Artificial Intelligences: A Bridge Toward Diverse Intelligence and Humanity's Future

Advanced Intelligent Systems, Год журнала: 2025, Номер unknown

Опубликована: Апрель 29, 2025

Recent discussions and debate around artificial intelligence (AI) its status are notably incomplete, missing the implications of highly relevant aspects emerging fields diverse (DI) synthetic morphology, as well basic facts developmental biology. Herein, it is argued that human flourishing impossible without an appreciation space possible beings ways in which today's intelligent machine debates about universal existential questions facing biological beings, not just AI. The inevitable arrival a wide set unconventional bodies minds humans modify create new forms will disrupt untenable old narratives what people how to recognize their sentient allies unfamiliar guises. issues engendered by advent AI from perspective field DI evolutionary history discussed.

Язык: Английский

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Fundamental Principles of Cognitive Biology 2.0

Biological Theory, Год журнала: 2025, Номер unknown

Опубликована: Май 2, 2025

Язык: Английский

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Biology in the 21st century: Natural selection is cognitive selection

Progress in Biophysics and Molecular Biology, Год журнала: 2024, Номер 190, С. 170 - 184

Опубликована: Май 11, 2024

Язык: Английский

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AI as Custodian of Space-Faring Humanity: Insights from Science Fiction

AIAA SCITECH 2022 Forum, Год журнала: 2024, Номер unknown

Опубликована: Янв. 4, 2024

One could easily argue for the case that we live in age of reinvigorated passion space exploration and artificial intelligence alike. Auras both hope fear surround technological achievements these two domains, as has arguably always been since earliest memories cautionary tales human creative capabilities our yearning to tinker with proverbial natural order things. In this paper, examine a number works science fiction deep insights can be found on how themes interact collective unconscious. Far-future deep-space expansion seems difficult conceptualise without some form at its core key enabler. To provide reading selected fictional works, summary relevant from real-life technology. Then, present body work (mainly science-)fiction whose common motif is which - better worse space-faring humanity would seemingly never "make it" into outer space. Under hard hypothesis such future interplanetary conceptualised an integral, unitary object commonly fantasy essay portrays child upbringing trusted only benevolent, parent-like, artificially intelligent entity, bridge gap between very limited limitless space-time scales cosmos conquered.

Язык: Английский

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A Systematic Approach to Autonomous Agents

Philosophies, Год журнала: 2024, Номер 9(2), С. 44 - 44

Опубликована: Март 27, 2024

Agents and agent-based systems are becoming essential in the development of various fields, such as artificial intelligence, ubiquitous computing, ambient autonomous intelligent robotics. The concept agents, inspired by observed agency living systems, is also central to current theories on origin, development, evolution life. Therefore, it crucial develop an accurate understanding agents agency. This paper begins discussing role natural inspiration motivation for agential technologies then introduces idea agents. A systematic approach presented classification aids existing state projects their potential future roles addressing specific types problems with dedicated agent types.

Язык: Английский

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From Richer to Leaner cultures and minds: How depth of standardization as an evolutionary dynamic drives changes in technology, social structure, and cross-cultural cognitive variation

Опубликована: Авг. 13, 2024

The transition from small-scale, traditional societies to industrialized with mandatory schooling involved vast, correlated changes in social and cognitive organization. Socially, it has seen rising individualism; declining importance of kinship networks; rules that are increasingly formalized impersonal; division life into discretized contexts; increasing reliance on technology; the prominence formal instruction (of type found schools). These track cross-cultural differences use abstraction generalization, performance fluid intelligence executive function tasks, analytic vs. holistic styles. Here we develop a unified account these interrelated social-cognitive changes, showing how they driven, part, by common evolutionary dynamic: Increases depth standardization. In our terms, Rich cultural systems those limited standardization their processes, while Lean extreme - prototypically post-industrial WEIRD societies. We give systems- level shift systems, drawing network science concepts principles emerging recent work developmental biology. Armed concepts, show many apparently disparate domains such as norms institutions, structures, material culture fact manifestations turn, profoundly alter environments, producing observed psychology. Ultimately, see this only another step towards general, systems-level structural dynamics an ecology mind.

