We argue that living systems process information such that functionality emerges in them on a continuous basis. We then provide a framework that can explain and model the normativity of biological functionality. In addition we offer an explanation of the anticipatory nature of functionality within our overall approach. We adopt a Peircean approach to Biosemiotics, and a dynamical approach to Digital-Analog relations and to the interplay between different levels of functionality in autonomous systems, taking an integrative approach. We then apply (...) the underlying biosemiotic logic to a particular biological system, giving a model of the B-Cell Receptor signaling system, in order to demonstrate how biosemiotic concepts can be used to build an account of biological information and functionality. Next we show how this framework can be used to explain and model more complex aspects of biological normativity, for example, how cross-talk between different signaling pathways can be avoided. Overall, we describe an integrated theoretical framework for the emergence of normative functions and, consequently, for the way information is transduced across several interconnected organizational levels in an autonomous system, and we demonstrate how this can be applied in real biological phenomena. Our aim is to open the way towards realistic tools for the modeling of information and normativity in autonomous biological agents. (shrink)

Understanding computation as “a process of the dynamic change of information” brings to look at the different types of computation and information. Computation of information does not exist alone by itself but is to be considered as part of a system that uses it for some given purpose. Information can be meaningless like a thunderstorm noise, it can be meaningful like an alert signal, or like the representation of a desired food. A thunderstorm noise participates to the generation of meaningful (...) information about coming rain. An alert signal has a meaning as allowing a safety constraint to be satisfied. The representation of a desired food participates to the satisfaction of some metabolic constraints for the organism. Computations on information and representations will be different in nature and in complexity as the systems that link them have different constraints to satisfy. Animals have survival constraints to satisfy. Humans have many specific constraints coming in addition. And computers will compute what the designer and programmer ask for. We propose to analyze the different relations between information, meaning and representation by taking an evolutionary approach on the systems that link them. Such a bottom-up approach allows starting with simple organisms and avoids an implicit focus on humans, which is the most complex and difficult case. To make available a common background usable for the many different cases, we use a systemic tool that defines the generation of meaningful information by and for a system submitted to a constraint [Menant, 2003]. This systemic tool allows to position information, meaning and representations for systems relatively to environmental entities in an evolutionary perspective. We begin by positioning the notions of information, meaning and representation and recall the characteristics of the Meaning Generator System (MGS) that link a system submitted to a constraint to its environment. We then use the MGS for animals and highlight the network nature of the interrelated meanings about an entity of the environment. This brings us to define the representation of an item for an agent as being the network of meanings relative to the item for the agent. Such meaningful representations embed the agents in their environments and are far from the Good Old Fashion Artificial Intelligence type ones. The MGS approach is then used for humans with a limitation resulting of the unknown nature of human consciousness. Application of the MGS to artificial systems brings to look for compatibilities with different levels of Artificial Intelligence (AI) like embodied-situated AI, the Guidance Theory of Representations, and enactive AI. Concerns relative to different types of autonomy and organic or artificial constraints are highlighted. We finish by summarizing the points addressed and by proposing some continuations. (shrink)

The genetic code appeared on Earth with the first cells. The codes of cultural evolution arrived almost four billion years later. These are the only codes that are recognized by modern biology. In this book, however, Marcello Barbieri explains that there are many more organic codes in nature, and their appearance not only took place throughout the history of life but marked the major steps of that history. A code establishes a correspondence between two independent 'worlds', and the codemaker is (...) a third party between those 'worlds'. Therefore the cell can be thought of as a trinity of genotype, phenotype and ribotype. The ancestral ribotypes were the agents which gave rise to the first cells. The book goes on to explain how organic codes and organic memories can be used to shed new light on the problems encountered in cell signalling, epigenesis, embryonic development, and the evolution of language. (shrink)

Biosemiotics belongs to a class of approaches that provide mental models of life since it applies some semiotic concepts in the explanation of natural phenomena. Such approaches are typically open to anthropomorphic errors. Usually, the main source of such errors is the excessive vagueness of the semiotic concepts used. If the goal of biosemiotics is to be accepted as a science and not as a priori metaphysics, it needs both an appropriate source of the semiotic concepts and a reliable method (...) of adjusting them for biosemiotic use. Charles S. Peirce’s philosophy offers a plausible candidate for both these needs. Biosemioticians have adopted not only Peirce’s semiotic concepts but also a number of metaphysical ones. It is shown that the application of Peirce’s basic semiotic conceptions of sign and sign-process (semiosis) at the substantial level of biosemiotics requires the acceptance of certain metaphysical conceptions, i.e. Tychism and Synechism. Peirce’s method of pragmaticism is of great relevance to biosemiotics: 1. Independently of whether Peirce’s concepts are used or even applicable at the substantial level of biosemiotics, Peirce’s method remains valuable in making biosemiotics and especially in adjusting its basic concepts. 2. If Peircean semeiotic or metaphysics is applied at the substantial level of biosemiotics, pragmaticism is valuable in clarifying the meaning and reference of the applied Peircean concepts. As a consequence, some restrictions for the application of Peirce in biosemiotics are considered and the distinction of Peirce’s philosophy from the 19th century idealistic Naturphilosophie is emphasized. (shrink)

