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A Sourcebook for the Worldwide Discovery of a Creative Organic Universe
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V. Life's Corporeal Evolution Develops, Encodes and Organizes Itself: An EarthWinian Genesis Synthesis

5. Cooperative Member/Group Societies

Hein, Andrew, et al. The Evolution of Distributed Sensing and Collective Computation in Animal Populations. eLife. 4/e10955, 2015. Princeton University, MPI Ornithology, Santa Fe Institute, University of Exeter and University of Konstanz behavioral ecologists including Iain Couzin further describe and quantify a common propensity of all kinds of creatures to form into and maintain a dynamic group-wide viability. This optimal state is achieved an interactive reciprocity between free, constant member inputs, and an overall quorum sensitivity for mutual benefit. See also Conflicts of Interest Improve Collective Computation of Adaptive Social Structures by Eleanor Brush, et al for a similar perception. A further notice is that they tend to be poised in a critical state, along with an affinity with phase transition phenomena in statistical, condensed matter physics.

Many animal groups exhibit rapid, coordinated collective motion. Yet, the evolutionary forces that cause such collective responses to evolve are poorly understood. Here, we develop analytical methods and evolutionary simulations based on experimental data from schooling fish. We use these methods to investigate how populations evolve within unpredictable, time-varying resource environments. We show that populations evolve toward a distinctive regime in behavioral phenotype space, where small responses of individuals to local environmental cues cause spontaneous changes in the collective state of groups. These changes resemble phase transitions in physical systems. Through these transitions, individuals evolve the emergent capacity to sense and respond to resource gradients and to allocate themselves among distinct, distant resource patches. Our results yield new insight into how natural selection, acting on selfish individuals, results in the highly effective collective responses evident in nature. (Abstract)

Hemelrijk, Charlotte. Understanding Social Behavior with the Help of Complexity Science. Ethology. 108/7, 2002. How individual and environmental interactions can give rise to intricate animal societies. Selection is then seen to act on emergent self-organized patterns and effects.

Hemelrijk, Charlotte, ed. Self-Organization and Evolution of Social and Biological Systems. Cambridge: Cambridge University Press, 2005. One of the first collections to gather and recognize nature’s universal propensity to arrange into a similar complex viability across every metazoan plane and niche from invertebrates to languages. See herein citations of salient chapters by Paulien Hogeweg, and Bart de Boer.

This book contains a collection of studies of social behaviour that are mainly biologically oriented and are carried out from the perspective of emergent effects and self-organization…..the entire range of organisms (from single-celled organisms via slugs, insects, fish and primates to humans). The book treats the broadest range of organisms as regards self-organization and social behavior that has been treated so far in one book. (1)

Herbert-Read, James. Understanding How Animal Groups Achieve Coordinated Movement. Journal of Experimental Biology. 219/2971, 2016. A Stockholm University zoologist provides a sophisticated study of complex animal behaviors as they reside and survive in active communities. While variations occur, it is significant that they can be explained by statistical physics phenomena. See also, e.g., Discrete Modes of Social Information Processing Predict Individual Behavior of Fish in a Group by Roy Harpaz, et al at arXiv:1703.03065.

Moving animal groups display remarkable feats of coordination. This coordination is largely achieved when individuals adjust their movement in response to their neighbours' movements and positions. Recent advancements in automated tracking technologies, including computer vision and GPS, now allow researchers to gather large amounts of data on the movements and positions of individuals in groups. Furthermore, analytical techniques from fields such as statistical physics now allow us to identify the precise interaction rules used by animals on the move. Here, I describe how trajectory data can be used to infer how animals interact in moving groups. I give examples of the similarities and differences in the spatial and directional organisations of animal groups between species, and discuss the rules that animals use to achieve this organization. (Abstract Excerpt)

Herbert-Read, James. Understanding How Animal Groups Achieve Coordinated Movement.. Journal of Experimental Biology. 219/2917, 2016. As the Abstract notes, a Stockholm University zoologist shows by way of the latest global faculties how creaturely gatherings exhibit intrinsic, fluid orders which can be traced to stochastic physical principles. With references herein that going back over two decades, these projects appear to be closing on a theoretical and experimental veracity of an innate natural genesis.

Moving animal groups display remarkable feats of coordination. This coordination is largely achieved when individuals adjust their movement in response to their neighbours' movements and positions. Recent advancements in automated tracking technologies, including computer vision and GPS, now allow researchers to gather large amounts of data on the movements and positions of individuals in groups. Furthermore, analytical techniques from fields such as statistical physics now allow us to identify the precise interaction rules used by animals on the move. Here, I describe how trajectory data can be used to infer how animals interact in moving groups. I give examples of the similarities and differences in the spatial and directional organisations of animal groups between species, and discuss the rules that animals use to achieve this organisation. I then examine how the interaction rules between individuals in the same groups can also differ, and discuss how this can affect ecological and evolutionary processes. (Abstract excerpts)

Herbrich, Maxime, et al. Network nestedness in primates: a structural constraint or a biological advantage of social complexity?. arXiv:2402.13658. Université de Strasbourg, Utrecht University, University of Agder, Norway, University of Greenwich, UK, Leibniz Institute for Primate Research, Göttingen, University of Konstanz, Smithsonian Tropical Research Institute, Kyoto University, University of Lausanne, and Inkawu Vervet Project, South Africa animal behaviorists join field work with theoretic studies to conclude that external environs have a larger role than somatic or neural aspects.

