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With the widespread application of artificial intelligence in social and emotional companionship, understanding the intimate relationship between humans and AI has become a critical issue. Human-AI Attachment (HAIA) refers to a one-way, non-reciprocal emotiona…
europepmc
2026
置信度 0.80
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Introduction As AI in education increasingly takes the form of Social Pedagogical Agents (SPAs), learners begin to relate to these systems in human-like ways. Concepts such as social presence, affective support, trust, and rapport are widely studied but scatte…
europepmc
2026
置信度 0.80
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Knowledge graphs have emerged as a powerful paradigm for structuring, organizing and reasoning over complex scientific knowledge, and are increasingly recognized as catalysts for accelerating AI for science. This study provides a comprehensive survey of scient…
europepmc
2026
置信度 0.80
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Background Artificial intelligence (AI) chatbots have become prominent tools in health care to enhance health knowledge and promote healthy behaviors across diverse populations. However, factors influencing the perception of AI chatbots and human-AI interactio…
europepmc
2026
置信度 0.80
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Bryan Lavender, Sami Abuhaimed, Sandip Sen
2024-01-10T11:01:57Z
置信度 0.70
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Franziska Klügl, Hildegunn Kyvik Nordås
2024-04-04T13:38:43Z
置信度 0.70
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This study explores the application of a Vertex AI agent designed to support asset management customers by providing detailed information about investment products through a natural language interface. We discuss the agent's architecture, which integrates an a…
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Ananth Majumdar
2024-11-25T11:16:14Z
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This paper asks two questions: 1. Can an artist embed their knowledge into a large language model? 2. Can a large language model generate images at the request of an unskilled user at a level that would satisfy an artist? To answer these questions, the author …
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Todor Pozharev
2025-01-29T06:11:58Z
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Scaling the operation is the single greatest challenge in every enterprise. The more complex the enterprise, the greater the challenge. Scaling in healthcare has been a consistent challenge, with the need to meet clinical endpoints with less staff, increased c…
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Andrew Borkowski, Alon Ben-Ari
2024
置信度 0.74
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Multi-agent systems are concerned with decision-making tasks where multiple agents act in a shared environment. Agents can observe their environment (partially or fully), act to impact the environment, and might have different or aligned goals. Multi-Agent Sys…
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Vaishali Ingle
2024-10-15T11:57:41Z
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Fiscal Year 2021 (FY21) work from the Engineer Research and Development Center Institute for Systems Engineering Research lever-aged deep reinforcement learning to develop intelligent systems (red team agents) capable of exhibiting credible behavior within a m…
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Christina Rinuado, William Leonard, Christopher Morey, Theresa Coumbe 等
2024-04-17T20:07:57Z
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Abstract Introduction: The increasing complexity of clinical cancer research necessitates the development of automated tools capable of integrating clinical and genomic data while accelerating discovery efforts. Artificial Intelligence agent for High-Optimizat…
preprints
Ei-Wen Yang, Enrique Velazquez-Villarreal
2024
置信度 0.74
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Introduction: Multi-agent systems are an interdisciplinary research field that describes the concept of multiple decisive individuals interacting with a usually partially observable environment. Given the recent advances in single-agent reinforcement learning,…
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Volker Gabler, Dirk Wollherr
2024-04-16T15:58:30Z
置信度 0.70
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Artificial Intelligence (AI) system also consists of an agent-based system and its environment. An agent such as a human or a robot identifies the environment through sensors and effectors. It uses a search and pattern matching method, where the computer is in…
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Niladri Kumar Mitra
2024-08-22T09:31:41Z
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Mehjabin Rahman
2026-01-31T18:46:21Z
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An intelligent AI agent capable of performing tasks in a virtual environment is developed using reinforcement learning techniques. This chapter serves to demonstrate how machine learning and artificial intelligence methods can be employed to deploy an AI agent…
openalex
Geetika Munjal, Monika Lamba
2024-10-04
置信度 0.72
