Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 11 - 21
Опубликована: Янв. 1, 2024
Язык: Английский
Evolution and Human Behavior, Год журнала: 2025, Номер 46(1), С. 106651 - 106651
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
Mathematics, Год журнала: 2024, Номер 12(10), С. 1600 - 1600
Опубликована: Май 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.
Язык: Английский
Процитировано
4
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Янв. 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.
Язык: Английский
Процитировано
0
Communicative & Integrative Biology, Год журнала: 2025, Номер 18(1)
Опубликована: Фев. 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
Язык: Английский
Процитировано
0
Cognitive Systems Research, Год журнала: 2025, Номер unknown, С. 101338 - 101338
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0
BioScience, Год журнала: 2025, Номер unknown
Опубликована: Март 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.
Язык: Английский
Процитировано
0
Advanced Optical Materials, Год журнала: 2025, Номер unknown
Опубликована: Апрель 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.
Язык: Английский
Процитировано
0
Communications Biology, Год журнала: 2025, Номер 8(1)
Опубликована: Апрель 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.
Язык: Английский
Процитировано
0
Current Sociology, Год журнала: 2025, Номер unknown
Опубликована: Апрель 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.
Язык: Английский
Процитировано
0
Опубликована: Апрель 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,
Язык: Английский
Процитировано
3