For several decades, Dr. Morris has worked primarily with twoproblems: the development of a general theory of signs, and thedevelopment of a general theory of value. He approached both problemsin terms of George Mead's theory of action or behavior. This bookbrings together these two lines of development. For several decades, Dr. Morris has worked primarily with two problems: the development of a general theory of signs, and the development of a general theory of value. He approached both problems in terms (...) of George Mead's theory of action or behavior. This book brings together these two lines of development. In many languages there is a term like the English "meaning" which has two poles: that which something signifies and the value or significance of what is signified. The nature of signification and significance, as well as their relations within human behavior, is the subject matter of this book. This book is addressed to philosophers and to students of the behavioral sciences, but it will also appeal to anyone seriously interested in the study of human communication. (shrink)

Computing Methodologies -- Artificial Intelligence.

For several decades, Dr. Morris has worked primarily with twoproblems: the development of a general theory of signs, and thedevelopment of a general theory of value. He approached both problemsin terms of George Mead's theory of action or behavior. This bookbrings together these two lines of development. For several decades, Dr. Morris has worked primarily with two problems: the development of a general theory of signs, and the development of a general theory of value. He approached both problems in terms (...) of George Mead's theory of action or behavior. This book brings together these two lines of development. In many languages there is a term like the English "meaning" which has two poles: that which something signifies and the value or significance of what is signified. The nature of signification and significance, as well as their relations within human behavior, is the subject matter of this book. This book is addressed to philosophers and to students of the behavioral sciences, but it will also appeal to anyone seriously interested in the study of human communication. (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)

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)

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)

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)

In this book a noted physiologist and neuroscientist introduces the concept of simplexity, the set of solutions living organisms find that enable them to deal with information and situations, while taking into account past experiences and anticipating future ones. Such solutions are new ways of addressing problems so that actions may be taken more quickly, more elegantly, and more efficiently. In a sense, the history of living organisms may be summed up by their remarkable ability to find solutions that avoid (...) the world's complexity by imposing on it their own rules and functions. Evolution has resolved the problem of complexity not by simplifying but by finding solutions whose processes--though they can sometimes be complex--allow us to act in the midst of complexity and of uncertainty. Nature can inspire us by making us realize that simplification is never simple and requires instead that we choose, refuse, connect, and imagine, in order to act in the best possible manner. Such solutions are already being applied in design and engineering and are significant in biology, medicine, economics, and the behavioral sciences. (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.

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)

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)

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)

Upshot: Constructionism must return to its epistemological roots to make any lasting impact on education. Constructionism should be transformed from a framework of action into ways to conceptualize and record what people actually do in constructionist environments so that theories of knowledge-building acts can be tested and the designing of those environments can be made more effective.