Training (meteorology)ReinforcementReinforcement learningComputer scienceArtificial intelligence
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Crisis management and disaster response are critical domains that benefit immensely from technological advancements.Recent strides in AI, particularly the application of Large Language Models (LLMs), present novel opportunities to enhance coordination, real-ti…
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Oluwatimilehin Odubola
2024-12-09T06:31:31Z
置信度 0.70
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pubmed
Panagiotis Tsiotras, Matthew Gombolay, Jakob Foerster, Tsiotras P 等
2024
置信度 0.82
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Assessing impact on the hallmarks of aging has emerged as a novel method for prioritizing dual-purpose longevity therapeutic targets and developing drugs simultaneously targeting aging and disease. Cellular senescence, a central hallmark of aging, progressivel…
crossref
2025-02-21T16:07:47Z
置信度 0.70
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<p>The primary goal of this effort is to transform how physicians manage the administrative aspects of their medical practices including: appointment scheduling, workflow routing, reminders, referrals, contract analysis, insurance processing as well as a…
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Nicholas Vennaro
2024-08-14T11:23:11Z
置信度 0.70
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The Internet of Robotic Things (IoRT) integrates autonomous robots into smart environments and enables advanced applications in various domains such as smart cities, warehouses, and factories. In this study, we implement a modular IoRT system that can be adapt…
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Yakup Kayataş, Sanem Kabadayı
2024-12-11T22:20:20Z
置信度 0.70
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In science fiction like Westworld and The Sims, we've often encountered narratives where artificial entities coexist with humans in expansive digital realms. With the rapid advancements in AI and blockchain technology, such scenarios are becoming increasingly …
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Eric Yu, Wang Yue, Shi Jianzheng, Wang Xun
2024-07-30T17:50:37Z
置信度 0.70
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The purpose of this study was to propose a conceptual framework that delineates the relationships between artificial intelligence (AI) agents' anthropomorphic cues and consumers' shopping experiences. In the proposed conceptual framework, AI agent anthropomorp…
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Sharmin Shoukat, Wi-Suk Kwon
2024-01-27T00:35:11Z
置信度 0.70
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<strong> EDIT - April 2025 </strong> Since I wrote this blog post in April 2024, "Deep Research" tools have become all the rage, that combine agentic search and producing long form reports are now all the rage. New: See updated Oct 2024 review of U…
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Chee Hsien Tay
2025-12-05T21:16:41Z
置信度 0.70
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University students often face a myriad of challenges that can adversely affect their learning and overall health. However, re-search has shown that a minimal number of students access sup-port for their learning and well-being problems. In this project, we ai…
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Hongren Wang, Shan Tang, Chi Un Lei
2024-04-24T07:55:27Z
置信度 0.70
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<strong> EDIT - April 2025 </strong> Since I wrote this blog post in April 2024, "Deep Research" tools have become all the rage, that combine agentic search and producing long form reports are now all the rage. New: See updated Oct 2024 review of U…
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Chee Hsien Tay
2024-04-09T17:52:17Z
置信度 0.70
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본 논문은 대중들의 의식을 구성하고 있는 인공지능(AI)의 미래에 대한 영향력 있는 서사를 분석함으로 윤리적 문제와 인간의 책임을 성찰하고 인공지능기술 발전으로 제기되는 책임의 공백의 문제를 살펴보고자 한다. 이 글은 기독교 인공지능 윤리의 연구가 심각하게 부족한 현실에서 최근 인공지능 기술개발과 상용화의 과정에서 제기되는 질문인 기독교 인간이해를 토대로 인공지능 기술도전에 응답하는 기독교 인공지능윤리를 위한 기초적 연구이다. 역사적으로 기술은 가치중립적인 개념…
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Un-Hey KIM
2025-01-21T01:12:11Z
置信度 0.70
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Purpose: This study investigates the anticipated differences between consumers' interactions with AI agents and brand experiences in virtual brand spaces, based on brand concepts and the agent's gender. Design/methodology/approach: To test the proposed hypothe…
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Joo-Eon Jeon Joo-Eon Jeon
2024-06-10T01:35:50Z
置信度 0.70
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Xusen Guo, Xinxin Yang, Mingxing Peng, Hongliang Lu 等
2024-10-22T13:43:15Z
置信度 0.70
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Brian O'Neill
2025-08-25T05:05:27Z
置信度 0.70
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Recent research in the field of Large Language Models (LLMs) has given a new direction to the capabilities of AI agents for solving complex problems. This paper attempts to explore one such use case to investigate LLMs-based AI agents’ role in immersive techno…
