Tootfinder

EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code
Ping Guo, Yiting Wang, Wanghao Ye, Yexiao He, Ziyao Wang, Xiaopeng Dai, Ang Li, Qingfu Zhang
https://arxiv.org/abs/2508.13156

EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code
Large Language Models (LLMs) have demonstrated great potential in automating the generation of Verilog hardware description language code for hardware design. This automation is critical to reducing human effort in the complex and error-prone process of hardware design. However, existing approaches predominantly rely on human intervention and fine-tuning using curated datasets, limiting their scalability in automated design workflows. Although recent iterative search techniques have emerged…

Human-AI collaboration or obedient and often clueless AI in instruct, serve, repeat dynamics?
Mohammed Saqr, Kamila Misiejuk, Sonsoles L\'opez-Pernas
https://arxiv.org/abs/2508.10919

Human-AI collaboration or obedient and often clueless AI in instruct, serve, repeat dynamics?
While research on human-AI collaboration exists, it mainly examined language learning and used traditional counting methods with little attention to evolution and dynamics of collaboration on cognitively demanding tasks. This study examines human-AI interactions while solving a complex problem. Student-AI interactions were qualitatively coded and analyzed with transition network analysis, sequence analysis and partial correlation networks as well as comparison of frequencies using chi-square an…

ExploreVLM: Closed-Loop Robot Exploration Task Planning with Vision-Language Models
Zhichen Lou, Kechun Xu, Zhongxiang Zhou, Rong Xiong
https://arxiv.org/abs/2508.11918 https://…

ExploreVLM: Closed-Loop Robot Exploration Task Planning with Vision-Language Models
The advancement of embodied intelligence is accelerating the integration of robots into daily life as human assistants. This evolution requires robots to not only interpret high-level instructions and plan tasks but also perceive and adapt within dynamic environments. Vision-Language Models (VLMs) present a promising solution by combining visual understanding and language reasoning. However, existing VLM-based methods struggle with interactive exploration, accurate perception, and real-time pla…

Co-Alignment: Rethinking Alignment as Bidirectional Human-AI Cognitive Adaptation
Yubo Li, Weiyi Song
https://arxiv.org/abs/2509.12179 https://arxiv.org/pd…

Co-Alignment: Rethinking Alignment as Bidirectional Human-AI Cognitive Adaptation
Current AI alignment through RLHF follows a single directional paradigm that AI conforms to human preferences while treating human cognition as fixed. We propose a shift to co-alignment through Bidirectional Cognitive Alignment (BiCA), where humans and AI mutually adapt. BiCA uses learnable protocols, representation mapping, and KL-budget constraints for controlled co-evolution. In collaborative navigation, BiCA achieved 85.5% success versus 70.3% baseline, with 230% better mutual adaptation an…

phone news feed being a parttime comedian again

The Roots of International Perceptions: Simulating US Attitude Changes Towards China with LLM Agents
Nicholas Sukiennik, Yichuan Xu, Yuqing Kan, Jinghua Piao, Yuwei Yan, Chen Gao, Yong Li
https://arxiv.org/abs/2508.08837

The Roots of International Perceptions: Simulating US Attitude Changes Towards China with LLM Agents
The rise of LLMs poses new possibilities in modeling opinion evolution, a long-standing task in simulation, by leveraging advanced reasoning abilities to recreate complex, large-scale human cognitive trends. While most prior works focus on opinion evolution surrounding specific isolated events or the views within a country, ours is the first to model the large-scale attitude evolution of a population representing an entire country towards another -- US citizens' perspectives towards China. To t…

CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards
Xiangyuan Xue, Yifan Zhou, Guibin Zhang, Zaibin Zhang, Yijiang Li, Chen Zhang, Zhenfei Yin, Philip Torr, Wanli Ouyang, Lei Bai
https://arxiv.org/abs/2510.08529

CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards
Self-evolution is a central research topic in enabling large language model (LLM)-based agents to continually improve their capabilities after pretraining. Recent research has witnessed a transition from reinforcement learning (RL)-free to RL-based methods. Current RL-based methods either rely on dense external reward signals or extract intrinsic reward signals from LLMs themselves. However, these approaches diverge from the self-evolution mechanisms observed in human intelligence, where indivi…

