Both biosemiotics and evolutionary epistemology are concerned with how knowledge evolves. (Applied) Evolutionary Epistemology thereby focuses on identifying the units, levels, and mechanisms or processes that underlie the evolutionary development of knowing and knowledge, while biosemiotics places emphasis on the study of how signs underlie the development of meaning. We compare the two schools of thought and analyze how in delineating their research program, biosemiotics runs into several problems that are overcome by evolutionary epistemologists. For one, by emphasizing signs, biosemiotics (...) needs to delineate a semiotic threshold, which is a problem not encountered by evolutionary epistemologists. Instead, the latter recognizes that all organisms are knowers that evolve knowledge, which they recognize to extend toward phenomena produced by organisms such as behavior, cognition, language, culture, science, and technology. Secondly, biosemiotics attempts at continuing adaptationist notions on how organisms relate to their environment, while especially Applied Evolutionary Epistemology comes to redefine the nature of the organism–environment relationship in such a way that it recognizes the spatiotemporal boundedness of existence, which in turn makes adaptationist accounts obsolete. (shrink)

Science is a dynamic process in which the assimilation of new phenomena, perspectives, and hypotheses into the scientific corpus takes place slowly. The apparent disunity of the sciences is the unavoidable consequence of this gradual integration process. Some thinkers label this dynamical circumstance a ‘crisis’. However, a retrospective view of the practical results of the scientific enterprise and of science itself, grants us a clear view of the unity of the human knowledge seeking enterprise. This book provides many arguments, case (...) studies and examples in favor of the unity of science. These contributions touch upon various scientific perspectives and disciplines such as: Physics, Computer Science, Biology, Neuroscience, Cognitive Psychology, and Economics. (shrink)

The key assumption behind evolutionary epistemology is that animals are active learners or ‘knowers’. In the present study, I updated the concept of natural learning, developed by Henry Plotkin and John Odling-Smee, by expanding it from the animal-only territory to the biosphere-as-a-whole territory. In the new interpretation of natural learning the concept of biological information, guided by Peter Corning’s concept of “control information”, becomes the ‘glue’ holding the organism–environment interactions together. The control information guides biological systems, from bacteria to ecosystems, (...) in the process of natural learning executed by the universal algorithm. This algorithm, summarized by the acronym IGPT (information-gain-process-translate) incorporates natural cognitive methods including sensing/perception, memory, communication, and decision-making. Finally, the biosphere becomes the distributed network of communicative interactions between biological systems termed the interactome. The concept of interactome is based on Gregory Bateson’s natural epistemology known as the “ecology of mind”. Mimicking Bateson’s approach, the interactome may also be designated “physiology of mind”—the principle behind regulating the biosphere homeostasis. (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)

This paper proposes a biosemiotic conception of theories, as non-intentional organic theories, which is based on an analysis and comparison of philosopher Norwood Russell Hanson’s account of theories and zoologist Jakob von Uexküll’s theory of organisms. It is argued that Hanson’s proposals about scientific theories and their relation to observation are semiotic in nature and that there exists a correspondence between Hanson’s depiction of the relationship between theories, observation, and reality and von Uexküll’s views on the relationship between organisms and (...) their environments. This correspondence supports an account of theories that depicts them as organic extensions of our perceptual physiology. Among the epistemological consequences of this account are the following: The kind of correspondence that is established through theories between a subject and reality is related rather to a subject’s actions than to a faithful representation of every aspect of the world, it suggests a strong emphasis on the creative aspects of knowledge acquisition, and it urges a reassessment of the evolutionary epistemology of theories. (shrink)

This special issue for the Journal for General Philosophy of Science is devoted to exploring the impact and many ramifications of current research in evolutionary epistemology. Evolutionary epistemology is an inter- and multidisciplinary area of research that can be divided into two ever-inclusive research avenues. One research avenue expands on the EEM program and investigates the epistemology of evolution. The other research avenue builds on the EET program and researches the evolution of epistemology. Since its conception, EE has developed three (...) schools of thought: adaptationist, non-adaptationist, and applied EE. Although diverse in outlook and theoretical background, these research avenues and schools share the same agenda of understanding how knowledge evolves, and how it relates to the world. In this paper, we first explain wherefrom evolutionary epistemological schools of thought developed, and then we highlight current debates in EE by briefly reviewing the papers that form part of this special issue. (shrink)

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The non-adaptationist approach to evolutionary epistemology was born at the end of the 1970s as an alternative to traditional adaptationist EE. Despite the fact that non-adaptationist EE offers compelling interpretative models and its explanatory power is widely recognised, an organic overview of the broad non-adaptationist field is still lacking. In this paper, I propose to fill this gap. To this effect, after providing a systematisation of the perspectives that are commonly associated with non-adaptationist EE, I will discuss two recurring orders (...) of arguments that non-adaptationist scholars, often independently of one another, put forward against their adaptationist rivals. By offering a way to conceive non-adaptationist evolutionary epistemological approaches as part of a structured whole, the resulting systematic account is meant to provide a reading grid, a compass for orienting oneself in the uneven territories of non-adaptationist EE. Moreover, the consequent identification of two recurring argumentative bodies is intended to add to the explanatory power of non-adaptationist EE, which in finding new strength in numbers eventually acquires a greater critical efficacy against its adaptationist counterpart. (shrink)

Over the last three decades, non-adaptationism has developed as an alternative model to more traditional, adaptationist approaches within Evolutionary Epistemology. Despite its great explanatory strength, non-adaptationist EE finds a potential Achilles heel in its adherence to conceptual relativism, namely the idea that empirical content can be relative to many different and radically incommensurable conceptual schemes. In his seminal essay “On the Very Idea of a Conceptual Scheme”, Donald Davidson did in fact prove the unintelligibility of an analogous form of conceptual (...) relativism. Although Davidson’s original intent was to debunk a conceptual relativist position which he discerned in the works of authors such as Kuhn, Quine, and Whorf, given the apparent similarity between the conceptual relativism supported by non-adaptationist EE and the one criticised by Davidson, one might well wonder if Davidson’s objections would have the same debunking effect if applied to non-adaptationist EE. In this paper I propose to answer this question by directing Davidson’s critiques of conceptual relativism to non-adaptationist EE and by testing to what extent the latter is de facto undermined by Davidson’s attacks. I demonstrate that Davidson’s arguments do not detract from the reliability of non-adaptationist perspectives and, to some extent, they appear to substantiate the non-adaptationist evolutionary epistemological cause anew. (shrink)