The concept of information has been extensively studied and written about, yet no consensus on a unified definition of information has to date been reached. This paper seeks to establish the basis for a unified definition of information. We claim a biosemiotics perspective, based on Gregory Bateson’s definition of information, provides a footing on which to build because the frame this provides has applicability to both the sciences and humanities. A key issue in reaching a unified definition of information is (...) the fundamental problem of identifying how a human organism, in a self-referential process, develops from a state in which its knowledge of the human-organism-in-its-environment is almost non-existent to a state in which the human organism not only recognizes the existence of the environment but also sees itself as part of the human-organism-in-its-environment system. This allows a human organism not only to self-referentially engage with the environment and navigate through it, but also to transform it in its own image and likeness. In other words, the Fundamental Problem of the Science of Information concerns the phylogenetic development process, as well as the ontogenetic development process of Homo sapiens sapiens from a single cell to our current multicellular selves, all in a changing long-term and short-term environment, respectively. (shrink)

Gregory Bateson is well known for defining information by stating “In fact what we mean by information – the elementary unit of information – is a difference which makes a difference…” This conceptual perspective has the merit of simplicity and generality. Simplicity, in addressing the complexity of information. Generality, in seeking applicability to any and every field of human experience. The purpose of this paper is to focus the applicability of this conceptual approach by Bateson and use it to perform (...) a calculation of taking the difference between two grey-level digital images that are shifted one relative to the other. The digital images take the place of the field of view that a human being would have access through her sense of vision at two different spatial/temporal instances. The results show that it is possible to highlight the edges of the objects under scrutiny, as well as to highlight other differences within the object. Bateson’s “difference that makes a difference” would seem to provide a first step in the elusive meaning making process of humans. (shrink)

The organism-in-its-environment is recognized as the basic unit of analysis when dealing with living beings. This paper seeks to define the fundamental implications of the concept of the organism-in-its-environment in terms of the biosemiotic concept of human distributed cognition. Human distributed cognition in a biosemiotic context is defined as the ability of a self-referencing organism-in-its-environment to interact with its environment to satisfy its physiological and social needs to survive and sustain itself. The ontogenetic development of the organism-in-its-environment serves as the (...) backdrop to discover the implications of distributed cognition that have general applicability in organisms, but in this paper, are made relevant to human beings. (shrink)

Distributed cognition is widely recognized as an approach to the study of all cognition. It identifies the distribution of cognitive processes between persons and technology, among people, and across time in the development of the social and material contexts for thinking. This paper suggests an ectoderm-centric perspective as the basis for distributed cognition, and in so doing redefines distributed cognition as the ability of an organism to interact with its environment for the purpose of satisfying its most basic physiological (internal (...) and external) and social needs in order to survive and sustain itself. Underlying this ectoderm-centric perspective is a proposed theory of reactive and interactive learning. (shrink)

Any great new theoretical framework has an epistemological and an ontological aspect to its philosophy as well as an axiological one, and one needs to understand all three aspects in order to grasp the deep aspiration and idea of the theoretical framework. Presently, there is a widespread effort to understand C. S. Peirce's (1837–1914) pragmaticistic semeiotics, and to develop it by integrating the results of modern science and evolutionary thinking; first, producing a biosemiotics and, second, by integrating it with the (...) progress in cybernetics, information science, and system theory to create a cybersemiotics. In this paper, we focus on the understanding of the evolution of the universe that Peirce produced as an alternative to the mechanistic view underlying classical physics and try to place man in an evolving universe as a creative, aesthetical agent. It is true that modern non-equilibrium physics has made a modern foundation for a profound physical understanding of the basic evolutionary processes in the universe. But science still has not produced a theory that can explain how the creativity of the universe could produce signification, interpretation, and first-person consciousness. To this end, Peirce's thoughts on agapastic evolution coupled with the aesthetically influence of the growth of ideas and reasonableness on man could make a contribution. (shrink)

Communication is an important feature of the living world that mainstream biology fails to adequately deal with. Applying two main disciplines can be contemplated to fill in this gap: semiotics and information theory. Semiotics is a philosophical discipline mainly concerned with meaning; applying it to life already originated in biosemiotics. Information theory is a mathematical discipline coming from engineering which has literal communication as purpose. Biosemiotics and information theory are thus concerned with distinct and complementary possible meanings of the word (...) ‘communication’. Since literal communication needs to be secured so as to enable semantics being communicated, information theory is a necessary prerequisite to biosemiotics. Moreover, heredity is a purely literal communication process of capital importance fully relevant to literal communication, hence to information theory. A short introduction to discrete information theory is proposed, which is centred on the concept of redundancy and its use in order to make sequences resilient to errors. Information theory has been an extremely active and fruitful domain of researches and the motor of the tremendous progress of communication engineering in the last decades. Its possible connections with semantics and linguistics are briefly considered. Its applications to biology are suggested especially as regards error-correcting codes which are mandatory for securing the conservation of genomes. Biology needs information theory so biologists and communication engineers should closely collaborate. (shrink)

