The Conformational Contribution to Molecular Complexity and Its Implications for Information Processing in Living Beings and Chemical Artificial Intelligence

Biomimetics, Год журнала: 2024, Номер 9(2), С. 121 - 121

Опубликована: Фев. 19, 2024

This work highlights the relevant contribution of conformational stereoisomers to complexity and functions any molecular compound. Conformers have same structural formulas but different orientations atoms in three-dimensional space. Moving from one conformer another is possible without breaking covalent bonds. The interconversion usually feasible through thermal energy available ordinary conditions. behavior most biopolymers, such as enzymes, antibodies, RNA, DNA, understandable if we consider that each exists an ensemble conformers. Each collection confers multi-functionality adaptability single biopolymers. distribution biopolymer has features a fuzzy set. Hence, every compound conformers allows implementation Since proteins, RNA sets, it fair say life's logic fuzzy. power processing makes living beings capable swift decisions environments dominated by uncertainty vagueness. These performances can be implemented chemical robots, which are confined assemblies mimicking unicellular organisms: they supposed help humans "colonise" world defeat diseases fight pollution environment.

Язык: Английский

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Thermodynamics, Infodynamics and Emergence

Qeios, Год журнала: 2023, Номер unknown

Опубликована: Июль 5, 2023

Emergence of novel processes, properties, structures, and systems is a poorly understood phenomenon. Emergence, information energy are interrelated properties nature: it takes free (energy that produces work, designed as F) to acquire information, increment energy. Useful (Φ), the one increases energy, differs from not producing or entropy. Energy obeys all laws thermodynamics, while may not. When interact, levels emerge. Information can reveal itself in different forms (as entropy, order, complexity, physically encoded, mechanical, biological, structural, neural social networks, etc.). increase by reducing entropy an open system, capturing surroundings. The dynamics has been studied mostly physical-chemistry engineering. Now we find everywhere, including computer sciences, genetics, biotechnology, experimental law. In emergent new possibilities increasing useful appear. Emergent complexity visible transitions subatomic particles atoms, atoms molecules, cells, organisms, societies ecosystems. A law for irreversible thermodynamics stating ΔF ~ ΔΦ, evidenced empirically these confirming INCREASES IN USEFUL INFORMATION AND INCREMENTS FREE ENERGY ARE COUPLED. As helps access more evolution natural selection accumulates ever giving birth life. contrast, decreases might affect amount available system. More noise misleading which These relationships help us understand life, societies, ecosystems, autonomous artificial Quantifying concomitant changes needed relationship between them. endeavor achieve this begun (Jaffe 2023 [https://www.qeios.com/read/2VWCJG.5]).

Язык: Английский

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AI for Technoscientific Discovery: A Human-Inspired Architecture

Journal of Creativity, Год журнала: 2024, Номер 34(2), С. 100077 - 100077

Опубликована: Фев. 8, 2024

We present a high-level architecture for how artificial intelligences might advance and accumulate scientific technological knowledge, inspired by emerging perspectives on human such knowledge. Agents knowledge exercising technoscientific method—an interacting combination of engineering methods. The method maximizes quantity we call "useful learning" via more-creative implausible utility (including the "aha!" moments discovery), as well less-creative plausible utility. Society accumulates advanced agents so that other can incorporate build to make further advances. proposed is challenging but potentially complete: its execution in principle enable an equivalent full range

Язык: Английский

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On the prospects of basal cognition research becoming fully evolutionary: promising avenues and cautionary notes

History & Philosophy of the Life Sciences, Год журнала: 2025, Номер 47(1)

Опубликована: Фев. 6, 2025

Язык: Английский

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Synechism 2.0: Contours of a New Theory of Continuity in Bioengineering

Biosystems, Год журнала: 2025, Номер unknown, С. 105410 - 105410

Опубликована: Фев. 1, 2025

Язык: Английский

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Tracing a new path in the field of AI and robotics: mimicking human intelligence through chemistry. Part II: systems chemistry