What is life? For four centuries, it has been believed that the only possible scientific approach to this question proceeds from the Cartesian metaphor -- organism as machine. Therefore, organisms are to be studied and characterized the same way "machines" are; the same way any inorganic system is. Robert Rosen argues that such a view is neither necessary nor sufficient to answer the question. He asserts that life is not a specialization of mechanism, but rather a sweeping generalization of it. (...) Above all, Rosen argues that renouncing mechanism does not mean abandoning science. A radical alternative is proposed, drawn equally from experience in biology, physics, and mathematics; an alternative which draws attention to a new class of complex systems, which are radically different from mechanism. (shrink)

This article addresses the semiotic problem of how meaning is agentially grounded: how actual meaning is possible and is justifiably supported by agents’ capabilities and purposes. This article is particularly focused on human agential grounding; however, to a great degree, insights presented here can be extended to other living beings. Specifically, agential meaning is examined here inside the framework of agentive semiotics and embodied, situated and enactive cognition theories, in line with the mind-life continuity general thesis. To offer clarity and (...) methodological precision about agential grounding, three explanation categories are proposed: phylogenetic recurrence, the evolutionary basis for corporal/embodied grounding; ontogenetic recurrence, the developmental basis for individual meaning grounding; and collective recurrence, the basis for meaning recognized, attributed and assigned inside social contexts. These recurrences are conceived as three types of general processes that constantly enclose possibilities for purpose and meaning emergence in humans. As a result of these types of recurrences, two categories of human agendas or purposes are also proposed: individual and collective. Finally, remarks about how these categories can be useful for semiotic analysis and further research are suggested. (shrink)

What makes a living system a living system? What kind of biological phenomenon is the phenomenon of cognition? These two questions have been frequently considered, but, in this volume, the authors consider them as concrete biological questions. Their analysis is bold and provocative, for the authors have constructed a systematic theoretical biology which attempts to define living systems not as objects of observation and description, nor even as interacting systems, but as self-contained unities whose only reference is to themselves. The (...) consequence of their investigations and of their living systems as self-making, self-referring autonomous unities, is that they discovered that the two questions have a common answer: living systems are cognitive systems, and living as a process is a process of cognition. The result of their investigations is a completely new perspective of biological (human) phenomena. During the investigations, it was found that a complete linguistic description pertaining to the ‘organization of the living’ was lacking and, in fact, was hampering the reporting of results. Hence, the authors have coined the word ‘autopoiesis’ to replace the expression ‘circular organization’. Autopoiesis conveys, by itself, the central feature of the organization of the living, which is autonomy. (shrink)

The current article is the first in a series of review articles addressing biosemiotic terminology. The biosemiotic glossary project is inclusive and designed to integrate views of a representative group of members within the biosemiotic community based on a standard survey and related publications. The methodology section describes the format of the survey conducted in November–December 2013 in preparation of the current review and targeted on the terms ‘agent’ and ‘agency’. Next, I summarize denotation, synonyms and antonyms, with special emphasis (...) on the denotation of these terms in current biosemiotic usage. The survey findings include ratings of nine citations defining or making use of the two terms. I provide a summary of respondents’ own definitions and suggested term usage. Further sections address etymology, connotations, and related terms in English and other languages. A section on the notions’ mainstream meaning vs. their meaning in biosemiotics is followed by attempt at synthesis and conclusions. Although there is currently no consensus in the biosemiotic community on what constitutes a semiotic agent, i.e., an agent in the context of semiosis, most respondents agree that core attributes of an agent include goal-directedness, self-governed activity, processing of semiosis and choice of action, with these features being vital for the functioning of the living system in question. I agree that these four features are constitutive of biosemiotic agents, and stipulate that biosemiotic agents fall within three major categories, namely 1) sub-organismic biosemiotic agents, 2) organismic biosemiotic agents and 3) super-organismic biosemiotic agents. (shrink)