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Aditi Singh, Saket Kumar, Abul Ehtesham, Tala Talaei Khoei 等
2024-07-10T17:21:40Z
置信度 0.70
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This study investigates the metacognitive capabilities of Large Language Models (LLMs) relative to human metacognition in the context of the International Coaching Federation (ICF)-mimicking exam, a situational judgment test related to coaching competencies. U…
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Jelena Pavlovic
2024-05-09T08:45:46Z
置信度 0.70
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As the market for designer toys expands, consumers are increasingly seeking toys that reflect their unique personalities. Generative AI technology presents a viable solution to cater to this demand. This article proposing innovative solutions that leverage mul…
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Yixuan Liu, Lisha Wang, Zhen Chen, Weiran Lin 等
2025-01-14T19:43:07Z
置信度 0.70
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We present a multimodal AI laboratory agent that captures and shares tacit experimental practice by linking written instructions with hands-on laboratory work through the analysis of video, speech, and text. While current AI tools have proven effective in lite…
preprints
2025
置信度 0.74
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Abstract Advances in generative artificial intelligence (AI) have raised foundational questions about how we conceptualise such entities alongside traditional agents like humans and divine beings. Research demonstrates that both children and adults tend to att…
preprints
2025
置信度 0.74
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ABSTRACT Biomarker discovery for immunotherapy often requires reasoning across complex immune contexts. We present IMMUNIA, a multi-large-language-model (multi-LLM) reasoning agent designed to identify immunoregulatory surfaceome genes through interpretable, b…
preprints
2025
置信度 0.74
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Communication with artificial agents (e.g., animated characters in virtual reality, social robots) is becoming increasingly common. Understanding how to design these agents behaviours to best support social interactions is therefore essential. One key communic…
preprints
2025
置信度 0.74
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Abstract Purpose: Translating state-of-the-art NLP into real-world psychiatric diagnosis is challenging due to a lack of domain-specific contextualization across knowledge, processes, and evaluation. We introduce WiseMind, an interdisciplinary framework design…
preprints
2025
置信度 0.74
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This paper presents GenAI Financial Reporter, a multimodal artificial intelligence system designed to automate the generationof comprehensive financial analysis reports. The system leverages large language models (GPT-4o), retrieval-augmentedgeneration (RAG) w…
preprints
2025
置信度 0.74
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Abstract Adults undergoing hematopoietic cell transplantation often develop serious complications that cause rapid nutritional decline. We developed and evaluated an AI approach to standardize intravenous nutrition (total parenteral nutrition, TPN) during this…
preprints
2025
置信度 0.74
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AI-Powered Speech Therapist Assistant is an in telligent software solution designed to support individuals with Speech Sound Disorders (SSD) and related communication chal lenges by automating key aspects of speech-language therapy. Built using advanced Artifi…
preprints
2025
置信度 0.74
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As Generative Artificial Intelligence (GenAI) rapidly becomes more sophisticated and more widespread, understanding the impact of its perceived humanness on trust is increasingly important. Previous work has shown that anthropomorphism increases the perceived …
preprints
2025
置信度 0.74
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The use of asynchronous video interviews (AVIs) and artificial intelligence (AI)-based decision agents enables more efficient employment screening compared with traditional synchronous video interviews (SVIs). However, the social impacts of using synchrony and…
preprints
2025
置信度 0.74
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ExecMesh introduces two fundamental innovations to blockchain infrastructure: compute credits as DeFi primitives and recursive proof composition for verifiable multi-agent workflows. By transforming verified computational output into tradeable, collateralizabl…
preprints
2025
置信度 0.74
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As the first paper to argue that AI is not a `stochastic parrot' but a form of heterogeneous rationality by distinguishing between Thinking Language and Tool Language—and to systematically discuss and theoretically demonstrate that AI can bypass rules by modif…
preprints
2025
置信度 0.74
-
Abstract Traditional market research methods face significant limitations in cost, speed, and scalability when evaluating product concepts, pricing strategies, and marketing messages before market launch. This paper introduces a novel agent-based framework for…
europepmc
2025
置信度 0.80
