Online research in philosophy

: In this paper, we intend to discuss if and in what sense semiosis (meaning process, cf. C. S. Peirce) can be regarded as an "emergent" process in semiotic systems. It is not our problem here to answer when or how semiosis emerged in nature. As a prerequisite for the very formulation of these problems, we are rather interested in discussing the conditions which should be fulfilled for semiosis to be characterized as an emergent process. The first step in this work is to summarize a systematic analysis of the variety of emergence theories and concepts, elaborated by Achim Stephan. Along the summary of this analysis, we pose fundamental questions that have to be answered in order to ascribe a precise meaning to the term "emergence" in the context of an understanding of semiosis. After discussing a model for explaining emergence based on Salthe's hierarchical structuralism, which considers three levels at a time in a semiotic system, we present some tentative answers to those questions.

This paper examines how metaphors can play a key role in triggering individual emergence. Metaphor is referenced in two main ways: the enthalpy metaphor is used to provide understanding of, and guide, the process of effective conversation. Metaphor is also interpreted very broadly to define those images, analogies, concepts, models, and theories that define our understanding of the world and our perception. It is our perception that must change if we are to improve the future. The paper examines how sharing of appropriate metaphor through conversation can lead to collective emergence; and similarly, how integral conversation-with-self triggered by metaphors in (1) conversation with others, (2) other external stimuli, and (3) internal thought processes, can trigger individual emergence. The paper examines which of the three sources of trigger may be singly/jointly or sequentially the most powerful in their effect of triggering individual emergence, and under what context. The model presented is evaluated for the process of emergence of the paper. The reader is invited to participate in furthering the evaluation process. The author's own individual emergence is recognized as stemming from ongoing association with, and inspiration of, Bela Banathy, to whom the work is dedicated.

There are many facets to mental life and mental experience. In this chapter, I attempt to account for some central characteristics among those facets. I argue that normative function and representation are emergent in particular forms of the self-maintenance of far from thermodynamic equilibrium systems in their essential far-from-equilibrium conditions. The nature of representation that is thereby modeled.

Historians of science find it difficult to pinpoint to an exact period in which symbolic algebra came into existence. This can be explained partly because the historical process leading to this breakthrough in mathematics has been a complex and diffuse one. On the other hand, it might also be the case that in the early twentieth century, historians of mathematics over emphasized the achievements in algebraic procedures and underestimated the conceptual changes leading to symbolic algebra. This paper attempts to provide a more precise setting for the historical context in which this decisive step to symbolic reasoning took place. For that purpose we will consider algebraic problem solving as model-based reasoning and symbolic representation as a model. This allows us to characterize the emergence of symbolic algebra as a shift from a geometrical to a symbolic mode of representation. The use of the symbolic as a model will be situated in the context of mercantilism where merchant activity of exchange has led to reciprocal relations between money and wealth.

An investigation into the conditions conducive to the emergence of heterogeneity amoung agents is presented. This is done by using a model of creative artificial agents to investigate some of the possibilities. The simulation is based on Brian Arthur's 'El Farol Bar' model but extended so that the agents also learn and communicate. The learning and communication is implemented using an evolutionary process acting upon a population of strategies inside each agent. This evolutionary learning process is based on a Genetic Programming algorithm. This is chosen to make the agents as creative as possible and thus allow the outside edge of the simulation trajectory to be explored. A detailed case study from the simulations show how the agents have differentiated so that by the end of the run they had taken on qualitatively different roles. It provides some evidence that the introduction of a flexible learning process and an expressive internal representation has facilitated the emergence of this heterogeneity.

The paper uses ideas from Machine Learning, Artificial Intelligence and Genetic Algorithms to provide a model of the development of a fight-or-flight response in a simulated agent. The modelled development process involves (simulated) processes of evolution, learning and representation development. The main value of the model is that it provides an illustration of how simple learning processes may lead to the formation of structures which can be given a representational interpretation. It also shows how these may form the infrastructure for closely-coupled agent/environment interaction.

The interactivist model has explored a number of consequences of process metaphysics. These include reversals of some fundamental metaphysical assumptions dominant since the ancient Greeks, and multiple further consequences throughout the metaphysics of the world, minds, and persons. This article surveys some of these consequences, ranging from issues regarding entities and supervenience to the emergence of normative phenomena such as representation, rationality, persons, and ethics.

Emergence seems necessary for any naturalistic account of the world — none of our familiar world existed at the time of the Big Bang, and it does now — and normative emergence is necessary for any naturalistic account of biology and mind — mental phenomena, such as representation, learning, rationality, and so on, are normative. But Jaegwon Kim’s argument appears to render causally efficacious emergence impossible, and Hume’s argument appears to render normative emergence impossible, and, in its general form, it precludes any emergence at all. I argue that both of these barriers can be overcome, and, in fact, that they each constitute reductios of their respective underlying presuppositions. In particular, causally efficacious ontological emergence can be modeled, but only within a process metaphysics, thus avoiding Kim’s argument, and by making use of non-abbreviatory forms of definition, thus avoiding Hume’s argument. I illustrate these points with models of the emergent nature of normative function and of representation.

Kim's argument appears to render causally efficacious emergence impossible: Hume's argument appears to render normative emergence impossible, and, in its general form, it precludes any emergence at all. I argue that both of these barriers can be overcome, and, in fact, that they each constitute reductions of their respective underlying presuppositions. In particular, causally efficacious ontological emergence can be modeled, but only within a process metaphysics, thus avoiding Kim's argument, and making use of non-abbreviatory forms of definition, thus avoiding Hume's argument. I illustrate these points with models of the emergent nature of normative function and of representation.

A shift from a metaphysical framework of substance to one of process enables an integrated account of the emergence of normative phenomena. I show how substance assumptions block genuine ontological emergence, especially the emergence of normativity, and how a process framework permits a thermodynamic-based account of normative emergence. The focus is on two foundational forms of normativity, that of normative function and of representation as emergent in a particular kind of function. This process model of representation, called interactivism, compels changes in many related domains. The discussion ends with brief attention to three domains in which changes are induced by the representational model: perception, learning, and language.