Mapping the Urban Mobility Intelligence Frontier: A Scientometric Analysis of Data-Driven Pedestrian Trajectory Prediction and Simulation
Junhao Xu, Hui Zeng
https://arxiv.org/abs/2510.10327

Mapping the Urban Mobility Intelligence Frontier: A Scientometric Analysis of Data-Driven Pedestrian Trajectory Prediction and Simulation
Understanding and predicting pedestrian dynamics has become essential for shaping safer, more responsive, and human-centered urban environments. This study conducts a comprehensive scientometric analysis of research on data-driven pedestrian trajectory prediction and crowd simulation, mapping its intellectual evolution and interdisciplinary structure. Using bibliometric data from the Web of Science Core Collection, we employ SciExplorer and Bibliometrix to identify major trends, influential con…

Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration
Xingchen Wan, Han Zhou, Ruoxi Sun, Hootan Nakhost, Ke Jiang, Rajarishi Sinha, Sercan \"O. Ar{\i}k
https://arxiv.org/abs/2509.10704

Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration
Text-to-image (T2I) models, while offering immense creative potential, are highly reliant on human intervention, posing significant usability challenges that often necessitate manual, iterative prompt engineering over often underspecified prompts. This paper introduces Maestro, a novel self-evolving image generation system that enables T2I models to autonomously self-improve generated images through iterative evolution of prompts, using only an initial prompt. Maestro incorporates two key innov…

Here’s the lightning sketch of Paul’s Treatise Against Efficiency that I’ve never written:
1. Efficiency is asymptotically inefficient: as costs approach zero, the cost of further reducing them approaches infinity.
2. Efficiency prioritizes the measurable over the difficult-to-measure.
3. Efficiency prioritizes what those in power see (or imagine) over on-the-ground reality.
4. Following from 2 and 3, efficiency reduces the amount and quality of information flowing into a human system.
5. Efficiency foments institutional inflexibility.
6. By removing slack, efficiency causes small failures to cascade more readily and increases the risk of catastrophic failure.
7. Following rom 4, 5, and 6, efficiency trades small costs for massive risks: from failures, from missed opportunities, and from inability to adjust.
8. Efficiency, when pushed, strangles the emergent phenomena that in the long term create all new things of value.
9. Thus, although it can be a by-product of evolution, efficiency as a goal in itself strangles evolution.
10. Efficiency as a goal strangles joy.

Evolution of cooperation among migrating resource-oriented agents under environmental variability
Masaaki Inaba, Eizo Akiyama
https://arxiv.org/abs/2508.21352 https://

Evolution of cooperation among migrating resource-oriented agents under environmental variability
Cooperation is fundamental to human societies. While several basic theoretical mechanisms underlying its evolution have been established, research addressing more realistic settings remains underdeveloped. Drawing on the hypothesis that intensified environmental fluctuations drove early behavioral evolution in humans during the Middle Stone Age in Africa, we examine the effects of environmental variability and human mobility on the evolution of cooperation. In our model, the variability is repr…

"de notre passé évolutif, nous avons hérité d'une forme de raisonnement adaptatif et contextuel qui n'est ni logique ni probabiliste, mais qui est suffisamment efficace pour nous maintenir en vie."
https://thereader.mitpress.mit.edu/why

