Keith Yuan Patarroyo, Abhishek Sharma, Sara Walker, Lee Cronin

We introduce AssemblyCA, a framework for utilizing cellular automata(CA) designed to benchmark the potential of open-ended processes. The benchmark quantifies the open-endedness of a system composed of resources, agents interacting with CAs, and a set of generated artifacts. We quantify the amount of open-endedness by taking the generated artifacts or objects and analyzing them using the tools of assembly theory(AT). Assembly theory can be used to identify selection in systems that produce objects that can be decomposable into atomic units, where these objects can exist in high copy numbers. By combining an assembly space measure with the copy number of an object we can quantify the complexity of objects that have a historical contingency. Moreover, this framework allows us to accurately quantify the indefinite generation of novel, diverse, and complex objects, the signature of open-endedness. We benchmark different measures from the assembly space with standard diversity and complexity measures that lack historical contingency. Finally, the open-endedness of three different systems is quantified by performing an undirected exploration in two-dimensional life-like CA, a cultural exploration provided by human experimenters, and an algorithmic exploration by a set of programmed agents.

Read the full article at: openreview.net

Richard Watson

Biological Theory

In this essay we aim to present some considerations regarding a minimal but concrete notion of agency and goal-directed behavior that are useful for characterizing biological systems at different scales. These considerations are a particular perspective, bringing together concepts from dynamical systems, combinatorial problem-solving, and connectionist learning with an emphasis on the relationship between parts and wholes. This perspective affords some ways to think about agents that are concrete and quantifiable, and relevant to some important biological issues. Instead of advocating for a strict definition of minimally agential characteristics, we focus on how (even for a modest notion of agency) the agency of a system can be more than the sum of the agency of its parts. We quantify this in terms of the problem-solving competency of a system with respect to resolution of the frustrations between its parts. This requires goal-directed behavior in the sense of delayed gratification, i.e., taking dynamical trajectories that forego short-term gains (or sustain short-term stress or frustration) in favor of long-term gains. In order for this competency to belong to the system (rather than to its parts or given by its construction or design), it can involve distributed systemic knowledge that is acquired through experience, i.e., changes in the organization of the relationships among its parts (without presupposing a system-level reward function for such changes). This conception of agency helps us think about the ways in which cells, organisms, and perhaps other biological scales, can be agential (i.e., more agential than their parts) in a quantifiable sense, without denying that the behavior of the whole depends on the behaviors of the parts in their current organization.

Read the full article at: link.springer.com

Axel Constant , Karl John Friston and Andy Clark

Philosophical Transactions of the Royal Society B Volume 379 Issue 1895

How can one conciliate the claim that humans are uncertainty minimizing systems that seek to navigate predictable and familiar environments with the claim that humans can be creative? We call this the Enlightened Room Problem (ERP). The solution, we suggest, lies not (or not only) in the error-minimizing brain but in the environment itself. Creativity emerges from various degrees of interplay between predictive brains and changing environments: ones that repeatedly move the goalposts for our own error-minimizing machinery. By (co)constructing these challenging worlds, we effectively alter and expand the space within which our own prediction engines operate, and that function as ‘exploration bubbles’ that enable information seeking, uncertainty minimizing minds to penetrate deeper and deeper into artistic, scientific and engineering space. In what follows, we offer a proof of principle for this kind of environmentally led cognitive expansion.

Read the full article at: royalsocietypublishing.org

Froese, Tom and Georgii, Karelin and Takashi, Ikegami

Biological processes are end-directed, that is, teleological. Explaining the physical efficacy of end-directedness continues to be a profound challenge for theoretical biology, especially given its unavoidable implications for our own self-understanding. For a comprehensive theory of life, it is pivotal to bridge our human-centric view of end-directedness, which the social sciences and humanities consider intrinsic to our actions, with the natural sciences’ view of actions’ in purely physiological terms, especially in terms of thermodynamic tendencies. A comprehensive theory should therefore provide an end-involving account, which illuminates how both physiology and teleology distinctly contribute to behavior generation. Here we introduce the “Participation Criterion”: End-involvement in a bodily process entails that, in principle, it is distinguishable from one without end-involvement, specifically in terms of physiologically unpredictable changes in unexplainable variability. To exemplify the difficulty of satisfying this criterion, we critically analyze two theories on the thermodynamic basis of end-directedness. We then propose that “Irruption Theory” points to a way forward because it predicts that bodily processes have an end-involvement-dependent increase in their entropy rate. This is consistent with evidence of an association between conscious intention and neural fluctuations, is open to further experimental verification, and provides a novel perspective on the role of thermodynamic entropy production in the organism.

Read the full article at: philsci-archive.pitt.edu

Angad Yuvraj Singh and Sanjay Jain

We present a simple mathematical model that captures the evolutionary capabilities of a prebiotic compartment or protocell. In the model, the protocell contains an autocatalytic set whose chemical dynamics is coupled to the growth–division dynamics of the compartment. Bistability in the dynamics of the autocatalytic set results in a protocell that can exist with two distinct growth rates. Stochasticity in chemical reactions plays the role of mutations and causes transitions from one growth regime to another. We show that the system exhibits ‘natural selection’, where a ‘mutant’ protocell in which the autocatalytic set is active arises by chance in a population of inactive protocells, and then takes over the population because of its higher growth rate or ‘fitness’. The work integrates three levels of dynamics: intracellular chemical, single protocell, and population (or ecosystem) of protocells.

Read the full article at: www.mdpi.com