business problems and developing integrated solutions. (shrink)

Digital Cognitive Technologies is an interdisciplinary book which assesses the socio-technical stakes of Information and Communication Technologies (ICTs), which are at the core of the Knowledge Society. This book addresses eight major issues, analyzed by authors writing from a Human and Social Science and a Science and Technology perspective. The contributions seek to explore whether and how ICTs are changing our perception of time, space, social structures and networks, document writing and dissemination, sense-making and interpretation, cooperation, politics, and the (...) dynamics of collective activity (socio-informatics). (shrink)

In this paper we describe the nature and problems of business and define one aspect of the business environment. We then propose a framework based on augmented soft systems methodology and object technology that captures both the soft and hard aspects of a business environment within the context of organisational culture. We also briefly discuss cognitive informatics and its relevance to understanding problems and solutions. Pólya's work, which is based around solving mathematical problems, is considered within the context (...) of information systems development. We propose a generic reusable business object model based on general systems theory. We also show how these approaches can be integrated to provide a strategy for understanding business problems and developing integrated solutions. (shrink)

The ethics in an information society is discussed from the combined viewpoint of Eastern and Western thoughts. The breakdown of a coherent self threatens the Western ethics and causes nihilism. Francisco Varela, one of the founders of Autopoiesis Theory, tackled this problem and proposed Enactive Cognitive Science by introducing Buddhist middle-way philosophy. Fundamental Informatics gives further insights into the problem, by proposing the concept of a hierarchical autopoietic system. Here the ethics can be described in relation to a (...) community rather than a coherent self. The philosophical bridge between East and West is expected to solve the ethical aporia in the 21st century. (shrink)

The automatic integration of rapidly expanding information resources in the life sciences is one of the most challenging goals facing biomedical research today. Controlled vocabularies, terminologies, and coding systems play an important role in realizing this goal, by making it possible to draw together information from heterogeneous sources – for example pertaining to genes and proteins, drugs and diseases – secure in the knowledge that the same terms will also represent the same entities on all occasions of use. In the (...) naming of genes, proteins, and other molecular structures, considerable efforts are under way to reduce the effects of the different naming conventions which have been spawned by different groups of researchers. Electronic patient records, too, increasingly involve the use of standardized terminologies, and tremendous efforts are currently being devoted to the creation of terminology resources that can meet the needs of a future era of personalized medicine, in which genomic and clinical data can be aligned in such a way that the corresponding information systems become interoperable. (shrink)

This paper presents work in progress on artificial intelligence in medicine (AIM) within the larger context of cognitive science. It introduces and develops the notion ofemergence both as an inevitable evolution of artificial intelligence towards machine learning programs and as the result of a synergistic co-operation between the physician and the computer. From this perspective, the emergence of knowledge takes placein fine in the expert's mind and is enhanced both by computerised strategies of induction and deduction, and by software (...) abilities to dialogue, co-operate and function as a cognitive extension of the physician's intellectual capabilities. The proposed methodology gives the expert a prominent role which consists, first, of faithfully enunciating the descriptive features of his medical knowledge, thus giving the computer a precise description of his own perception of basic medicine, and secondly, of painstakingly gathering patients into computerised case bases which simulate exhaustive long-term memory. The AI capacities for knowledge elaboration are then triggered, giving rise to mathematically optimal diagnoses, prognoses, or treatment protocols which the physician may then evaluate, accept, reject, or adapt at his convenience, and finally append to a knowledge base. The idea of emergence embraces many issues concerning the purpose and intent of artificial intelligence in medical practice. Particularly, we address the representation problem as it is raised by classical decisional knowledge-based systems, and develop the notions of classifiers and hybrid systems as possible answers to this problem. Finally, since the whole methodology touches the problem of technological investment in health care, now inherent in modern medical practice, some ethical considerations accompany the exposé. (shrink)

Implicit in the value sensitive design (VSD) approach is a concern for understanding, and where possible, disrupting problematic power relationships. Yet an awareness of the issues and ethics of power relations is a pre-requisite for such a concern to bear fruit. This article provides some insight into the issues, and through a case study of technology design to support care arrangements for age-related cognitive decline, illustrates how finding a satisfactory resolution can be particularly troublesome.

