The concept of agency is of crucial importance in cognitive science and artificial intelligence, and it is often used as an intuitive and rather uncontroversial term, in contrast to more abstract and theoretically heavy-weighted terms like “intentionality”, “rationality” or “mind”. However, most of the available definitions of agency are either too loose or unspecific to allow for a progressive scientific program. They implicitly and unproblematically assume the features that characterize agents, thus obscuring the full potential and challenge of modeling agency. (...) We identify three conditions that a system must meet in order to be considered as a genuine agent: a) a system must define its own individuality, b) it must be the active source of activity in its environment (interactionalasymmetry) and c) it must regulate this activity in relation to certain norms (normativity). We find that even minimal forms of proto-celular systems can already provide a paradigmatic example of genuine agency. By abstracting away some specific details of minimal models of living agency we define the kind of organization that is capable to meet the required conditions for agency (which is not restricted to living organisms). On this basis, we define agency as an autonomous organization that adaptively regulates its coupling with its environment and contributes to sustaining itself as a consequence. We find that spatiality and temporality are the two fundamental domains in which agency spans at different scales. We conclude by giving an outlook to the road that lies ahead in the pursuit to understand, model and synthesis agents. (shrink)

Synthetic biology is an increasingly high-profile area of research that can be understood as encompassing three broad approaches towards the synthesis of living systems: DNA-based device construction, genome-driven cell engineering and protocell creation. Each approach is characterized by different aims, methods and constructs, in addition to a range of positions on intellectual property and regulatory regimes. We identify subtle but important differences between the schools in relation to their treatments of genetic determinism, cellular context and complexity. These distinctions tie into (...) two broader issues that define synthetic biology: the relationships between biology and engineering, and between synthesis and analysis. These themes also illuminate synthetic biology's connections to genetic and other forms of biological engineering, as well as to systems biology. We suggest that all these knowledge-making distinctions in synthetic biology raise fundamental questions about the nature of biological investigation and its relationship to the construction of biological components and systems. (shrink)

In this paper we review and argue for the relevance of the concept of open-ended evolution in biological theory. Defining it as a process in which a set of chemical systems bring about an unlimited variety of equivalent systems that are not subject to any pre-determined upper bound of organizational complexity, we explain why only a special type of self-constructing, autonomous systems can actually implement it. We further argue that this capacity derives from the ‘dynamic decoupling’ (in its minimal or (...) most basic sense: the phenotype–genotype decoupling) by means of which a radically new way of material organization (minimal living organization) is achieved, allowing for the long-term sustenance of systems whose individual-metabolic and collective-historical pathways become thereafter deeply intertwined. (shrink)

Synthetic biology is an increasingly high‐profile area of research that can be understood as encompassing three broad approaches towards the synthesis of living systems: DNA‐based device construction, genome‐driven cell engineering and protocell creation. Each approach is characterized by different aims, methods and constructs, in addition to a range of positions on intellectual property and regulatory regimes. We identify subtle but important differences between the schools in relation to their treatments of genetic determinism, cellular context and complexity. These distinctions tie into (...) two broader issues that define synthetic biology: the relationships between biology and engineering, and between synthesis and analysis. These themes also illuminate synthetic biology's connections to genetic and other forms of biological engineering, as well as to systems biology. We suggest that all these knowledge‐making distinctions in synthetic biology raise fundamental questions about the nature of biological investigation and its relationship to the construction of biological components and systems. BioEssays 30:57–65, 2008. © 2007 Wiley Periodicals, Inc. (shrink)

Mechanistic explanations of cognitive activities are ubiquitous in cognitive science. Humanist critics often object that mechanistic accounts of the mind are incapable of accounting for the moral agency exhibited by humans. We counter this objection by offering a sketch of how the mechanistic perspective can accommodate moral agency. We ground our argument in the requirement that biological systems be active in order to maintain themselves in nonequilibrium conditions. We discuss such consequences as a role for mental mechanisms in controlling active (...) systems and agents’ development of a self concept in which the self is represented as a moral agent. (shrink)