Time for another "review". This one's hard. While the book was quite interesting, it required me to be quite open-minded. Still, I think it's worth mentioning:
Robert Wright — Nonzero: The Logic of Human Destiny
The book basically focused on a thesis that both biological evolution and cultural evolution are a thing, they are directional and this directionality can be explained together using game theory — as eventually leading to more non-zero sum games.
It consists of three chapters. The first one is is focused on the history of civilization. It features many examples from different parts of the world, which makes it quite interesting. The author argues that the culture inevitably is evolving as information processing techniques improve — from writing to the Internet.
The second chapter is focused on biological evolution. Now, the argument is that it's not quite random, but actually directed towards greater complexity — eventually leading to the development of highly intelligent species, and a civilization.
The third chapter is quite speculative and metaphysical, and I'm just going to skip it.
The book is full of optimism. Capitalism creates freedom — because people are more productive when they're working for their own gain, so the free market eliminates slavery. Globalisation creates networks of interdependence that make wars uneconomic. Increased contacts between different cultures makes people more tolerant. And eventually, the humanity may be able to unite facing a common "external" enemy — the climate change.
What can I say? The examples are quite interesting, the whole theory seems self-consistent. Still, I repeatedly looked at the publication date (it's 1999), and wondered if author would write the same thing today (yes, I know I can search for his current opinions).
#books #bookstodon @…

Emergence of Cooperation and Commitment in Optional Prisoner's Dilemma
Zhao Song, The Anh Han
https://arxiv.org/abs/2508.06702 https://arxiv.org/pdf/25…

Emergence of Cooperation and Commitment in Optional Prisoner's Dilemma
Commitment is a well-established mechanism for fostering cooperation in human society and multi-agent systems. However, existing research has predominantly focused on the commitment that neglects the freedom of players to abstain from an interaction, limiting their applicability to many real-world scenarios where participation is often voluntary. In this paper, we present a two-stage game model to investigate the evolution of commitment-based behaviours and cooperation within the framework of t…

PARROT: Portable Android Reproducible traffic Observation Tool
Andrea Jimenez-Berenguel, Celeste Campo, Marta Moure-Garrido, Carlos Garcia-Rubio, Daniel D\'iaz-Sanchez, Florina Almenares
https://arxiv.org/abs/2509.09537

PARROT: Portable Android Reproducible traffic Observation Tool
The rapid evolution of mobile security protocols and limited availability of current datasets constrains research in app traffic analysis. This paper presents PARROT, a reproducible and portable traffic capture system for systematic app traffic collection using Android Virtual Devices. The system provides automated environment setup, configurable Android versions, traffic recording management, and labeled captures extraction with human-in-the-loop app interaction. PARROT integrates mitmproxy fo…

Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices
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Seeking Book Reviewers for Women and Social Movements in the United States Erica Hayden 10/06/2025 -…
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Context Lineage Assurance for Non-Human Identities in Critical Multi-Agent Systems
Sumana Malkapuram, Sameera Gangavarapu, Kailashnath Reddy Kavalakuntla, Ananya Gangavarapu
https://arxiv.org/abs/2509.18415

Context Lineage Assurance for Non-Human Identities in Critical Multi-Agent Systems
The proliferation of autonomous software agents necessitates rigorous frameworks for establishing secure and verifiable agent-to-agent (A2A) interactions, particularly when such agents are instantiated as non-human identities(NHIs). We extend the A2A paradigm [1 , 2] by introducing a cryptographically grounded mechanism for lineage verification, wherein the provenance and evolution of NHIs are anchored in append-only Merkle tree structures modeled after Certificate Transparency (CT) logs. Unlik…

Passive Body-Area Electrostatic Field (Human Body Capacitance) for Ubiquitous Computing
Sizhen Bian, Mengxi Liu, Paul Lukowicz
https://arxiv.org/abs/2507.13520

Passive Body-Area Electrostatic Field (Human Body Capacitance) for Ubiquitous Computing
Passive body-area electrostatic field sensing, also referred to as human body capacitance (HBC), is an energy-efficient and non-intrusive sensing modality that exploits the human body's inherent electrostatic properties to perceive human behaviors. This paper presents a focused overview of passive HBC sensing, including its underlying principles, historical evolution, hardware architectures, and applications across research domains. Key challenges, such as susceptibility to environmental variat…

Les humains modernes dateraient de 500 000 ans plus tot que l'on pensait.
https://www.bbc.com/news/articles/cdx01ve5151o

Inclusive Fitness as a Key Step Towards More Advanced Social Behaviors in Multi-Agent Reinforcement Learning Settings
Andries Rosseau, Rapha\"el Avalos, Ann Now\'e
https://arxiv.org/abs/2510.12555

