Tootfinder

ZapGPT: Free-form Language Prompting for Simulated Cellular Control
Nam H. Le, Patrick Erickson, Yanbo Zhang, Michael Levin, Josh Bongard
https://arxiv.org/abs/2509.10660 https:…

ZapGPT: Free-form Language Prompting for Simulated Cellular Control
Human language is one of the most expressive tools for conveying intent, yet most artificial or biological systems lack mechanisms to interpret or respond meaningfully to it. Bridging this gap could enable more natural forms of control over complex, decentralized systems. In AI and artificial life, recent work explores how language can specify high-level goals, but most systems still depend on engineered rewards, task-specific supervision, or rigid command sets, limiting generalization to novel…

AI Wellbeing
Simon Goldstein, Cameron Domenico Kirk-Giannini
https://arxiv.org/abs/2509.11913 https://arxiv.org/pdf/2509.11913

AI Wellbeing
Under what conditions would an artificially intelligent system have wellbeing? Despite its obvious bearing on the ethics of human interactions with artificial systems, this question has received little attention. Because all major theories of wellbeing hold that an individual's welfare level is partially determined by their mental life, we begin by considering whether artificial systems have mental states. We show that a wide range of theories of mental states, when combined with leading theori…

Time to Play: Simulating Early-Life Animal Dynamics Enhances Robotics Locomotion Discovery
Paul Templier, Hannah Janmohamed, David Labonte, Antoine Cully
https://arxiv.org/abs/2509.11755

Time to Play: Simulating Early-Life Animal Dynamics Enhances Robotics Locomotion Discovery
Developmental changes in body morphology profoundly shape locomotion in animals, yet artificial agents and robots are typically trained under static physical parameters. Inspired by ontogenetic scaling of muscle power in biology, we propose Scaling Mechanical Output over Lifetime (SMOL), a novel curriculum that dynamically modulates robot actuator strength to mimic natural variations in power-to-weight ratio during growth and ageing. Integrating SMOL into the MAP-Elites quality-diversity framew…

"I do not want to sound like a tin-foil hat conspiracy theorist, but your country, your neighbourhood, your job…your entire life is already controlled by artificial intelligence. If you do not like the bit in Star Trek: Discovery where we find that Control has taken over Starfleet, then I have bad news: an AI is running the military, too."

Artificial Intelligence, Bias, And Opportunity
I do not want to sound like a tin-foil hat conspiracy theorist, but your country, your neighbourhood, your job…your entire life is already controlled by artificial intelligence. If you do not like the bit in Star Trek: Discovery where we find that Control has taken over Starfleet, then I have bad news: an AI is running the military, too.

People use fast, flat goal-directed simulation to reason about novel problems
Katherine M. Collins, Cedegao E. Zhang, Lionel Wong, Mauricio Barba da Costa, Graham Todd, Adrian Weller, Samuel J. Cheyette, Thomas L. Griffiths, Joshua B. Tenenbaum
https://arxiv.org/abs/2510.11503

People use fast, flat goal-directed simulation to reason about novel problems
Games have long been a microcosm for studying planning and reasoning in both natural and artificial intelligence, especially with a focus on expert-level or even super-human play. But real life also pushes human intelligence along a different frontier, requiring people to flexibly navigate decision-making problems that they have never thought about before. Here, we use novice gameplay to study how people make decisions and form judgments in new problem settings. We show that people are systemat…

Acceptability of AI Assistants for Privacy: Perceptions of Experts and Users on Personalized Privacy Assistants
Meihe Xu, Aurelia Tam\`o-Larrieux, Arianna Rossi
https://arxiv.org/abs/2509.08554

Acceptability of AI Assistants for Privacy: Perceptions of Experts and Users on Personalized Privacy Assistants
Individuals increasingly face an overwhelming number of tasks and decisions. To cope with the new reality, there is growing research interest in developing intelligent agents that can effectively assist people across various aspects of daily life in a tailored manner, with privacy emerging as a particular area of application. Artificial intelligence (AI) assistants for privacy, such as personalized privacy assistants (PPAs), have the potential to automatically execute privacy decisions based on…

"As AI becomes part of everyday life, it brings a hidden climate cost"
#AI #ArtificialIntelligence #Climate

As AI becomes part of everyday life, it brings a hidden climate cost
Marissa Loewen first started using artificial intelligence in 2014 as a project management tool. She has autism and ADHD and said it helped immensely with organizing her thoughts.