Frontiers in Robotics and AI, Год журнала: 2023, Номер 10

Опубликована: Окт. 17, 2023

Inspired by some traits of human intelligence, it is proposed that wetware approaches based on molecular, supramolecular, and systems chemistry can provide valuable models tools for novel forms robotics AI, being constituted soft matter fluid states as the nervous system and, more generally, life, is. Bottom-up mimicries intelligence range from molecular world to multicellular level, i.e., Ångström (10-10 meters) micrometer scales (10-6 meters), allows development unconventional chemical robotics. Whereas conventional lets humans explore colonise otherwise inaccessible environments, such deep oceanic abysses other solar planets, robots will permit us inspect control microscopic cellular worlds. This article suggests made properly chosen compounds implement all those modules are fundamental ingredients every living being: sensory, processing, actuating, metabolic networks. Autonomous be within reach when compartmentalised assembled. The design a strongly intertwined web robots, with or without involvement matter, give rise collective probably reproduce, minimal scale, sophisticated performances intellect "general AI." These remarkable achievements require productive interdisciplinary collaboration among chemists, biotechnologists, computer scientists, engineers, physicists, neuroscientists, cognitive philosophers achieved. principal purpose this paper spark revolutionary collaborative scientific endeavour.

Язык: Английский

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Agency, Goal-Directed Behavior, and Part-Whole Relationships in Biological Systems

Biological Theory, Год журнала: 2023, Номер 19(1), С. 22 - 36

Опубликована: Ноя. 8, 2023

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

Язык: Английский

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Natural Induction: Spontaneous Adaptive Organisation without Natural Selection

Entropy, Год журнала: 2024, Номер 26(9), С. 765 - 765

Опубликована: Сен. 6, 2024

Evolution by natural selection is believed to be the only possible source of spontaneous adaptive organisation in world. This places strict limits on kinds systems that can exhibit adaptation spontaneously, i.e., without design. Physical show some properties relevant or (1) The relaxation, local energy minimisation, a physical system constitutes form optimisation insomuch as it finds locally optimal solutions frustrated forces acting between its components. (2) When internal structure 'gives way' accommodates pattern forcing system, this learning insomuch, store, recall, and generalise past configurations. Both these effects are quite general, but themselves insufficient constitute non-trivial adaptation. However, here we recurrent interaction together results significant organisation. We call induction. effect occurs dynamical described network viscoelastic connections subject occasional disturbances. such slowly across many disturbances relaxations, spontaneously learns preferentially visit increasingly greater quality (exceptionally low energy). induction thus produces organisations improve problem-solving competency with experience (without supervised training system-level reward). note conditions for induction, competency, different from those selection. therefore suggest not

Язык: Английский

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Empowering Chemical AI Through Systems Chemistry

ChemSystemsChem, Год журнала: 2024, Номер unknown

Опубликована: Сен. 19, 2024

Abstract This work presents some ambitious perspectives on how Systems Chemistry can contribute to developing the quite new research line of Chemical Artificial Intelligence (CAI). CAI refers efforts devising liquid chemical systems mimicking performances biological and human intelligence, which ultimately emerge from wetware. The implemented so far assist humans in making decisions. However, such lack autonomy cannot substitute humans. development autonomous will allow colonization molecular world with remarkable repercussions well‐being. As a beneficial side effect, this help establish deeper comprehension mesmerizing phenomenon origin life Earth cognitive capabilities at basic physico‐chemical level.

Язык: Английский

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Emergent Information Processing: Observations, Experiments, and Future Directions

Software, Год журнала: 2024, Номер 3(1), С. 81 - 106

Опубликована: Март 5, 2024

Science is currently becoming aware of the challenges in understanding very root mechanisms massively parallel computations that are observed literally all scientific disciplines, ranging from cosmology to physics, chemistry, biochemistry, and biology. This leads us main motivation simultaneously central thesis this review: “Can we design artificial, parallel, self-organized, emergent, error-resilient computational environments?” The solely studied on cellular automata. Initially, an overview basic building blocks enabling reach end goal provided. Important information dealing with topic reviewed along highly expressive animations generated by open-source, Python, automata software GoL-N24. A large number simulations examples counter-examples, finalized a list future directions, giving hints partial answers thesis. Together, these pose crucial question whether there something deeper beyond Turing machine theoretical description computing. perspective, including applications robotics biology research, discussed light known information.

Язык: Английский

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