Inclusive Fitness as a Key Step Towards More Advanced Social Behaviors in Multi-Agent Reinforcement Learning Settings
The competitive and cooperative forces of natural selection have driven the evolution of intelligence for millions of years, culminating in nature's vast biodiversity and the complexity of human minds. Inspired by this process, we propose a novel multi-agent reinforcement learning framework where each agent is assigned a genotype and where reward functions are modelled after the concept of inclusive fitness. An agent's genetic material may be shared with other agents, and our inclusive reward f…

Benchmarking Fake Voice Detection in the Fake Voice Generation Arms Race
Xutao Mao, Ke Li, Cameron Baird, Ezra Xuanru Tao, Dan Lin
https://arxiv.org/abs/2510.06544 https://

Benchmarking Fake Voice Detection in the Fake Voice Generation Arms Race
As advances in synthetic voice generation accelerate, an increasing variety of fake voice generators have emerged, producing audio that is often indistinguishable from real human speech. This evolution poses new and serious threats across sectors where audio recordings serve as critical evidence. Although fake voice detectors are also advancing, the arms race between fake voice generation and detection has become more intense and complex. In this work, we present the first large-scale, cross-do…

Why Evolve When You Can Adapt? Post-Evolution Adaptation of Genetic Memory for On-the-Fly Control
Hamze Hammami, Eva Denisa Barbulescu, Talal Shaikh, Mouayad Aldada, Muhammad Saad Munawar
https://arxiv.org/abs/2508.03600

Why Evolve When You Can Adapt? Post-Evolution Adaptation of Genetic Memory for On-the-Fly Control
Imagine a robot controller with the ability to adapt like human synapses, dynamically rewiring itself to overcome unforeseen challenges in real time. This paper proposes a novel zero-shot adaptation mechanism for evolutionary robotics, merging a standard Genetic Algorithm (GA) controller with online Hebbian plasticity. Inspired by biological systems, the method separates learning and memory, with the genotype acting as memory and Hebbian updates handling learning. In our approach, the fitness f…

Localized risk perception triggers early behavioral adaptations in epidemics on networks
Baltazar Espinoza, Jimmy Calvo-Monge, Fabio Sanchez, Madhav Marathe
https://arxiv.org/abs/2508.05704

Localized risk perception triggers early behavioral adaptations in epidemics on networks
The contact structure of the population shapes the progression of epidemics. Nonetheless, the joint evolution of individual behavioral adaptations and disease dynamics on networks remains poorly understood. We use a behavioral-epidemiological model to study the joint evolution of human behavior and epidemic dynamics on networks. Our results reveal how the adaptation of local social structures, influenced by risk-benefit trade-offs, affects the dynamics of epidemics. We allow the epidemic and po…

Evolution favours positively biased reasoning in sequential interactions with high future gains
Marco Saponara, Elias Fernandez Domingos, Jorge M. Pacheco, Tom Lenaerts
https://arxiv.org/abs/2508.20799

Evolution favours positively biased reasoning in sequential interactions with high future gains
Empirical evidence shows that human behaviour often deviates from game-theoretical rationality. For instance, humans may hold unrealistic expectations about future outcomes. As the evolutionary roots of such biases remain unclear, we investigate here how reasoning abilities and cognitive biases co-evolve using Evolutionary Game Theory. In our model, individuals in a population deploy a variety of unbiased and biased level-k reasoning strategies to anticipate others' behaviour in sequential inte…

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain
Li Weigang, Pedro Carvalho Brom, Lucas Ramson Siefert
https://arxiv.org/abs/2509.00510 https://…

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain
We propose a novel SuperBrain framework for collective intelligence, grounded in the co-evolution of large language models (LLMs) and human users. Unlike static prompt engineering or isolated agent simulations, our approach emphasizes a dynamic pathway from Subclass Brain to Superclass Brain: (1) A Subclass Brain arises from persistent, personalized interaction between a user and an LLM, forming a cognitive dyad with adaptive learning memory. (2) Through GA-assisted forward-backward evolution, …

Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices
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Seeking Book Reviewers for Women and Social Movements in the United States Erica Hayden 10/06/2025 -…
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Enabling Content Management Systems as an Information Source in Model-driven Projects
Joan Giner-Miguelez, Abel G\'omez, Jordi Cabot
https://arxiv.org/abs/2508.19797 https:/…

Enabling Content Management Systems as an Information Source in Model-driven Projects
Content Management Systems (CMSs) are the most popular tool when it comes to create and publish content across the web. Recently, CMSs have evolved, becoming \emph{headless}. Content served by a \emph{headless CMS} aims to be consumed by other applications and services through REST APIs rather than by human users through a web browser. This evolution has enabled CMSs to become a notorious source of content to be used in a variety of contexts beyond pure web navigation. As such, CMS have become …

A Desktop-Centric Design Space for Direct Object Examination and Visualization in Mixed-Reality Environments
Sam Johnson-Lacoss, Santiago V. Lombeyda, S. George Djorgovski
https://arxiv.org/abs/2508.05088

A Desktop-Centric Design Space for Direct Object Examination and Visualization in Mixed-Reality Environments
Mixed reality (MR) environments are bound to become ubiquitous as MR technology becomes lighter, higher resolution, more affordable, and overall becomes a seamless extension of our current work and living spaces. For research scientists and clinicians focused on understanding 3D phenomena or patient pathologies within the context of the larger human anatomy, that means a necessary evolution of their workstations currently only utilizing 2D interfaces for everyday communication, logistics and da…

Investigating DNA words and their distributions across the tree of life
Charalampos Koilakos, Kimonas Provatas, Michail Patsakis, Aris Karatzikos, Ilias Georgakopoulos-Soares
https://arxiv.org/abs/2509.05539

Investigating DNA words and their distributions across the tree of life
The frequency distributions of DNA k-mers are shaped by fundamental biological processes and offer a window into genome structure and evolution. Inspired by analogies to natural language, prior studies have attempted to model genomic k-mer usage using Zipf's law, a rank-frequency law originally formulated for words in human language. However, the extent to which this law accurately captures the distribution of k-mers across diverse species remains unclear. Here, we systematically analyze k-mer …

URLLC for 6G Enabled Industry 5.0: A Taxonomy of Architectures, Cross Layer Techniques, and Time Critical Applications
Abdikarim Mohamed Ibrahim, Rosdiadee Nordin, Yahya S. M. Khamayseh, Angela Amphawan, Muhammed Basheer Jasser
https://arxiv.org/abs/2510.08080

URLLC for 6G Enabled Industry 5.0: A Taxonomy of Architectures, Cross Layer Techniques, and Time Critical Applications
The evolution from Industry 4.0 to Industry 5.0 introduces stringent requirements for ultra reliable low latency communication (URLLC) to support human centric, intelligent, and resilient industrial systems. Sixth-generation (6G) wireless networks aim to meet these requirements through sub-millisecond end-to-end delays, microsecond level jitter, and near perfect reliability, enabled by advances such as terahertz (THz) communication, reconfigurable intelligent surfaces (RIS), multi-access edge c…

Mobility Behavior Evolution During Extended Emergencies: Returners, Explorers, and the 15-Minute City
Omid Armantalab, Jason Hawkins, Wissam Kontar
https://arxiv.org/abs/2510.00469

Mobility Behavior Evolution During Extended Emergencies: Returners, Explorers, and the 15-Minute City
Understanding human mobility during emergencies is critical for strengthening urban resilience and guiding emergency management. This study examines transitions between returners, who repeatedly visit a limited set of locations, and explorers, who travel across broader destinations, over a 15-day emergency period in a densely populated metropolitan region using the YJMob100K dataset. High-resolution spatial data reveal intra-urban behavioral dynamics often masked at coarser scales. Beyond stati…

Towards a Manifesto for Cyber Humanities: Paradigms, Ethics, and Prospects
Giovanni Adorni, Emanuele Bellini
https://arxiv.org/abs/2508.02760 https://arxiv…