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Intelligent agent systems are gaining attention in healthcare, yet unimodal designs constrain their ability to process the heterogeneous multimodal data required for complex clinical tasks. Multimodal artificial intelligence (AI) agent systems have recently em…
preprints
2025
置信度 0.74
-
Observational coding of parent–child interactions is a gold standard in develop-mental science but remains unscalable. Multimodal generative AI could help, yetits reliability and failure modes are not well characterized. We benchmarked amulti-agent pipeline (G…
preprints
2025
置信度 0.74
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Importanc Large language models (LLMs) with retrieval-augmented generation (RAG) show promise for clinical decision support. However, their application is constrained by limited & outdated vector databases, suboptimal evidence retrieval and poor contextual con…
preprints
2025
置信度 0.74
-
Extracting meaningful information from unstructured medical data represents a critical challenge in contemporary healthcare analytics and research, often demanding significant time, computational resources, and specialized expertise from data scientists, there…
preprints
2025
置信度 0.74
-
This paper presents a comprehensive framework for AI-enhanced curriculum development in rare earth elements (REE) education, addressing critical workforce gaps across K-12, higher education, and veteran transition programs. As global demand for critical minera…
preprints
2025
置信度 0.74
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The current research delves into the effects of predictive modeling and explainable artificial intelligence (XAI) as a transformation agent in banking decision making, emphasizing the aspects of fairness and transparency. The Bank Marketing Dataset, acquired f…
preprints
2025
置信度 0.74
-
Artificial intelligence (AI) is revolutionizing protein engineering, yet its practical application is often hindered by a fragmented toolchain and the specialized expertise required to orchestrate complex computational workflows. To address these challenges, w…
preprints
2025
置信度 0.74
-
Recent empirical evidence indicates that Artificial intelligence (AI) systems are achieving, and in some cases surpassing, human-equivalent socioemotional skills across various modalities [1–3]. For instance, models such as GPT-3.5 and GPT-4 have demonstrated …
preprints
2025
置信度 0.74
-
Abstract This paper presents a novel adaptive coverage control strategy for multi-agent systems with dynamic weight learning and obstacle avoidance. The approach combines power diagrams with adaptive weight evolution and an improved artificial potential field …
preprints
2025
置信度 0.74
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This article presents AgoraIA, an open-source framework designed to enable dynamic, multi-participant conversations by integrating multiple AI personas within a shared conversational environment. Unlike traditional single-agent LLM interactions, AgoraIA allows…
preprints
2025
置信度 0.74
-
Abstract The evolution of large language models into autonomous, goal-oriented systems capable of advanced reasoning, contextual memory recall, and dynamic tool orchestration is referred to as agentic AI. This work introduces an intelligent travel companion bu…
europepmc
2025
置信度 0.80
-
The advent of large-language models (LLMs) offers a transformative approach for improving the performance of brain-computer interface (BCI) spellers. We propose a novel framework that leverages the contextual understanding of LLMs to compensate for imperfect B…
preprints
2025
置信度 0.74
-
Large language models (LLMs) are usually developed and evaluated as solitary agents: a single, monolithic network trained on static corpora and queried one prompt at a time. This single-agent paradigm has produced impressive capabilities, yet it fundamentally …
preprints
2025
置信度 0.74
-
The rapid increase of electronic waste (e-waste) poses severe environmental and health risks. This paper proposes a hybrid framework integrating deep learning, reinforcement learning, blockchain, and IoT for automated e-waste classification, optimized disassem…
preprints
2025
置信度 0.74
-
This paper presents a comprehensive analysis of Agentic Gen Artificial Intelligence (AI) frameworks and their integration into modern military systems. We examine the architectural foundations, development pipelines, and security considerations for deploying a…
preprints
2025
置信度 0.74
-
Abstract Peer-to-peer (P2P) electricity markets clear every five minutes, leaving little time for complex optimization at the grid edge. We ask a focused question: can lightweight, satisficing agents deliver near-optimizer welfare in continuous double auctions…
preprints
2025
置信度 0.74
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This article surveys Cognitive Edge Computing as a practical and methodical pathway for deploying reasoning-capable Large Language Models (LLMs) and autonomous AI agents on resource-constrained devices at the network edge. We present a unified, cognition-prese…
preprints
2025
置信度 0.74
-
Background E-medicine use has surged, and health systems are exploring LLMs for message triage. However, it is still unknown whether patient tone alone alters AI-generated clinical or administrative decisions. Methods We created 1,000 clinician-validated prima…
