This book invites readers to embark on a journey into the world of agency encompassing humans, other organisms, cells, intracellular molecular agents, colonies, populations, ecological systems, and artificial autonomous systems. We combine mechanistic and non-mechanistic approaches in the analysis of the function and evolution of organisms, their subagents, and multi-organism systems, and in this way offer a theoretical platform for integrating biosemiotics with both natural science and the humanities/social sciences. Agents are autonomous systems that incorporate knowledge on how to make sense of their environment and use it to achieve their goals. The functions of all agents are supported by mechanisms at the lowest level; however, the explanatory power of mechanistic analysis is not sufficient for complex agents. Non-mechanistic methods rely on the goal-directedness of agents whose dynamics follow self-stabilized dynamic attractors. The properties of attractors depend on stable or slowly changing factors, and such dependencies can be interpreted as sign relations if they are adaptive in nature. Agents can replace or redirect mechanisms on demand in order to preserve their functions; for performing higher-level semiotic functions, mechanisms are thus only means. We assume that mechanism and semiosis are not mutually exclusive, and that simple agents can interpret signs mechanistically. This assumption allows us to extend semiotic analysis to all agents, including ribosomes in cells, computers, and robots. This book challenges established traditions in natural science and the humanities/social sciences: semiotics no longer appears as restricted to humans and rational thinking, and biology is no longer limited to rely exclusively on mechanistic reasoning.
22 June 1941 changed the direction of the Second World War. It also changed the direction of human history. Unleashing a massive, three-pronged assault into Soviet territory, the German army unwittingly created its own nemesis, forging the modern Russian state in the process. Thus, for most Russians, 22 June 1941 was a critical point in their nation's history. After the first day of Barbarossa nothing would be the same again for anyone. Now, for the first time in English, Russians speak of their experiences on that fatal Sunday. Apparently caught off guard by Hitlers initiative, the Soviets struggled to make sense of a disaster that had seemingly struck from nowhere. Here are generals scrambling to mobilize ill-prepared divisions, pilots defying orders not to grapple with the mighty Luftwaffe, bewildered soldiers showing individual acts of blind courage, and civilians dumbstruck by air raid sirens and radio broadcasts telling of German treachery.
This book invites readers to embark on a journey into the world of agency encompassing humans, other organisms, cells, intracellular molecular agents, colonies, populations, ecological systems, and artificial autonomous systems. We combine mechanistic and non-mechanistic approaches in the analysis of the function and evolution of organisms, their subagents, and multi-organism systems, and in this way offer a theoretical platform for integrating biosemiotics with both natural science and the humanities/social sciences. Agents are autonomous systems that incorporate knowledge on how to make sense of their environment and use it to achieve their goals. The functions of all agents are supported by mechanisms at the lowest level; however, the explanatory power of mechanistic analysis is not sufficient for complex agents. Non-mechanistic methods rely on the goal-directedness of agents whose dynamics follow self-stabilized dynamic attractors. The properties of attractors depend on stable or slowly changing factors, and such dependencies can be interpreted as sign relations if they are adaptive in nature. Agents can replace or redirect mechanisms on demand in order to preserve their functions; for performing higher-level semiotic functions, mechanisms are thus only means. We assume that mechanism and semiosis are not mutually exclusive, and that simple agents can interpret signs mechanistically. This assumption allows us to extend semiotic analysis to all agents, including ribosomes in cells, computers, and robots. This book challenges established traditions in natural science and the humanities/social sciences: semiotics no longer appears as restricted to humans and rational thinking, and biology is no longer limited to rely exclusively on mechanistic reasoning.
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