Although there are various ways to express actions and behaviors in natural languages, it is found in cognitive informatics that human and system behaviors may be classified into three basic categories: to be , to have , and to do . All mathematical means and forms, in general, are an abstract description of these three categories of system behaviors and their common rules. Taking this view, mathematical logic may be perceived as the abstract means for describing to be, (...) set theory for describing 'to have,' and algebras, particularly the process algebra, for describing to do. This is a fundamental view toward the formal description and modeling of human and system behaviors in general, and software behaviors in particular, because a software system can be perceived as a virtual agent of human beings, and it is created to do something repeatable, to extend human capability, reachability, and/or memory capacity. The author found that both human and software behaviors can be described by a three-dimensional representative model comprising action, time, and space. For software system behaviors, the three dimensions are known as mathematical operations, event/process timing, and memory manipulation. This paper introduces the real-time process algebra (RTPA) that serves as an expressive notation system for describing thoughts and notions of dynamic software behaviors. Experimental case studies on applications of RTPA in describing the equivalent software and human behaviors as a series of actions and cognitive processes are demonstrated with real-world examples. (shrink)

Since the sudden outbreak of the coronavirus disease 2019 epidemic in 2020, the second language learning patterns of students in mainland China have encountered new challenges that have had a psychological impact on mainland Chinese students. The epidemic has not only inconvenienced students’ normal second language learning but also greatly affected the second language learning patterns of mainland Chinese students. In the post-epidemic era, more and more students are becoming accustomed to studying and learning a second language online. The level (...) of informatization of second language learning patterns of students in mainland China has increased significantly. This study first analyses the mechanisms of change in second language learning patterns and further analyses the influence of knowledge background on the perception of second language learning patterns on this basis. To design the influencing factors of second language learning patterns, a questionnaire was used to investigate the influence of knowledge background on the perception of second language learning patterns. The survey was conducted on students who were learning a second language in mainland China. Then, the survey data were statistically analyzed. In analyzing the influence of effect on second language learning behaviors of students in mainland China, observed variables were designed, including observed variables of affective factors and learning behaviors. After that, the findings of the experiment were summarized based on the results of the questionnaire survey, and the positive influence of emotional factors on second language learning behaviors of mainland Chinese students in the post-development era was concluded. (shrink)

Since Darwin, the idea of psychological continuity between humans and other animals has dominated theory and research in investigating the minds of other species. Indeed, the field of comparative psychology was founded on two assumptions. First, it was assumed that introspection could provide humans with reliable knowledge about the causal connection between specific mental states and specific behaviors. Second, it was assumed that in those cases in which other species exhibited behaviors similar to our own, similar psychological causes were at (...) work. In this paper. we show how this argument by analogy is flowed with respect to the case of second-order mental states. As a test case, we focus on the question of how other species conceive of visual attention, and in particular whether chimpanzees interpret seeing as a mentalistic event involving internal states of perception, attention, and belief. We conclude that chimpanzees do not reason about seeing in this manner, and indeed, there is considerable reason to suppose that they do not harbor representations of mental states in general. We propose a reinterpretation model in which the majority of the rich social behaviors that humans and other primates share in common emerged long before the human lineage evolved the psychological means of interpreting those behaviors in mentalistic terms. Although humans, chimpanzees, and most other species may be said to possess mental states, humans alone may have evolved a cognitive specialization for reasoning about such states. (shrink)