preprints
2025
置信度 0.74
-
AI has shown promise in predicting surgical complications, but most existing models estimate overall risk levels rather than identifying the specific complications an individual patient may develop. We present an AI agent that uses a Virtual Patients Ensemble …
preprints
2025
置信度 0.74
-
Importance Accurate clinical and pathological diagnoses are essential in neurodegenerative diseases, especially given the emergence of pathology-specific disease-modifying therapies. However, diagnostic accuracy remains challenging due to heterogeneous clinica…
preprints
2025
置信度 0.74
-
The construction of multicellular mechanistic models in systems biology typically requires months of literature research, programming expertise, and deep knowledge of specialized computational tools. Here we present intelligent tool orchestration through Model…
europepmc
2025
置信度 0.80
-
Abstract The present study reports the green fabrication of a sustainable alginate–silver nanocomposite hydrogel (Alg–AgNC) employing the aqueous leaf extract of Premna serratifolia L. as a natural reducing and stabilizing agent. The eco-friendly route enables…
preprints
2025
置信度 0.74
-
Communication with artificial agents (e.g., animated characters in virtual reality, social robots) is becoming increasingly common. Understanding how to design these agents behaviours to best support social interactions is therefore essential. One key communic…
preprints
2025
置信度 0.74
-
The rapid increase of electronic waste (e-waste) poses severe environmental and health risks. This paper proposes a hybrid framework integrating deep learning, reinforcement learning, blockchain, and IoT for automated e-waste classification, optimized disassem…
preprints
2025
置信度 0.74
-
Abstract Modern email spam and phishing attacks have evolved far beyond keyword blacklists or simple heuristics. Adversaries now craft multi-modal campaigns that combine natural-language text with obfuscated URLs, forged headers, and malicious attachments, ada…
preprints
2025
置信度 0.74
-
Abstract This paper presents a hybrid architecture for the automatic generation of multi-day, personalized travel itineraries that balance strict logistical constraints with individual traveler preferences. The system combines Large Language Models (LLMs) with…
preprints
2025
置信度 0.74
-
Interactions with artificial agents (e.g. robots and avatars) are becoming increasinglycommonplace. While research has established that user beliefs, or an artificial agent'sappearance, can shape social outcomes with artificial agents, little is known about ho…
preprints
2025
置信度 0.74
-
Agent-Oriented Architecture (AOA) has emerged as a transformative paradigm in modern software engineering, enabling autonomous, intelligent systems capable of dynamic adaptation and collaborative problem-solving. This comprehen- sive review examines the contem…
europepmc
2025
置信度 0.80
-
Large Language Model (LLM)-based multi-agent systems have shown great potential in supporting complex tasks in the medical domain, such as improving diagnostic accuracy and facilitating multidisciplinary collaboration. However, despite the advancement, there i…
preprints
2025
置信度 0.74
-
Abstract AI-driven medical chatbots allow patients to seek consultations without the constraints of time and space. Understanding how patients' perceptions (AI versus human physicians) influence the trust-building process is crucial for the broader adoption of…
preprints
2025
置信度 0.74
-
This study explores a novel approach of using large language models (LLMs) in real-time Proportional-Integral-Derivative (PID) control of a physical system, the Quanser QUBE-Servo 2. We investigated whether LLMs, used with an Artificial Intelligence (AI) agent…
preprints
2025
置信度 0.74
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This study presents the development of a smart microgrid control framework. The goal is to achieve optimal energy management and maximize photovoltaic (PV) generation utilization through a combination of optimization and reinforcement learning techniques. A de…
preprints
2025
置信度 0.74
-
Objective To develop and validate an agent-based Large Language Model (LLM) system for extracting structured data from breast cancer synoptic pathology reports and assess the performance gap between synthetic and real-world validation. Materials and Methods We…
preprints
2025
置信度 0.74
-
Scientific discovery has long relied on human creativity, with computation limited to analysis. Here we report an AI-guided system, K-Dense, that accelerates hypothesis testing and delivers robust scientific discoveries. Trained on ARCHS4 (57,584 samples, 28 t…
preprints
2025
置信度 0.74
-
Modern scientific progress is increasingly driven by collaborative endeavors that leverage specialized expertise and constructive peer critique. Multi-agent systems (MAS) offer a robust framework to emulate these collaborative dynamics inherent to human resear…
preprints
2025
置信度 0.74
-
Bulk RNA sequencing, while cost-effective compared to high-resolution spatial transcriptomics, averages gene expression across heterogeneous cell populations and thus lacks spatial context. To address this limitation, we introduce a structured, human–guided, m…
preprints
2025
置信度 0.74
-