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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The Multiscale Wisdom of the Body: Collective Intelligence as a Tractable Interface for Next‐Generation Biomedicine

BioEssays, Год журнала: 2024, Номер unknown

Опубликована: Дек. 2, 2024

ABSTRACT The dominant paradigm in biomedicine focuses on genetically‐specified components of cells and their biochemical dynamics, emphasizing bottom‐up emergence complexity. Here, I explore the biomedical implications a complementary emerging field: diverse intelligence. Using tools from behavioral science multiscale neuroscience, we can study development, regenerative repair, cancer suppression as behaviors collective intelligence navigating spaces possible morphologies transcriptional physiological states. A focus competencies living material—from molecular to organismal scales—reveals new landscape for interventions. Such top‐down approaches take advantage memories homeodynamic goal‐seeking behavior tissues, offering same massive advantages bioengineering that reprogrammable hardware has provided information technologies. bioelectric networks bind individual toward large‐scale anatomical goals are an especially tractable interface organ‐level plasticity, modulate them already exist. This suggests research program understand tame software life therapeutic gain by understanding many examples basal cognition operate throughout bodies.

Язык: Английский

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AI-driven Automated Discovery Tools Reveal Diverse Behavioral Competencies of Biological Networks

Опубликована: Окт. 11, 2023

Many applications in biomedicine and synthetic bioengineering depend on the ability to understand, map, predict, control complex, context-sensitive behavior of chemical genetic networks. The emerging field diverse intelligence has offered frameworks with which investigate exploit surprising problem-solving capacities unconventional agents. However, for systems that are not conventional animals used science, there few quantitative tools facilitate exploration their competencies, especially when complexity makes it infeasible use unguided . Here, we formalize a view gene regulatory networks as agents navigating problem space. We develop automated efficiently map repertoire robust goal states GRNs can reach despite perturbations. These rely two main contributions make this paper: (1) Using curiosity-driven algorithms, originating from AI community explore range behavioral abilities given system, adapt leverage automatically discover reachable (2) Proposing battery empirical tests inspired by implementation-agnostic behaviorist approaches assess navigation competencies. Our data reveal models inferred real biological surprisingly wide spectrum steady states, while showcasing various competencies living often exhibit, physiological network dynamics do require structural changes properties or connectivity. Furthermore, applicability discovered “behavioral catalogs” comparing evolved across classes networks, well design drug interventions biomedical contexts bioengineering. Altogether, these resulting emphasis behavior-shaping exploitation innate open path better interrogation platforms exploring complex an efficient cost-effective manner. To read interactive version paper, please visit https://developmentalsystems.org/curious-exploration-of-grn-competencies.

Язык: Английский

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AI-driven Automated Discovery Tools Reveal Diverse Behavioral Competencies of Biological Networks

eLife, Год журнала: 2024, Номер 13

Опубликована: Фев. 15, 2024

Many applications in biomedicine and synthetic bioengineering rely on understanding, mapping, predicting, controlling the complex behavior of chemical genetic networks. The emerging field diverse intelligence investigates problem-solving capacities unconventional agents. However, few quantitative tools exist for exploring competencies non-conventional systems. Here, we view gene regulatory networks (GRNs) as agents navigating a problem space develop automated to map robust goal states GRNs can reach despite perturbations. Our contributions include: (1) Adapting curiosity-driven exploration algorithms from AI discover range reachable GRNs, (2) Proposing empirical tests inspired by behaviorist approaches assess their navigation competencies. data shows that models inferred biological wide spectrum steady states, exhibiting various physiological network dynamics without requiring structural changes properties or connectivity. We also explore applicability these ‘behavioral catalogs’ comparing evolved across networks, designing drug interventions biomedical contexts bioengineering. These emphasis behavior-shaping open new paths efficiently For interactive version this paper, please visit https://developmentalsystems.org/curious-exploration-of-grn-competencies .

Язык: Английский

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