Despite the fact that the number of neurons in the human brain has been identified in cognitive and neural sciences, the magnitude of human memory capacity is still unknown. This paper reports the discovery of the memory capacity of the human brain, which is on the order of 10 8432 bits. A cognitive model of the brain is created, which shows that human memory and knowledge are represented by relations, i.e., connections of synapses between neurons, rather than by (...) the neurons themselves as the traditional container metaphor described. The determination of the magnitude of human memory capacity is not only theoretically significant in cognitive science, but also practically useful to unveil the human potential, as well as the gap between the natural and machine intelligence. (shrink)

One new tradition that has emerged from early research on autonomous robots is embodied cognitive science. This paper describes the relationship between embodied cognitive science and a related tradition, synthetic psychology. It is argued that while both are synthetic, embodied cognitive science is antirepresentational while synthetic psychology still appeals to representations. It is further argued that modern connectionism offers a medium for conducting synthetic psychology, provided that researchers analyze the internal representations that their networks develop. The paper (...) then provides a detailed example of the synthetic approach by showing how the construction (and subsequent analysis) of a connectionist network can be used to contribute to a theory of how humans solve Piaget's classic balance scale task. (shrink)

In this multidisciplinary book, mathematician Matthew He provides integrative perspectives of algebraic biology, cognitive informatics, and poetic expressions of the human mind. Using classical Pythagorean Theorem and contemporary Category Theory, the proposed matrix models of the human mind connect three domains of the physical space of objective matters, mental space of subjective meanings, and emotional space of bijective modes; draws the connections between neural sparks and idea points, between synapses and idea lines, and between action potentials and frequency (...) curves. (shrink)

Early agreement within cognitive science on the topic of representation has now given way to a combination of positions. Some question the significance of representation in cognition. Others continue to argue in favor, but the case has not been demonstrated in any formal way. The present paper sets out a framework in which the value of representation use can be mathematically measured, albeit in a broadly sensory context rather than a specifically cognitive one. Key to the approach is (...) the use of Bayesian networks for modeling the distal dimension of sensory processes. More relevant to cognitive science is the theoretical result obtained, which is that a certain type of representational architecture is necessary for achievement of sensory efficiency. While exhibiting few of the characteristics of traditional, symbolic encoding, this architecture corresponds quite closely to the forms of embedded representation now being explored in some embedded/embodied approaches. It becomes meaningful to view that type of representation use as a form of information recovery. A formal basis then exists for viewing representation not so much as the substrate of reasoning and thought, but rather as a general medium for efficient, interpretive processing. (shrink)

Information is a basic structure of the world, while computation is a process of the dynamic change of information. This book provides a cutting-edge view of world's leading authorities in fields where information and computation play a central role. It sketches the contours of the future landscape for the development of our understanding of information and computation, their mutual relationship and the role in cognition, informatics, biology, artificial intelligence, and information technology. -/- This book is an utterly enjoyable and (...) engaging read which gives readers an opportunity to understand and relate phenomena seemingly unrelated in a completely new light — especially the connections between information, computation, cognition and life. -/- Contents: Cybersemiotics and the Question of Knowledge (Søren Brier) Information Dynamics in a Categorical Setting (Mark Burgin) Mathematics as a Biological Process (G J Chaitin) Information, Causation and Computation (John Collier) From Descartes to Turing: The Computational Content of Supervenience (S Barry Cooper) A Dialogue Concerning Two World Systems: Info-Computational vs Mechanistic (Gordana Dodig-Crnkovic & Vincent C Müller) Does Computing Embrace Self-Organization? (Wolfgang Hofkirchner) Analysis of Information and Computation in Physics Explains Cognitive Paradigms: From Full Cognition to Laplace Determinism to Statistical Determinism to Modern Approach (Vladik Kreinovich, Roberto Araiza & Juan Ferret) Bodies — Both Informed and Transformed Embodied Computation and Information Processing (Bruce J MacLennan) Computation on Information, Meaning and Representations: An Evolutionary Approach (Christophe Menant) Interior Grounding, Reflection, and Self-Consciousness (Marvin Minsky) A Molecular Dynamic Network: Minimal Properties and Evolutionary Implications (Walter Riofrio) Super-recursive Features of Evolutionary Processes and the Models for Computational Evolution (Darko Roglic) Towards a Modeling View of Computing (Oron Shagrir) What's Information, for an Organism or Intelligent Machine? How can a Machine or Organism Mean? (Aaron Sloman) Inconsistent Knowledge as a Natural Phenomenon: The Ranking of Reasonable Inferences as a Computational Approach to Naturally Inconsistent (Legal) Theories (Kees (CNJ) de Vey Mestdagh & Jaap Henk (JH) Hoepman) On the Algorithmic Nature of the World (Hector Zenil & Jean-Paul Delahaye) . (shrink)

