Claus Emmeche

A historical sketch of Autonomous Systems Research (ASR) is presented to show its roots in cybernetics, AI, Robotics, Cognitive Science, and in theoretical biology. These connections are considered in the light of the epistemology of human observers as a special kind of agents modeling other systems as representing and eventually realising autonomy. It is argued that ASR must primarily be understood as an opposition to traditional AI style ‘disembodied’ robotics, and that contemporary ASR provides a partial shift of focus towards the organismic roots of cognition. Finally, it is suggested that a deeper understanding of situated autonomous systems as being a kind of complex self-organizing semiotic agents with emergent qualitative properties can be gained from the broad field of theoretical biology, including recent perspectives from Artificial Life, Evolutionary Systems, the Developmental Systems Approach, and Biosemiotics. Inspired by theoretical biology we suggest to investigate a new notion of autonomy that includes a qualitative aspect of the organism.

The evolutionary emergence of biological processes in organisms with inner, qualitative aspects has not been explained in any sufficient way by neurobiology, nor by the traditional neo-Darwinian paradigm — natural selection would appear to work just as well on insentient zombies (with the right behavioral input-output relations) as on real sentient animals. In consciousness studies one talks about the ‘hard problem’ of qualia. In this paper I sketch a set of principles about sign action, causality and emergent evolution. On the basis of these principles, I characterize a concept of cause that would allow for a naturalistic explanation of the origin of consciousness. The suggested account of causation also turns the ‘hard problem’ of qualia into the easier problem of relating experimental biology to experiential biology.

The increasing problem of bioinvasion (the mixing up of natural species characterising the planet's local ecosystems due to globalisation) is investigated as an example of an ecosemiotic problematic. One concern is the scarcity of scientific knowledge about long term ecological and evolutionary consequences of invading species. It is argued that a natural science conception of the ecology of bioinvasion should be supplemented with an ecosemiotic understanding of the significance of these problems in relation to human culture, the question of cultural diversity, and what it means to be indigenous or foreign. Bioinvasion, extinction of native species, and overall decrease in biodiversity, may go along with decreased cultural diversity; as when the loss of local agricultural traditions lead to genetic erosion. There are possible ecosemiotic parallels between language extinction and species extinction, both being related to globalisation. It is argued that the case of bioinvasion reveals the existence of two kinds of ecosemiotic contingency, (1) evolutionary openended and partly random generation of new species and extinction of old ones; (2) the historicity of culture in general and "culture's nature" specifically in the demarcation of a set of landscapes characteristic to a particular nation and piece of human history

A short review of complexity research from the perspective of history and philosophy of biology is presented. Complexity and its emergence has scientific and metaphysical meanings. From its beginning, biology was a science of complex systems, but with the advent of electronic computing and the possibility of simulating mathematical models of complicated systems, new intuitions of complexity emerged, together with attempts to devise quantitative measures of complexity. But can we quantify the complex?

It is argued in this paper that robots are just quasi-autonomous beings, which must be understood, within an emergent systems view, as intrinsically linked to and presupposing human beings as societal creatures within a technologically mediated world. Biosemiotics is introduced as a perspective on living systems that is based upon contemporary biology but reinterpreted through a qualitative organicist tradition in biology. This allows for emphasizing the differences between an organism as a general semiotic system with vegetative and self-reproductive capacities, an animal body also with sentience and phenomenal states, and higher forms of anthroposemiotic systems such as humans, machines and robots. On all three levels, representations are crucial processes. The “representationalism” invoked by critiques of cognitive science and robotics tends to focus only on simplistic notions of representation, and must be distinguished from a Peircean or biosemiotic notion of representation. Implications for theorizing about the physical, biological, animate, phenomenal and social body and their forms of autonomy are discussed.

There were days in the 70s when studying a subject at university and participating in a cultural and social revolution seemed like one and the same thing. When you were studying something like biology there was nothing the least bit strange in the fact that `biomass' became political student slang for the mass of biology students who constantly had to be `mobilized' against the bourgeoisie's reactionary measures directed against the experimental Roskilde University, university Marxism, long student careers and other benefits of the new society. And it seemed quite a matter of course that the biomass could not itself be a revolutionary subject, so it had to be mobilized from without, by the party or the `critical' avant-garde. I don't want to gloat over the romantic revolutionary naiveté of the period - plenty of others do that, although one is unlikely to understand history through irony and condemnation. But in this particular context the thought of the mobilizable mass came up again. Perhaps the very notion of masses - very generally - involves the idea that masses must be without a will of their own, or if they have one, that it is at any rate not very rational and must be given some..

When posing the question "is artificial life possible?", our immediate answer is that on the one hand : of course it is - people make it, and indeed very interesting and even breathtaking structures have already been constructed, such as `aminats', self-reproducing patterns and the other things, we have seen already. In this sense we are forced to take artificial life as a fact (at least as a fact about a new branch of research), nearly in the same way that the philosopher Kant took the theoretical physics of his days, Newtonian physics, as a matter of fact, and then asked: What are the conditions of possibility for this kind of theoretical science? On the other hand: The situation differs from Kant's. Artificial Life does not confront us with an analogy of theoretical mechanics within the field of biology. We face a curious situation: It is not obvious to the majority of biologists that Artificial Life is possible at all, at least in the purely computational sense of `software life'. Probably, most biologists would never call these artificial constructs `living'. Why not? Because the intuitive notions of life and living systems within biology implies, among other things, that living beings are a result of a long, ongoing evolutionary process that have created autonomous organisms, single-celled and multi-celled, that are highly organized, open (non-equilibrium), material thermodynamic systems based on metabolism and some kind of genetic information supported by macromolecules, that only metaphorically resemble a computer program. It is not that..

The strong version of Artificial Life claim that emergent computational patterns may not simply simulate life but realize the very phenomenon. This is one of several reasons why a definition of life is of interest. In this paper, it is argued that the received view of definitions of life in biology and philosophy is misleading. Generality cannot in general be dispensed with. Though criteria for adequacy of definitions are highly context-dependent, definitions of life are of a special nature, belonging to what is here called ontodefinitions. Separate definitions of life fulfilling a set of relevant criteria exist and belong to distinct paradigms of theoretical biology. Emergence is implicit in these. The paper investigates if emergence entails 'downward causation' (several kinds are defined), and asks if computational models can represent higher orders of emergence. Finally, a comment is made on the role of Wittgenstein's philosophy in understanding the nature of explanation and definition in science. --- ### --- Bibliographical note: Earlier versions of this paper were presented at the Princeton History of Science Workshop on "Growing Explanations", Princeton University, February 15, 1997; and at the meeting in the International Society for the History, Philosophy and Social Studies of Biology (ISHPSSB) in Seattle, USA, July 16-21, 1997. Different parts were published in a modified form as 1) Emmeche (1997): "Autopoietic systems, replicators, and the search for a meaningful biologic definition of life", Ultimate Reality and Meaning 20 (4): 244-264 [the original title was: "Is the definition of life important?"], and 2) Emmeche (1998): "Defining life as a semiotic phenomenon", Cybernetics & Human Knowing 5 (1): 3-17. The present web version below contains the complete argument of both articles. A further thoroughly rewritten version, accessible also for non-specialists, was made in collaboration with Charbel Niño El-Hani, and translated by him into Portuguese as a contribution to a book (this version can also be found at web (dot)archive(dot)org)