This study investigates the prevalence of nestedness within primate social networks by its relationship with cognitive and structural factors. We studied 51 primate groups across 21 species to evaluate nestedness, modularity, neocortex ratio, and group size. We found a significant occurrence of this multiplex feature exceeding chance expectations. Our analysis showed little correlation with neocortex ratio or group size, which suggests a greater role for ecological factors in cognitive evolution. Overall, our research provides new insights into primate social network structures by way of complex interplays between network geometries. (Excerpt)

Higgs, Paul and Niles Lehman. The RNA World: Molecular Cooperation at the Origins of Life. Nature Reviews Genetics. 16/1, 2015. A McMaster University biophysicist and a Portland State University biochemist find a cooperative tendency and benefit even in this nucleotide onset of life evolutionary emergence due to a reciprocity of entities and associations.

The RNA World concept posits that there was a period of time in primitive Earth's history — about 4 billion years ago — when the primary living substance was RNA or something chemically similar. In the past 50 years, this idea has gone from speculation to a prevailing idea. In this Review, we summarize the key logic behind the RNA World and describe some of the most important recent advances that have been made to support and expand this logic. We also discuss the ways in which molecular cooperation involving RNAs would facilitate the emergence and early evolution of life. (Abstract)

The RNA World is the conceptual idea that there was a period in the early history of life on Earth when RNA, or something chemically very similar, carried out most of the information processing and metabolic transformations needed for biology to emerge from chemistry. (1) A key aim of this Review is to describe the different senses in which cooperation is relevant in the RNA World. We argue that RNA replication must also fit into a broader thermodynamic and biological context if this were to form the basis of life. (1)

Hill, Russell, et al. Network Scaling Reveals Consistent Fractal Pattern in Hierarchical Mammalian Societies. Biological Letters. Online September 2, 2008. Along with co-authors Alexander Bentley and Robin Dunbar, a ubiquitous branching webwork is found to not only distinguish human social assemblies but similarly across disparate species such as elephants, gelada and hamadryas baboons, and orca whales.

Recent studies have demonstrated that human societies are hierarchically structured with a consistent scaling ratio across successive layers of the social network; each layer of the network is between three and four times the size of the preceding (smaller) grouping level. Here we show that similar relationships hold for four mammalian taxa living in multi-level social systems.

Hintze, Arend, et al. The Janus Face of Darwinian Competition. Nature Scientific Reports. 5/13662, 2015. Michigan State University, University of Konstanz, Germany, and MPI Human Development psychologists find that a moderate level of personal rivalry is a best case for social viability. Again a reciprocity of considerate individuals and group welfare succeeds over excessive fighting and dominance.

Hofmann, Hans, et al. New Frontiers in the Integrative Study of Animal Behavior. Integrative and Comparative Biology. 56/6, 2016. Social biologists Hofmann, UT Austin, with Suzy Renn, Reed College and Dustin Rubenstein, Columbia University introduce papers from a Symposium with the subtitle Nothing in Neuroscience makes sense except in the light of behavior. The intent is to scope out this project going forward by a synthesis from genetics, brain sciences, environments and creaturely interactions. See also an earlier paper with this title by Rubenstein and Hofmann in Current Opinion in Behavioral Sciences (6/v, 2015).

Ickes, William, ed. Empathic Accuracy. New York: Guilford Press, 1997. An array of papers that quantify the importance of relational values in evolution.

We regard empathy, rapport, intuition, altruism and related concepts as emergent properties of a primordial biological capacity for communication that inheres in the genes.

Ioannou, Christos and Kate Laskowski. A Multi-scale Review of the Dynamics of Collective Behavior: From Rapid Responses to Ontogeny to Evolution. Philosophical Transactions of the Royal Society B. February, 2023. University of Bristol and UC, Davis bioecologists introduce and survey a special collection from a 2022 Royal Society topical meeting. An overall view then describes a recurrent self-organization process in unifying effect. As the select papers below note, once more into these 2020s another take on a steady evolutionary propensity to move toward, gain and avail a group-wide, beneficial social intelligence is persistently evident.

See for example Ontogeny of Collective Behavior by Isabella Muratore and Simon Garnier; A Study of Transfer of Information in Animal Collectives using Deep Learning Tools by Francisco Romero-Ferrero, et al.; Molecular Patterns and Processes in Evolving Sociality: Lessons from Insects by Seirian Sumner, et al.; The Evolution of Intergroup Cooperation by Antonio Rodigues; and Inferring Social Influence in Animal Groups across Multiple Timescales by Vivek Sridhar, et al.

Collective behaviours, such as flocking in birds or decision making by bee colonies, exhibit intriguing behavioural phenomena in the animal kingdom. Their study often focuses on interactions between individuals within groups which occur over close ranges and short timescales. A further aspect is how they drive larger scale properties such as group size, information transfer and group-level decision making. Here, we view collective behaviour from short to longer frames so to gain better understandings all the way to developmental and evolutionary biology. (Ioannou Excerpt)

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