Although there are various ways to express actions and behaviors in natural languages, it is found in cognitive informatics that human and system behaviors may be classified into three basic categories: to be, to have, and to do. All mathematical means and forms, in general, are an abstract description of these three categories of system behaviors and their common rules. Taking this view, mathematical logic may be perceived as the abstract means for describing ‘to be,’ set theory for (...) describing 'to have,' and algebras, particularly the process algebra, for describing ‘to do.’ This is a fundamental view toward the formal description and modeling of human and system behaviors in general, and software behaviors in particular, because a software system can be perceived as a virtual agent of human beings, and it is created to do something repeatable, to extend human capability, reachability, and/or memory capacity. The author found that both human and software behaviors can be described by a three-dimensional representative model comprising action, time, and space. For software system behaviors, the three dimensions are known as mathematical operations, event/process timing, and memory manipulation. This paper introduces the real-time process algebra that serves as an expressive notation system for describing thoughts and notions of dynamic software behaviors. Experimental case studies on applications of RTPA in describing the equivalent software and human behaviors as a series of actions and cognitive processes are demonstrated with real-world examples. (shrink)

Patients with advanced dementia are less likely than those with other terminal illnesses to receive palliative care. Due to the nature and course of dementia, there may be a failure to recognize the terminal stage of the disease. A possible and under-investigated explanation for this healthcare disparity is the healthcare practitioner who plays a primary role in end-of-life decision-making. Two potential areas that might impact provider decision-making are cognitive biases and moral considerations. In this analysis, we demonstrate how the (...) cognitive biases and moral considerations of practitioners related to clinical decision-making are inherent in clinical practice and may impact on providers’ accuracy related to diagnostic and treatment related decision-making associated with patients with advanced dementia. Anchoring, default, availability, representativeness and framing biases are cognitive biases based on the "Two System Model" that relate to decision-making in end-of-life care. In patients with advanced dementia, those biases may result in a tendency to adhere to traditional mandatory care, involving an aggressive approach to care, which values saving lives at all costs, without taking into account the possible suffering and long-term consequences. Aspects such as moral sensitivity and moral courage play an important role in ethical decision-making related to advanced dementia. Investigations of clinical decision-making that include the cognitive biases and ethical considerations of practitioners might advance the comprehensive understanding of the clinical decision-making process related to care of patients with advanced dementia and promote the quality of care given to this population. (shrink)

While the value of early detection of dementia is largely agreed upon, population-based screening as a means of early detection is controversial. This controversial status means that such screening is not recommended in most national dementia plans. Some current practices, however, resemble screening but are labelled “case-finding” or “detection of cognitive impairment”. Labelled as such, they may avoid the ethical scrutiny that population-based screening may be subject to. This article examines conceptualizations of screening and case-finding. It shows how the (...) definitions and delimitations of the concepts (the _what_ of screening) are drawn into the ethical, political, and practical dimensions that screening assessment criteria or principles are intended to clarify and control (the _how_ of screening, how it is and how it should be performed). As a result, different conceptualizations of screening provide the opportunity to rethink what ethical assessments should take place: the conceptualizations have different ethico-political implications. The article argues that population-based systematic screening, population-based opportunistic screening, and case-finding should be clearly distinguished. (shrink)

