Dirk Helbing, Matjaž Perc
In a non-sustainable, “over-populated” world, what might the use of nanotechnology-based targeted, autonomous weapons mean for the future of humanity? In order to gain some insights, we make a simplified game-theoretical thought experiment. We consider a population where agents play the public goods game, and where in parallel an epidemic unfolds. Agents that are infected defectors are killed with a certain probability and replaced by susceptible cooperators. We show that such “nanowars”, even if aiming to promote good behavior and planetary health, fail not only to promote cooperation, but they also significantly increase the probability of repetitive epidemic waves. In fact, newborn cooperators turn out to be easy targets for defectors in their neighborhood. Therefore, counterintuitively, the discussed intervention may even have the opposite effect as desired, promoting defection. We also find a critical threshold for the death rate of infected defectors, beyond which resurgent epidemic waves become a certainty. In conclusion, we urgently call for international regulation of nanotechnology and autonomous weapons.

Read the full article at: arxiv.org

Arthur N. Montanari, Chao Duan, Luis A. Aguirre, and Adilson E. Motter
PNAS January 4, 2022 119 (1) e2113750119;

Observing the states of a network is fundamental to our ability to explore and control the dynamics of complex natural, social, and technological systems. The problem of determining whether the system is observable has been addressed by network control researchers over the past decade. Progress on the further problem of actually designing and implementing efficient algorithms to infer the states from limited measurements has been hampered by the high dimensionality of large-scale networks. Noting that often only a small number of state variables in a network are essential for control, intervention, and monitoring purposes, this work develops a graph-based theory and highly scalable methods that achieve accurate estimation of target variables of network systems with minimal sensing and computational resources.

Read the full article at: www.pnas.org

Francis Heylighen

This paper attempts to clarify the notion of goal-directedness, which is often misunderstood as being inconsistent with standard causal mechanisms. We first note that goal-directedness does not presuppose any mysterious forces, such as intelligent design, vitalism, conscious intention or backward causation. We then review attempts at defining goal-directedness by means of more operational characteristics: equifinality, plasticity, persistence, concerted action and negative feedback. We show that all these features can be explained by interpreting a goal as a far-from-equilibrium attractor of a dynamical system. This implies that perturbations that make the system deviate from its goal-directed trajectory are automatically compensated—at least as long as the system stays within the same basin of attraction. We argue that attractors and basins with the necessary degree of resilience tend to self-organize in complex reaction networks, thus producing self-maintaining “organizations”. These can be seen as an abstract model of the first goal-directed systems, and thus of the origin of life.

Read the full article at: researchportal.vub.be

C. A. Aguilar-Trigueros, L. Boddy, M. C. Rillig & M. D. Fricker 
ISME Communications volume 2, Article number: 2 (2022)

Colonization of terrestrial environments by filamentous fungi relies on their ability to form networks that can forage for and connect resource patches. Despite the importance of these networks, ecologists rarely consider network features as functional traits because their measurement and interpretation are conceptually and methodologically difficult. To address these challenges, we have developed a pipeline to translate images of fungal mycelia, from both micro- and macro-scales, to weighted network graphs that capture ecologically relevant fungal behaviour. We focus on four properties that we hypothesize determine how fungi forage for resources, specifically: connectivity; relative construction cost; transport efficiency; and robustness against attack by fungivores. Constrained ordination and Pareto front analysis of these traits revealed that foraging strategies can be distinguished predominantly along a gradient of connectivity for micro- and macro-scale mycelial networks that is reminiscent of the qualitative ‘phalanx’ and ‘guerilla’ descriptors previously proposed in the literature. At one extreme are species with many inter-connections that increase the paths for multidirectional transport and robustness to damage, but with a high construction cost; at the other extreme are species with an opposite phenotype. Thus, we propose this approach represents a significant advance in quantifying ecological strategies for fungi using network information.

Read the full article at: www.nature.com