The existence of different types of semiosis has been recognized, so far, in two ways. It has been pointed out that different semiotic features exist in different taxa and this has led to the distinction between zoosemiosis, phytosemiosis, mycosemiosis, bacterial semiosis and the like. Another type of diversity is due to the existence of different types of signs and has led to the distinction between iconic, indexical and symbolic semiosis. In all these cases, however, semiosis has been defined by the (...) Peirce model, i.e., by the idea that the basic structure is a triad of ‘sign, object and interpretant’, and that interpretation is an essential component of semiosis. This model is undoubtedly applicable to animals, since it was precisely the discovery that animals are capable of interpretation that allowed Thomas Sebeok to conclude that they are also capable of semiosis. Unfortunately, however, it is not clear how far the Peirce model can be extended beyond the animal kingdom, and we already know that we cannot apply it to the cell. The rules of the genetic code have been virtually the same in all living systems and in all environments ever since the origin of life, which clearly shows that they do not depend on interpretation. Luckily, it has been pointed out that semiosis is not necessarily based on interpretation and can be defined exclusively in terms of coding. According to the ‘code model’, a semiotic system is made of signs, meanings and coding rules, all produced by the same codemaker, and in this form it is immediately applicable to the cell. The code model, furthermore, allows us to recognize the existence of many organic codes in living systems, and to divide them into two main types that here are referred to as manufacturing semiosis and signalling semiosis. The genetic code and the splicing codes, for example, take part in processes that actually manufacture biological objects, whereas signal transduction codes and compartment codes organize existing objects into functioning supramolecular structures. The organic codes of single cells appeared in the first three billion years of the history of life and were involved either in manufacturing semiosis or in signalling semiosis. With the origin of animals, however, a third type of semiosis came into being, a type that can be referred to as interpretive semiosis because it became closely involved with interpretation. We realize in this way that the contribution of semiosis to life was far greater than that predicted by the Peirce model, where semiosis is always a means of interpreting the world. Life is essentially about three things: (1) it is about manufacturing objects, (2) it is about organizing objects into functioning systems, and (3) it is about interpreting the world. The idea that these are all semiotic processes, tells us that life depends on semiosis much more deeply and extensively than we thought. We realize in this way that there are three distinct types of semiosis in Nature, and that they gave very different contributions to the origin and the evolution of life. (shrink)

In this introductory article to the special issue on Multi-level semiosis we attempt to stage the background for qualifying the notion of “multi-levelness” when considering communication processes and semiosis in all life forms, i.e. from the cellular to the organismic level. While structures are organized hierarchically, communication processes require a kind of processual organization that may be better described as being heterarchical. Theoretically, the challenge arises in the temporal domain, that is, in the developmental and evolutionary dimension of dynamic semiotic (...) processes. We discuss the importance of this fundamental difference in order to explain how levels, domains and orders of magnitude, on the one hand, and synchronic and diachronic processes, on the other, contribute to the overall organization of every living being. To account for such multi-level organization, semiotic freedom is assumed to be a scalar property that endows living systems at different levels and domains with the capacity to ponder selectively the overall structural coherence and functional compatibility of their heterarchical processing, which is increasingly less conditioned by the underlying molecular determinism. (shrink)

Based on the conception of life and semiosis as co-extensive an attempt is given to classify cognitive and communicative potentials of species according to the plasticity and articulatory sophistication they exhibit. A clear distinction is drawn between semiosis and perception, where perception is seen as a high-level activity, an integrated product of a multitude of semiotic interactions inside or between bodies. Previous attempts at finding progressive trends in evolution that might justify a scaling of species from primitive to advanced levels (...) have not met with much success, but when evolution is considered in the light of semiosis such a scaling immediately catches the eye. The main purpose of this paper is to suggest a scaling of this progression in semiotic freedom into a series of distinct steps. The elleven steps suggested are: 1) molecular recognition, 2) prokaryote-eukaryote transformation, 3) division of labor in multicellular organisms, 4) from irritability to phenotypic plasticity, 5) sense perception, 6) behavioral choice, 7) active information gathering, 8) collaboration, deception, 9) learning and social intelligence, 10) sentience, 11) consciousness. In light of this, the paper finally discusses the conceptual framework for biosemiotic evolution. The evolution of biosemiotic capabilities does not take the form of an ongoing composition of simple signs into composite wholes. Rather, it takes the shape of the increasing subdivision and control of a primitive, holophrastic perception-action circuit already committed to “proto-propositions” reliably guiding action already in the most primitive species. (shrink)

The final version of the paper is published pp. 117-166 in: Myrdene Anderson and Floyd Merrell (eds.): On Semiotic Modeling . Mouton de Gruyter, Berlin and New York, 1991.