Ontology is a burgeoning field, involving researchers from the computer science, philosophy, data and software engineering, logic, linguistics, and terminology domains. Many ontology-related terms with precise meanings in one of these domains have different meanings in others. Our purpose here is to initiate a path towards disambiguation of such terms. We draw primarily on the literature of biomedical informatics, not least because the problems caused by unclear or ambiguous use of terms have been there most thoroughly addressed. We advance (...) a proposal resting on a distinction of three levels too often run together in biomedical ontology research: 1. the level of reality; 2. the level of cognitive representations of this reality; 3. the level of textual and graphical artifacts. We propose a reference terminology for ontology research and development that is designed to serve as common hub into which the several competing disciplinary terminologies can be mapped. We then justify our terminological choices through a critical treatment of the ‘concept orientation’ in biomedical terminology research. (shrink)

Who/what can be had at an ontological discount? By grasping the “anitrelationality” and “dismediation” of social relations by capital’s system of accounts, we discern not only the epistemicide and the expropriation of the cognitive-linguistic by capital, we shed new light on racial abstraction and gender abstraction. We grasp in “the coloniality of race and gender” the logistics of abstraction that at once code the social factory and give rise to what I have called the derivative condition—a condition in which (...) the multiple forms of being, when dissolved in and as executable information, are functionalized as contingent claims on the value-form by means of “the world computer.” When we say that semiotic processes are metapragmatically put under economic and informatic pressure, we are also saying that the datafication expresses more than a simple analogy to the commodity form by assigning numbers to qualities. Rather, datafication appears as the preeminent mechanism for the commodification of sociality, and thus also encodes access to social currency. Femicide and the ritual violence of parastate cartels of “gore capitalism” can be seen as alternative means of issuing derivative (soft) currencies by imposing extrajudicial if equally violent systems of account. (shrink)

This state-of-the-art guide to some of the most exciting work in current linguistics explores how the core components of the language faculty interact. It examines how these interactions are reflected in linguistic and cognitive theory, considers what they reveal about the operations of language within the mind, and looks at their reflections in expression and communication. Leading international scholars present cutting-edge accounts of developments in the interfaces between phonetics, phonology, morphology, syntax, semantics, and pragmatics. They bring to bear a (...) rich variety of methods and theoretical perspectives, focus on a broad array of issues and problems, and illustrate their arguments from a wide range of the world's languages. After the editors' introduction to its structure, scope, and content, the book is divided into four parts. The first, Sound, is concerned with the interfaces between phonetics and phonology, phonology and morphology, and phonology and syntax. Part II, Structure, considers the interactions of syntax with morphology, semantics, and the lexicon, and explores the status of the word and its representional status in the mind. Part III, Meaning, revisits the syntax-semantics interface from the perspective of compositionality, and looks at issues concerned with intonation, discourse, and context. The authors in the final part of the book, General Architectural Concerns, examine work on Universal Grammar, the overall model of language, and linguistic and associated theories of language and cognition. All scholars and advanced students of language will value this book, whether they are in linguistics, cognitive science, philosophy, artificial intelligence, computational science, or informatics. (shrink)

Investigation into the sequence structure of the genetic code by means of an informatic approach is a real success story. The features of human language are also the object of investigation within the realm of formal language theories. They focus on the common rules of a universal grammar that lies behind all languages and determine generation of syntactic structures. This universal grammar is a depiction of material reality, i.e., the hidden logical order of things and its relations determined by natural (...) laws. Therefore mathematics is viewed not only as an appropriate tool to investigate human language and genetic code structures through computer sciencebased formal language theory but is itself a depiction of material reality. This confusion between language as a scientific tool to describe observations/experiences within cognitive constructed models and formal language as a direct depiction of material reality occurs not only in current approaches but was the central focus of the philosophy of science debate in the twentieth century, with rather unexpected results. This article recalls these results and their implications for more recent mathematical approaches that also attempt to explain the evolution of human language. (shrink)