Matthew D. Egbert

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Since the pioneering work by Julius Adler in the 1960's, bacterial chemotaxis has been predominantly studied as metabolism-independent. All available simulation models of bacterial chemotaxis endorse this assumption. Recent studies have shown, however, that many metabolism-dependent chemotactic patterns occur in bacteria. We hereby present the simplest(More)
Living agency is subject to a normative dimension (good-bad, adaptive-maladaptive) that is absent from other types of interaction. We review current and historical attempts to naturalize normativity from an organism-centered perspective, identifying two central problems and their solution: (1) How to define the topology of the viability space so as to(More)
It has been argued that the difference between an autonomous entity and an agent is in the ability of the latter to perform behaviors supplemental to processes of self-maintenance, e.g. autopoiesis. Theories have been proposed concerning how such behaviors might relate to autopoiesis, but so far, computational models of autopoiesis have paid little(More)
We use a minimal model of metabolism-based chemotaxis to show how a coupling between metabolism and behavior can affect evolutionary dynamics in a process we refer to as behavioral metabolution. This mutual influence can function as an in-the-moment, intrinsic evaluation of the adaptive value of a novel situation, such as an encounter with a compound that(More)
The viability of a living system is a non-trivial concept, yet it is often highly simplified in models of adaptive behavior. What is lost in this abstraction? How do viability conditions appear in the first place? In order to address these questions we present a new model of an autopoietic or protocellular system simulated at the molecular level. We propose(More)
Both metabolism and behavior play a key role in biological theory and artificial life modelling. Yet, despite their centrality there has been very little exploration of the relationship between these concepts and almost no exploration of how the interaction between the two could impact on evolution or instantiate alternative mechanisms for evolutionary(More)
A common problem in the analysis of biological systems is the combinatorial explosion that emerges from the complexity of multi-protein assemblies. Conventional formalisms, like differential equations, Boolean networks and Bayesian networks, are unsuitable for dealing with the combinatorial explosion, because they are designed for a restricted state space(More)
An essential feature of autonomous adaptive agency is that a system behaves according to an intrinsic norm. In this paper, we illustrate and clarify this notion of “behavior according to an intrinsic norm” with a minimalistic model of agency. We present a minimal metabolic system whose auto-catalytic dynamics define a viability region for different(More)