In contrast to the traditional relational semiotics, biosemiotics decisively deviates towards dynamical aspects of signs at the evolutionary and developmental time scales. The analysis of sign dynamics requires constructivism to explain how new components such as subagents, sensors, effectors, and interpretation networks are produced by developing and evolving organisms. Semiotic networks that include signs, tools, and subagents are multilevel, and this feature supports the plasticity, robustness, and evolvability of organisms. The origin of life is described here as the emergence of (...) simple self-constructing semiotic networks that progressively increased the diversity of their components and relations. Primitive organisms have no capacity to classify and track objects; thus, we need to admit the existence of proto-signs that directly regulate activities of agents without being associated with objects. However, object recognition and handling became possible in eukaryotic species with the development of extensive rewritable epigenetic memory as well as sensorial and effector capacities. Semiotic networks are based on sequential and recursive construction, where each step produces components that are needed for the following steps of construction. Construction is not limited to repair and reproduction of what already exists or is unambiguously encoded, it also includes production of new components and behaviors via learning and evolution. A special case is the emergence of new levels of organization known as metasystem transition. Multilevel semiotic networks reshape the phenotype of organisms by combining a mosaic of features developed via learning and evolution of cooperating and/or conflicting subagents. (shrink)

On this tour of the universe of signs, Jesper Hoffmeyer travels back to the Big Bang, visits the tiniest places deep within cells, and ends his journey with us - complex organisms capable of speech and reason. He shows that life at its most basic depends on the survival of messages written in the code of DNA molecules, and on the tiny cell - the fertilized egg - that must interpret the message and from it construct an organism. What propels (...) this journey is Hoffmeyer's attempt to discover how nature could come to mean something to someone; indeed, how "something" could become "someone." How could a biological self become a semiotic self? (shrink)

Life has semiotic nature; and as life forms differ in their complexity, functionality, and adaptability, we assume that forms of semiosis also vary accordingly. Here we propose a criterion to distinguish between the primitive kind of semiosis, which we call “protosemiosis” from the advanced kind of semiosis, or “eusemiosis”. In protosemiosis, agents associate signs directly with actions without considering objects, whereas in eusemiosis, agents associate signs with objects and only then possibly with actions. Protosemiosis started from the origin of life, (...) and eusemiosis started when evolving agents acquired the ability to track and classify objects. Eusemiosis is qualitatively different from protosemiosis because it can not be reduced to a small number of specific signaling pathways. Proto-signs can be classified into proto-icons that signal via single specific interaction, proto-indexes that combine several functions, and proto-symbols that are processed by a universal subagent equipped with a set of heritable adapters. Prefix “proto” is used here to characterize signs at the protosemiotic level. Although objects are not recognized by protosemiotic agents, they can be reliably reconstructed by human observers. In summary, protosemiosis is a primitive kind of semiosis that supports “know-how” without “know-what”. Without studying protosemiosis, the biosemiotics theory would be incomplete. (shrink)

Theses on the semiotic study of life as presented here provide a collectively formulated set of statements on what biology needs to be focused on in order to describe life as a process based on semiosis, or sign action. An aim of the biosemiotic approach is to explain how life evolves through all varieties of forms of communication and signification (including cellular adaptive behavior, animal communication, and human intellect) and to provide tools for grounding sign theories. We introduce the concept (...) of semiotic threshold zone and analyze the concepts of semiosis, function, umwelt, and the like as the basic concepts for theoretical biology. (shrink)

Function emerges in certain kinds of far-from-equilibrium systems. One important kind of function is that of interactive anticipation, an adaptedness to temporal complexity. Interactive anticipation is the locus of the emergence of normative representational content, and, thus, of representation in general: interactive anticipation is the naturalistic core of the evolution of cognition. Higher forms of such anticipation are involved in the subsequent macro-evolutionary sequence of learning, emotions, and reflexive consciousness.

In 1991, I included a brief discussion of the Baldwin effect in my account of the evolution of human consciousness, thinking I was introducing to non-specialist readers a little-appreciated, but no longer controversial, wrinkle in orthodox neo-Darwinism. I had thought that Hinton and Nowlan (1987) and Maynard Smith (1987) had shown clearly and succinctly how and why it worked, and restored the neglected concept to grace. Here is how I put it then.