Since the beginning of the XX-th century, it became increasingly evident that information, besides matter and energy, is a major actor in the life processes. Moreover, communication of information has been recognized as differentiating living things from inanimate ones, hence as specific to the life processes. Therefore the sciences of matter and energy, chemistry and physics, do not suffice to deal with life processes. Biology should also rely on sciences of information. A majority of biologists, however, did not change their (...) mind and continued to describe life in terms of chemistry and physics. They merely borrowed some vocabulary from the information sciences. The first science of information available to biological applications, semiotics, appeared at the end of the XIX-th century. It is a qualitative and descriptive science which stemmed from efforts of linguists and philosophers to understand the human language and is thus mainly concerned with semantics. Applying semiotics to biology resulted in today’s Biosemiotics. Independently, an explosive expansion of communication engineering began in the second half of the XX-th century. Besides tremendous progresses in hardware technology, it was made possible by the onset of a science of literal communication: Information Theory (Shannon, Bell Syst Tech J 27:379–457, 623–656, 1948). Literal communication consists of faithfully transporting a message from a place to another, or from an instant to another. Because the meaning of a message does not matter for its transportation, information theory ignores semantics. This restriction enables defining information as a measurable quantity on which a mathematical theory of communication is founded. Although lacking implementation means at its beginning, information theory became later very successful for designing communication means. Modern ones, like mobile phones, can be thought of as experimentally proving the relevance and accuracy of information theory since their design and operation heavily rely on it. Information theory is plainly relevant to biological functions which involve literal communication, especially heredity. This paper is intended to compare the two approaches. It shows that, besides obvious differences, they have some points in common: for instance, the quantitative measurement of information obeys Peirce’s triadic paradigm. They also can mutually enlighten each other. Using information theory, which is closer to the basic communication mechanisms, may appear as a preliminary step prior to more elaborated investigations. Criticizing genetics from outside, information theory furthermore reveals that the ability of the template-replication paradigm to faithfully conserve genomes is but a prejudice. Heredity actually demands error-correcting means which impose severe constraints to the living world and must be recognized as biological facts. (shrink)

Today there are two major theoretical frameworks in biology. One is the ‘chemical paradigm’, the idea that life is an extremely complex form of chemistry. The other is the ‘information paradigm’, the view that life is not just ‘chemistry’ but ‘chemistry-plus-information’. This implies the existence of a fundamental difference between information and chemistry, a conclusion that is strongly supported by the fact that information and information-based-processes like heredity and natural selection simply do not exist in the world of chemistry. Against (...) this conclusion, the supporters of the chemical paradigm have pointed out that information processes are no different from chemical processes because they are both described by the same physical quantities. They may appear different, but this is only because they take place in extremely complex systems. According to the chemical paradigm, in other words, biological information is but a shortcut term that we use to avoid long descriptions of countless chemical reactions. It is intuitively appealing, but it does not represent a new ontological entity. It is merely a derived construct, a linguistic metaphor. The supporters of the information paradigm insist that information is a real and fundamental entity of Nature, but have not been able to prove this point. The result is that the chemical view has not been abandoned and the two paradigms are both coexisting today. Here it is shown that an alternative does exist and is a third theoretical framework that is referred to as the ‘code paradigm’. The key point is that we need to introduce in biology not only the concept of information but also that of meaning because any code is based on meaning and a genetic code does exist in every cell. The third paradigm is the view that organic information and organic meaning exist in every living system because they are the inevitable results of the processes of copying and coding that produce genes and proteins. Their true nature has eluded us for a long time because they are nominable entities, i.e., objective and reproducible observables that can be described only by naming their components in their natural order. They have also eluded us because nominable entities exist only in artifacts and biologists have not yet come to terms with the idea that life is artifact making. This is the idea that life arose from matter and yet it is fundamentally different from it because inanimate matter is made of spontaneous structures whereas life is made of manufactured objects. It will be shown, furthermore, that the existence of information and meaning in living systems is documented by the standard procedures of science. We do not have to abandon the scientific method in order to introduce meaning in biology. All we need is a science that becomes fully aware of the existence of organic codes in Nature. (shrink)

"This is an excellent, readable and vigorous translation of _The Prince_, but it is much more than simply a translation. The map, notes and guide to further reading are crisp, to-the-point and yet nicely comprehensive. The inclusion of the letter to Vettori is most welcome. But, above all, the Introduction is so gripping and lively that it has convinced me to include _The Prince_ in my syllabus for History of Western Civilization the next time that I teach it.... Great price, (...) too! And lovely printing and layout." --Rachel Fulton, _University of Chicago_. (shrink)

The mathematical theory of communication.

