Headmen, shamans, and mothers: Natural and sexual selection for computational services

Evolution and Human Behavior, Journal Year: 2025, Volume and Issue: 46(1), P. 106651 - 106651

Published: Jan. 1, 2025

Language: Английский

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Assembly Theory of Binary Messages

Mathematics, Journal Year: 2024, Volume and Issue: 12(10), P. 1600 - 1600

Published: May 20, 2024

Using assembly theory, we investigate the pathways of binary strings (bitstrings) length N formed by joining bits present in pool and bitstrings that entered as a result previous operations. We show bitstring index is bounded from below shortest addition chain for N, conjecture about form upper bound. define degree causation minimum that, certain values, it has regularities can be used to determine N. with smallest assembled via program equal this if expressible product Fibonacci numbers. Knowing problem determining at least NP-complete, while creating so would have predetermined largest NP-hard. The proof imply P ≠ NP since every computable solution encoded finite bitstring. lower bound on implies creative path an optimization evolution information, where only latter available Turing machines (artificial intelligence). Furthermore, hints role dissipative structures collective, particular human, intelligence evolution.

Language: Английский

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Understanding collective behavior in biological systems through potential field mechanisms

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 29, 2025

Collective behavior in biological systems emerges from local interactions among individuals, enabling groups to adapt dynamic environments. Traditional modeling approaches, such as bottom-up and top-down models, have limitations accurately representing these complex interactions. We propose a novel potential field mechanism that integrates environmental influences explain collective behavior. This study introduces fields, where individuals perceive respond fields generated by cues other individuals. develop mathematical framework combining distributed learning swarm control simulate analyze under varying conditions. Our simulations span variety of conditions, including standard environments organisms interact typical high noise are disrupted random fluctuations, density with increased competition for space, risk featuring areas strong negative field, multiple resource degrees availability. These demonstrate the adaptability resilience changing challenging Results reveal how facilitate emergence stable coordinated behaviors, providing insights into self-organization, cooperation, nature. enhances our understanding has implications bio-robotics, systems, networks.

Language: Английский

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Life, its origin, and its distribution: a perspective from the Conway-Kochen Theorem and the Free Energy Principle

Communicative & Integrative Biology, Journal Year: 2025, Volume and Issue: 18(1)

Published: Feb. 17, 2025

We argue here that the Origin of Life (OOL) problem is not just a chemistry but also, and primarily, cognitive science problem. When interpreted through lens Conway-Kochen theorem Free Energy Principle, contemporary physics characterizes all complex dynamical systems persist time as Bayesian agents. If persistent are to some – perhaps only minimal extent cognitive, alive, or living subset systems? no bright line can be drawn, we re-assess, from this perspective, Fermi paradox Drake equation. conclude improving our abilities recognize communicate with diverse intelligences in embodiments, whether based on familiar biochemistry not, will either resolve obviate OOL

Language: Английский

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Neurons as autonomous agents: A biologically inspired framework for cognitive architectures in artificial intelligence

Cognitive Systems Research, Journal Year: 2025, Volume and Issue: unknown, P. 101338 - 101338

Published: Feb. 1, 2025

Language: Английский

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A vision of human–AI collaboration for enhanced biological collection curation and research

BioScience, Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

Abstract Natural history collections play a crucial role in our understanding of biodiversity, informing research, management, and policy areas such as biosecurity, conservation, climate change, food security. However, the growing volume specimens associated data presents significant challenges for curation management. By leveraging human–AI collaborations, we aim to transform way biological are curated managed, realizing their full potential addressing global challenges. In this article, discuss vision improving management using collaboration. We explore rationale behind approach, faced general problems, benefits that could be derived from incorporating AI-based assistants collection teams. Finally, examine future possibilities collaborations between human digital curators collection-based research.

Language: Английский

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Chemical AI in the Limelight: The Contribution of Photochromic Materials and Oscillatory Chemical Reactions

Advanced Optical Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Abstract Chemical Artificial Intelligence (CAI) is the burgeoning research field devising chemical systems in “wetware” (i.e., liquid solutions) to mimic biological intelligence competencies. UV–visible radiation valuable for maintaining those out‐of‐equilibrium, prompting them respond optical and other physicochemical signals probing their evolution. As it occurs all kingdoms of life, photochromic compounds play a relevant role. Several living beings exploit switches variegate responses features environmental light. This work proposes plausible justification by evidencing how each photochrome can be conceived as trivial form Markov blanket implement (i) forward, (ii) final, (iii) circular causalities. Furthermore, materials are appropriate processing Boolean fuzzy logic, exploiting reactivity, chaos, quantum computing. Finally, molecules oscillatory reactions promising ingredients developing neuromorphic engineering wetware based on signals. CAI inspires design adaptive, active, autonomous systems, which help humanity colonize molecular world against diseases, pollution, poverty.

Language: Английский

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Basal Xenobot transcriptomics reveals changes and novel control modality in cells freed from organismal influence

Communications Biology, Journal Year: 2025, Volume and Issue: 8(1)

Published: April 22, 2025

Abstract Would transcriptomes change if cell collectives acquired a novel morphogenetic and behavioral phenotype in the absence of genomic editing, transgenes, heterologous materials, or drugs? We investigate effects morphology nascent emergent life history on gene expression basal (no engineering, no sculpting) form Xenobots —autonomously motile constructs derived from Xenopus embryo ectodermal explants. To differences between cells context an with those that have been freed instructive signals lived experiences, we compare these age-matched embryos. Basal show significantly larger inter-individual variability than embryos, suggesting increased exploration transcriptional space. identify at least 537 (non-epidermal) transcripts uniquely upregulated Xenobots. Phylostratigraphy shows majority transcriptomic shifts towards evolutionarily ancient transcripts. Pathway analyses indicate categories motility machinery, multicellularity, stress immune response, metabolism, thanatotranscriptome, sensory perception sound mechanical stimuli. experimentally confirm respond to acoustic stimuli via changes behavior. Together, data may implications for evolution, biomedicine, synthetic morphoengineering.

Language: Английский

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Society/nature: Enactive perspectives for social systems theory

Current Sociology, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

This article examines the society/nature distinction within sociological and anthropological discourse, particularly concerning Luhmann’s social systems theory. The increasing urgency surrounding climate change complexities of Anthropocene has necessitated reconsidering this dichotomy, often seen as reinforcing sociocentrism. Social theory’s emphasis on system/environment overlooked importance environment, relegating it to a mere backdrop for societal functioning. By engaging with three critical perspectives – Ontological Relativism, Transcendent Connectionism, Circular Cosmologism we emphasize both contributions shortcomings theory in regard. We then propose synthesis these insights through systemic enactive approach, suggesting that its theoretical framework can enhance our understanding Ultimately, aims open new research avenues address intricate relationship between their natural environments.

Language: Английский

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Meat Meets Machine! Multiscale Competency Enables Causal Learning

Published: April 23, 2024

Biological intelligence uses a “multiscale competency architecture” (MCA). It exhibits adaptive, goal directed behaviour at all scales, from cells to organs organisms. In contrast, machine is only adaptive and high level. Learned policies are passively interpreted using abstractions (e.g. arithmetic) embodied in static interpreters x86). excels causal learning. Machine does not. Previous work showed learning follows weak policy optimisation, which hindered by presupposed silico. Here we formalise MCAs as nested “agentic abstraction layers”, understand how they might learn causes. We show that optimisation low levels enables high. This facilitates what call learning” level behaviour. argue engineering human silico disconnect the gave rise it. inhibits learning, speculate this one reason why recall would be accompanied feeling,

Language: Английский

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