Biological evolution is often viewed narrowly as a change of morphology or allele frequency in a sequence of generations. Here I pursue an alternative informational concept of evolution, as preservation, advance, and emergence of functional information in natural agents. Functional information is a network of signs that are used by agents to preserve and regulate their functions. Functional information is preserved in evolution via complex interplay of copying and construction processes: the digital components are copied, whereas interpreting subagents together with (...) scaffolds, tools, and resources, are constructed. Some of these processes are simple and invariant, whereas others are complex and contextual. Advance of functional information includes improvement and modification of already existing functions. Although the genome information may change passively and randomly, the interpretation is active and guided by the logic of agent behavior and embryonic development. Emergence of new functions is based on the reinterpretation of already existing information, when old tools, resources, and control algorithms are adopted for novel functions. Evolution of functional information progressed from protosemiosis, where signs correspond directly to actions, to eusemiosis, where agents associate signs with objects. Language is the most advanced form of eusemiosis, where the knowledge of objects and models is communicated between agents. (shrink)

In biosemiotics, life and living phenomena are described by means of originally anthropomorphic semiotic concepts. This can be justified if we can show that living systems as self-maintaining far from equilibrium systems create and update some kind of representation about the conditions of their self-maintenance. The point of view is the one of semiotic realism where signs and representations are considered as real and objective natural phenomena without any reference to the specifically human interpreter. It is argued that the most (...) basic concept of representation must be forward looking and that both C. Peirce’s and J. v. Uexküll’s concepts of sign assume an unnecessarily complex semiotic agent. The simplest representative systems do not have phenomenal objects or Umwelten at all. Instead, the minimal concept of representation and the source of normativity that is needed in its interpretation can be based on M. Bickhard’s interactivism. The initial normativity or natural self-interest is based on the ‘utility-concept’ of function: anything that contributes to the maintenance of a far from equilibrium system is functional to that system — every self-maintaining far from equilibrium system has a minimal natural self-interest to serve that function, it is its existential precondition. Minimal interactive representation emerges when such systems become able to switch appropriately between two or more means ofmaintaining themselves. At the level of such representations, a potentiality to detect an error may develop although no objects of representation for the system are provided. Phenomenal objects emerge in systems that are more complex. If a system creates a set of ongoingly updated ’situation images’ and can detect temporal invariances in the updating process, these invariances constitute objects for the system itself. Within them, a representative system gets an Umwelt and becomes capable of experiencing triadic signs. The relation between representation and its object is either iconic or indexical at this level. Correspondingly as in Peirce’s semeiotic, symbolic signs appear as more developed — for the symbolic signs, a more complex system is needed. (shrink)

This chapter contains sections titled: Introduction Systems Biology Function: A Minimalist Conception Kant and As‐If Purpose Cybernetics and Bernard Machines A Guarded Optimism Postscript: Counterpoint References.

In biosemiotics, life and living phenomena are described by means of originally anthropomorphic semiotic concepts. This can be justified if we can show that living systems as self-maintaining far from equilibrium systems create and update some kind of representation about the conditions of their self-maintenance. The point of view is the one of semiotic realism where signs and representations are considered as real and objective natural phenomena without any reference to the specifically human interpreter. It is argued that the most (...) basic concept of representation must be forward looking and that both C. Peirce’s and J. v. Uexküll’s concepts of sign assume an unnecessarily complex semiotic agent. The simplest representative systems do not have phenomenal objects or Umwelten at all. Instead, the minimal concept of representation and the source of normativity that is needed in its interpretation can be based on M. Bickhard’s interactivism. The initial normativity or natural self-interest is based on the ‘utility-concept’ of function: anything that contributes to the maintenance of a far from equilibrium system is functional to that system — every self-maintaining far from equilibrium system has a minimal natural self-interest to serve that function, it is its existential precondition. Minimal interactive representation emerges when such systems become able to switch appropriately between two or more means ofmaintaining themselves. At the level of such representations, a potentiality to detect an error may develop although no objects of representation for the system are provided. Phenomenal objects emerge in systems that are more complex. If a system creates a set of ongoingly updated ’situation images’ and can detect temporal invariances in the updating process, these invariances constitute objects for the system itself. Within them, a representative system gets an Umwelt and becomes capable of experiencing triadic signs. The relation between representation and its object is either iconic or indexical at this level. Correspondingly as in Peirce’s semeiotic, symbolic signs appear as more developed — for the symbolic signs, a more complex system is needed. (shrink)

Harris proposes a new theory of communication, beginning with the premise that the mental life of an individual should be conceived of as a continuous attempt to integrate the present with the past and future.