Towards a Manifesto for Cyber Humanities: Paradigms, Ethics, and Prospects
The accelerated evolution of digital infrastructures and algorithmic systems is reshaping how the humanities engage with knowledge and culture. Rooted in the traditions of Digital Humanities and Digital Humanism, the concept of "Cyber Humanities" proposes a critical reconfiguration of humanistic inquiry for the post-digital era. This Manifesto introduces a flexible framework that integrates ethical design, sustainable digital practices, and participatory knowledge systems grounded in human-cent…

Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices
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Trust and Human Autonomy after Cobot Failures: Communication is Key for Industry 5.0
Felix Glawe, Laura Kremer, Luisa Vervier, Philipp Brauner, Martina Ziefle
https://arxiv.org/abs/2509.22298

Trust and Human Autonomy after Cobot Failures: Communication is Key for Industry 5.0
Collaborative robots (cobots) are a core technology of Industry 4.0. Industry 4.0 uses cyber-physical systems, IoT and smart automation to improve efficiency and data-driven decision-making. Cobots, as cyber-physical systems, enable the introduction of lightweight automation to smaller companies through their flexibility, low cost and ability to work alongside humans, while keeping humans and their skills in the loop. Industry 5.0, the evolution of Industry 4.0, places the worker at the centre …

Your AI Bosses Are Still Prejudiced: The Emergence of Stereotypes in LLM-Based Multi-Agent Systems
Jingyu Guo, Yingying Xu
https://arxiv.org/abs/2508.19919 https://

Your AI Bosses Are Still Prejudiced: The Emergence of Stereotypes in LLM-Based Multi-Agent Systems
While stereotypes are well-documented in human social interactions, AI systems are often presumed to be less susceptible to such biases. Previous studies have focused on biases inherited from training data, but whether stereotypes can emerge spontaneously in AI agent interactions merits further exploration. Through a novel experimental framework simulating workplace interactions with neutral initial conditions, we investigate the emergence and evolution of stereotypes in LLM-based multi-agent s…

Open Data Sharing in Clinical Research and Participants Privacy: Challenges and Opportunities in the Era of Artificial Intelligence
Shahin Hallaj (on behalf of the AI-READI Consortium), Anna Heinke (on behalf of the AI-READI Consortium), Fritz Gerald P. Kalaw (on behalf of the AI-READI Consortium), Nayoon Gim (on behalf of the AI-READI Consortium), Marian Blazes (on behalf of the AI-READI Consortium), Julia Owen (on behalf of the AI-READI Consortium), Eamon Dysinger (on behalf of the A…

Open Data Sharing in Clinical Research and Participants Privacy: Challenges and Opportunities in the Era of Artificial Intelligence
Sharing clinical research data is key for increasing the pace of medical discoveries that improve human health. However, concern about study participants' privacy, confidentiality, and safety is a major factor that deters researchers from openly sharing clinical data, even after deidentification. This concern is further heightened by the evolution of artificial intelligence (AI) approaches that pose an ever-increasing threat to the reidentification of study participants. Here, we discuss the ch…

Replaced article(s) found for q-bio.PE. https://arxiv.org/list/q-bio.PE/new
[1/1]:
- A Compartmental Model for Epidemiology with Human Behavior and Stochastic Effects
Christian Parkinson, Weinan Wang

From Agentification to Self-Evolving Agentic AI for Wireless Networks: Concepts, Approaches, and Future Research Directions
Changyuan Zhao, Ruichen Zhang, Jiacheng Wang, Dusit Niyato, Geng Sun, Xianbin Wang, Shiwen Mao, Abbas Jamalipour
https://arxiv.org/abs/2510.05596

From Agentification to Self-Evolving Agentic AI for Wireless Networks: Concepts, Approaches, and Future Research Directions
Self-evolving agentic artificial intelligence (AI) offers a new paradigm for future wireless systems by enabling autonomous agents to continually adapt and improve without human intervention. Unlike static AI models, self-evolving agents embed an autonomous evolution cycle that updates models, tools, and workflows in response to environmental dynamics. This paper presents a comprehensive overview of self-evolving agentic AI, highlighting its layered architecture, life cycle, and key techniques,…

Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices
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Call for Abstracts: Culture and Society in Greek, Roman, and Byzantine Egypt - SCS San Francisco…
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LLM Agent Meets Agentic AI: Can LLM Agents Simulate Customers to Evaluate Agentic-AI-based Shopping Assistants?
Lu Sun, Shihan Fu, Bingsheng Yao, Yuxuan Lu, Wenbo Li, Hansu Gu, Jiri Gesi, Jing Huang, Chen Luo, Dakuo Wang
https://arxiv.org/abs/2509.21501

LLM Agent Meets Agentic AI: Can LLM Agents Simulate Customers to Evaluate Agentic-AI-based Shopping Assistants?
Agentic AI is emerging, capable of executing tasks through natural language, such as Copilot for coding or Amazon Rufus for shopping. Evaluating these systems is challenging, as their rapid evolution outpaces traditional human evaluation. Researchers have proposed LLM Agents to simulate participants as digital twins, but it remains unclear to what extent a digital twin can represent a specific customer in multi-turn interaction with an agentic AI system. In this paper, we recruited 40 human par…

Replaced article(s) found for cs.CY. https://arxiv.org/list/cs.CY/new
[1/1]:
- How AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Larg...
Joshua Ashkinaze, Julia Mendelsohn, Li Qiwei, Ceren Budak, Eric Gilbert

Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory
Mukul Singh, Arjun Radhakrishna, Sumit Gulwani
https://arxiv.org/abs/2509.04847 htt…

Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory
Language models are increasingly deployed in interactive online environments, from personal chat assistants to domain-specific agents, raising questions about their cooperative and competitive behavior in multi-party settings. While prior work has examined language model decision-making in isolated or short-term game-theoretic contexts, these studies often neglect long-horizon interactions, human-model collaboration, and the evolution of behavioral patterns over time. In this paper, we investig…

Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices https://networks.h-net.org/group/announcements/20127143/reimagining-totemism-mystical-experience-life-values-and-contemporary

Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices
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Hill on Baranski, 'The Globalization of Wheat: A Critical History of the Green Revolution' …
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E.A.R.T.H.: Structuring Creative Evolution through Model Error in Generative AI
Yusen Peng, Shuhua Mao
https://arxiv.org/abs/2507.18004 https://arxiv.org/p…

E.A.R.T.H.: Structuring Creative Evolution through Model Error in Generative AI
How can AI move beyond imitation toward genuine creativity? This paper proposes the E.A.R.T.H. framework, a five-stage generative pipeline that transforms model-generated errors into creative assets through Error generation, Amplification, Refine selection, Transform, and Harness feedback. Drawing on cognitive science and generative modeling, we posit that "creative potential hides in failure" and operationalize this via structured prompts, semantic scoring, and human-in-the-loop evaluation. Im…

Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices
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Hill on Baranski, 'The Globalization of Wheat: A Critical History of the Green Revolution' …
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User Head Movement-Predictive XR in Immersive H2M Collaborations over Future Enterprise Networks
Sourav Mondal, Elaine Wong
https://arxiv.org/abs/2507.15254

User Head Movement-Predictive XR in Immersive H2M Collaborations over Future Enterprise Networks
The evolution towards future generation of mobile systems and fixed wireless networks is primarily driven by the urgency to support high-bandwidth and low-latency services across various vertical sectors. This endeavor is fueled by smartphones as well as technologies like industrial internet of things, extended reality (XR), and human-to-machine (H2M) collaborations for fostering industrial and social revolutions like Industry 4.0/5.0 and Society 5.0. To ensure an ideal immersive experience and…

Social influence on complex networks as a perturbation to individual behavior
Dhruv Mittal, Fl\'avio L. Pinheiro, V\'itor V. Vasconcelos
https://arxiv.org/abs/2509.17948

Social influence on complex networks as a perturbation to individual behavior
Cooperation is fundamental to the functioning of biological and social systems in both human and animal populations, with the structure of interactions playing a crucial role. Previous studies have used networks to describe interactions and explore the evolution of cooperation, but with limited transposability to social settings due to biologically relevant assumptions. Exogenous processes -- that affect the individual and are not derived from social interactions -- even if unbiased, have a rol…

Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices
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Hill on Baranski, 'The Globalization of Wheat: A Critical History of the Green Revolution' …
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MAB Optimizer for Estimating Math Question Difficulty via Inverse CV without NLP
Surajit Das, Gourav Roy, Aleksei Eliseev, Ram Kumar Rajendran
https://arxiv.org/abs/2508.19014 h…

MAB Optimizer for Estimating Math Question Difficulty via Inverse CV without NLP
The evolution of technology and education is driving the emergence of Intelligent & Au- tonomous Tutoring Systems (IATS), where objective and domain-agnostic methods for determining question difficulty are essential. Traditional human labeling is subjective, and existing NLP-based ap- proaches fail in symbolic domains like algebra. This study introduces the Approach of Passive Measures among Educands (APME), a reinforcement learning-based Multi-Armed Bandit (MAB) framework that estimates diffic…

Toward Autonomous Digital Populations for Communication-Sensing-Computation Ecosystem
Gaosheng Zhao, Dong In Kim
https://arxiv.org/abs/2508.15268 https://a…

Toward Autonomous Digital Populations for Communication-Sensing-Computation Ecosystem
Future communication networks are expected to achieve deep integration of communication, sensing, and computation, forming a tightly coupled and autonomously operating infrastructure system. However, current reliance on centralized control, static design, and human intervention continues to constrain the multidimensional evolution of network functions and applications, limiting adaptability and resilience in large-scale, layered, and complex environments. To address these challenges, this paper…

Towards a theory of coupled sociopolitical events-planetary boundaries, crises, policrisis and Earth System syndromes
Orfeu Bertolami, Ricardo El\'isio
https://arxiv.org/abs/2507.16423

Towards a theory of coupled sociopolitical events-planetary boundaries, crises, policrisis and Earth System syndromes
The impact of the human activities can be evaluated by the Planetary Boundaries (PBs), however, so far it is not clear how to assess the influence of specific sociopolitical events (SPEs) on the Earth System (ES) and at the same measure, without a suitable framework, to gauge how these affect the PBs. In this work, we propose an interacting matrix model that couples SPEs with the PBs and consider the possible evolution scenarios and, in particular, those leading to crises and policrisis. We add…

CFP: Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices
https://ift.tt/86AaxZI
Hill on Baranski, 'The Globalization of Wheat: A Critical History of the Green Revolution' …
via Input 4 RELCFP

CFP: Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices https://networks.h-net.org/group/announcements/20127238/reimagining-totemism-mystical-experience-life-values-and-contemporary

CFP: Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices
https://ift.tt/7u6kcvz
Lessons for the Upcoming Age of Climate Refugees: Next meeting of the ASLH Environment, Law, and…
via Input 4 RELCFP

CFP: Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices
https://ift.tt/7u6kcvz
Lessons for the Upcoming Age of Climate Refugees: Next meeting of the ASLH Environment, Law, and…
via Input 4 RELCFP

Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices https://networks.h-net.org/group/announcements/20127235/reimagining-totemism-mystical-experience-life-values-and-contemporary

Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices
https://ift.tt/kbriQ7u
Lessons for the Upcoming Age of Climate Refugees: Next meeting of the ASLH Environment, Law, and…
via Input 4 RELCFP

Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices https://networks.h-net.org/group/announcements/20126096/reimagining-totemism-mystical-experience-life-values-and-contemporary

Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices https://networks.h-net.org/group/announcements/20126093/reimagining-totemism-mystical-experience-life-values-and-contemporary

Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices
https://ift.tt/CV8ld5Y
Lessons for the Upcoming Age of Climate Refugees: Next meeting of the ASLH Environment, Law, and…
via Input 4 RELCFP

Reimagining Totemism: Mystical Experience, Life Values, and Contemporary Art Practices
https://ift.tt/HLshS8b
Lessons for the Upcoming Age of Climate Refugees: Next meeting of the ASLH Environment, Law, and…
via Input 4 RELCFP