In this position paper, we present a comprehensive analysis of the evolution of artificial intelligence from pre-trained language models to agentic AI systems designed for autonomous intelligence. This evolution is structured across seven technical stages, beg…
europepmc
2025
置信度 0.80
-
Abstract This article introduces S-AI-Cyber, a novel cyber defense architecture based on symbolic hormonal orchestration and parsimonious agent activation. Inspired by endocrine signaling mechanisms, the system replaces traditional threshold-based or black-box…
europepmc
2025
置信度 0.80
-
Abstract Executing experimental tasks in both normal research laboratories and large-scale scientific facilities often requires extensive human supervision, remaining a key challenge on the path to fully autonomous, artificial intelligence (AI)-driven science.…
preprints
2025
置信度 0.74
-
Automated web testing plays a critical role in ensuring high-quality user experiences and delivering business value. Traditional approaches primarily focus on code coverage and load testing, but often fall short of capturing complex user behaviors, leaving man…
preprints
2025
置信度 0.74
-
The contemporary digital landscape overwhelms visitors with fragmented and dynamic information, complicating travel planning and often leading to decision paralysis. This paper presents a real-world case study on the design and deployment of an intelligent tou…
preprints
2025
置信度 0.74
-
Human mobility is a key driver of early epidemic spread, and restricting travel remains one of the principal non-pharmaceutical interventions. To better understand how infections propagate through real-world mobility networks, it is essential to disaggregate t…
preprints
2025
置信度 0.74
-
This paper introduces ALEPH (Artificial Living Entity with PersonHood), a speculative model of a conscious, self-aware, and agentic artificial intelligence. Using formal logic, this study develops a formalised psychological profile of ALEPH, detailing its cogn…
preprints
2025
置信度 0.74
-
The rapid evolution of large language models (LLMs) has enabled a new class of AI psychotherapeutic tools (APTs) that are non-inferior to human therapists and hold the potential to dramatically expand access to mental healthcare worldwide. This paper proposes …
preprints
2025
置信度 0.74
-
Scientific discovery offers a unique pathway for AI systems to enhance their own capabilities through the knowledge they generate. While existing AI scientist systems focus on accelerating research within specific domains, we present the first framework for hi…
preprints
2025
置信度 0.74
-
Abstract CognAlign presents a modular, multi-agentic system designed to enhance transparency, bias-awareness, and adaptability in Small Language Models (SLMs) for high-stakes decision-making, particularly medical triage. By integrating cognitive dual-process r…
europepmc
2025
置信度 0.80
-
Bacteriophages (phages) are abundant and ecologically significant, yet their diversity and roles in plant-associated ecosystems remain poorly understood, limiting their application in sustainable disease management. To address this gap, we characterized 15 pha…
preprints
2025
置信度 0.74
-
Background Most evaluations of artificial intelligence (AI) in medicine rely on static, multiple-choice benchmarks that fail to capture the dynamic, sequential nature of clinical diagnosis. While conversational AI has shown promise in telemedicine, these syste…
preprints
2025
置信度 0.74
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Abstract Human expertise emerges through iterative cycles of interaction, reflection, and internal model updating, which are central to cognitive theories such as Kolb’s experiential learning and Vygotsky’s zone of proximal development. In contrast, current AI…
preprints
2025
置信度 0.74
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Background Globally we face a projected shortage of 11 million healthcare practitioners by 2030, and administrative burden consumes 50% of clinical time. Artificial intelligence (AI) has the potential to help alleviate these problems. However, no end-to-end au…
preprints
2025
置信度 0.74
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The rapid advancement of technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) has introduced new demands for network resilience and security. While current generative AI models primarily operate reactively, this limitation poses c…
preprints
2025
置信度 0.74
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ABSTRACT Background AI-powered cognitive behavioural therapy (AI-CBT) tools hold significant promise for addressing the global mental health treatment gap, yet sustained user engagement remains critically low. While patient attitudes and experiential factors h…
preprints
2026
置信度 0.74
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The exponential growth of organizational data, fueled by modern enterprises and the web, poses significant challenges to effective knowledge management, including cognitive overload and navigational disorientation [1-2]. This paper proposes an innovative frame…
preprints
2025
置信度 0.74
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This paper formalizes the Algorithmic Response (AR) Formula as a structural equation , not a solution-yielding equation. The AR Formula maps minimal environmental inputs to planetary structures —surface state, layered architecture, phase domains, spatial facie…
preprints
2025
置信度 0.74