The necessary but not sufficient conditions for biological informational concepts like signs, symbols, memories, instructions, and messages are (1) an object or referent that the information is about, (2) a physical embodiment or vehicle that stands for what the information is about (the object), and (3) an interpreter or agent that separates the referent information from the vehicle’s material structure, and that establishes the stands-for relation. This separation is named the epistemic cut, and explaining clearly how the stands-for relation is (...) realized is named the symbol-matter problem. (4) A necessary physical condition is that all informational vehicles are material boundary conditions or constraints acting on the lawful dynamics of local systems. It is useful to define a dependency hierarchy of information types: (1) syntactic information (i.e., communication theory), (2) heritable information acquired by variation and natural selection, (3) non-heritable learned or creative information, and (4) measured physical information in the context of natural laws. High information storage capacity is most reliably implemented by discrete linear sequences of non-dynamic vehicles, while the execution of information for control and construction is a non-holonomic dynamic process. The first epistemic cut occurs in self-replication. The first interpretation of base sequence information is by protein folding; the last interpretation of base sequence information is by natural selection. Evolution has evolved senses and nervous systems that acquire non-heritable information, and only very recently after billions of years, the competence for human language. Genetic and human languages are the only known complete general purpose languages. They have fundamental properties in common, but are entirely different in their acquisition, storage and interpretation. (shrink)

The semantic concept of information is one of the most important, and one of the most problematical concepts in biology. I suggest a broad definition of biological information: a source becomes an informational input when an interpreting receiver can react to the form of the source (and variations in this form) in a functional manner. The definition accommodates information stemming from environmental cues as well as from evolved signals, and calls for a comparison between information‐transmission in different types of inheritance (...) systems—the genetic, the epigenetic, the behavioral, and the cultural‐symbolic. This comparative perspective highlights the different ways in which information is acquired and transmitted, and the role that such information plays in heredity and evolution. Focusing on the special properties of the transfer of information, which are very different from those associated with the transfer of materials or energy, also helps to uncover interesting evolutionary effects and suggests better explanations for some aspects of the evolution of communication. (shrink)

There are many different notions of information in logic, epistemology, psychology, biology and cognitive science, which are employed differently in each discipline, often with little overlap. Since our interest here is in biological processes and organisms, we develop a taxonomy of functional information that extends the standard cue/signal distinction. Three general, main claims are advanced here. This new taxonomy can be useful in describing learning and communication. It avoids some problems that the natural/non-natural information distinction faces. Functional information is​ ​produced (...) through exploration and stabilisation processes. (shrink)

The Peircean semiotic approach to information that we developed in previous papers raises several new questions, and shows both similarities and differenceswith regard to other accounts of information. We do not intend to present here any exhaustive discussion about the relationships between our account and otherapproaches to information. Rather, our interest is mainly to address its relationship to ideas about information put forward by Gregory Bateson and Eva Jablonka. We conclude that all these authors offer quite broad concepts of information, (...) but we argue that they are just as broad as they should be, since information is in itself a sweeping concept. Furthermore, all of them suggest a processual approach to information, which departs from the treatment of information as something that is contained in some structure (e.g., in sequences of nucleotides) and moves towards an understanding of information as a process — in terms of our account, a semiotic process, i.e., semiosis. (shrink)

Treatise on political power, statecraft, and the qualities of the ideal ruler.

Scientific knowledge grows at a phenomenal pace--but few books have had as lasting an impact or played as important a role in our modern world as The Mathematical Theory of Communication, published originally as a paper on communication theory more than fifty years ago. Republished in book form shortly thereafter, it has since gone through four hardcover and sixteen paperback printings. It is a revolutionary work, astounding in its foresight and contemporaneity. The University of Illinois Press is pleased and honored (...) to issue this commemorative reprinting of a classic. (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)

Tom Stonier writes from the perspective of a theoretical biologist looking at the evolution of information systems as a basis for studying the phenomena of information, intelligence and meaning. Through his exploration of the 'meaning of meaning', and by looking at how neurons create a brain which understands information inputs and then operates on the information received, he is able to propose a theory of how the brain works and to explore how this theory may be used in the development (...) of information science. (shrink)

"Knowing how we know" is the subject of this book. Its authors present a new view of cognition that has important social and ethical implications, for, they assert, the only world we humans can have is the one we create together through the actions of our coexistence. Written for a general audience as well as for students, scholars, and scientists and abundantly illustrated with examples from biology, linguistics, and new social and cultural phenomena, this revised edition includes a new afterword (...) by Dr. Varela, in which he discusses the effect the book has had in the years since its first publication. (shrink)