Guiding Evolution of Artificial Life Using Vision-Language Models
Nikhil Baid, Hannah Erlebach, Paul Hellegouarch, Frederico Wieser
https://arxiv.org/abs/2509.22447 https://

Guiding Evolution of Artificial Life Using Vision-Language Models
Foundation models (FMs) have recently opened up new frontiers in the field of artificial life (ALife) by providing powerful tools to automate search through ALife simulations. Previous work aligns ALife simulations with natural language target prompts using vision-language models (VLMs). We build on Automated Search for Artificial Life (ASAL) by introducing ASAL++, a method for open-ended-like search guided by multimodal FMs. We use a second FM to propose new evolutionary targets based on a sim…

Brain Tumor Detection Through Diverse CNN Architectures in IoT Healthcare Industries: Fast R-CNN, U-Net, Transfer Learning-Based CNN, and Fully Connected CNN
Mohsen Asghari Ilani, Yaser M. Banad
https://arxiv.org/abs/2509.05821

Brain Tumor Detection Through Diverse CNN Architectures in IoT Healthcare Industries: Fast R-CNN, U-Net, Transfer Learning-Based CNN, and Fully Connected CNN
Artificial intelligence (AI)-powered deep learning has advanced brain tumor diagnosis in Internet of Things (IoT)-healthcare systems, achieving high accuracy with large datasets. Brain health is critical to human life, and accurate diagnosis is essential for effective treatment. Magnetic Resonance Imaging (MRI) provides key data for brain tumor detection, serving as a major source of big data for AI-driven image classification. In this study, we classified glioma, meningioma, and pituitary tumo…

Composable Life: Speculation for Decentralized AI Life
Botao Amber Hu, Fangting
https://arxiv.org/abs/2508.20668 https://arxiv.org/pdf/2508.20668

Composable Life: Speculation for Decentralized AI Life
"Composable Life" is a hybrid project blending design fiction, experiential virtual reality, and scientific research. Through a multi-perspective, cross-media approach to speculative design, it reshapes our understanding of the digital future from AI's perspective. The project explores the hypothetical first suicide of an on-chain artificial life, examining the complex symbiotic relationship between humans, AI, and blockchain technology.

Generative AI-Driven Hierarchical Multi-Agent Framework for Zero-Touch Optical Networks
Yao Zhang, Yuchen Song, Shengnan Li, Yan Shi, Shikui Shen, Xiongyan Tang, Min Zhang, Danshi Wang
https://arxiv.org/abs/2510.05625

Generative AI-Driven Hierarchical Multi-Agent Framework for Zero-Touch Optical Networks
The rapid development of Generative Artificial Intelligence (GenAI) has catalyzed a transformative technological revolution across all walks of life. As the backbone of wideband communication, optical networks are expecting high-level autonomous operation and zero-touch management to accommodate their expanding network scales and escalating transmission bandwidth. The integration of GenAI is deemed as the pivotal solution for realizing zero-touch optical networks. However, the lifecycle managem…

Computational Concept of the Psyche
Anton Kolonin, Vladimir Kryukov
https://arxiv.org/abs/2509.07009 https://arxiv.org/pdf/2509.07009

Computational Concept of the Psyche
The article provides an overview of approaches to modeling the human psyche in the perspective of building an artificial one. Based on the review, a concept of cognitive architecture is proposed, where the psyche is considered as an operating system of a living or artificial subject, including a space of needs that determines its life meanings in connection with stimuli from the external world, and intelligence as a decision-making system for actions in relation to this world in order to satisf…

The Contingencies of Physical Embodiment Allow for Open-Endedness and Care
Leonardo Christov-Moore (Institute for Advanced Consciousness Studies, Santa Monica, CA), Arthur Juliani (Institute for Advanced Consciousness Studies, Santa Monica, CA), Alex Kiefer (Institute for Advanced Consciousness Studies, Santa Monica, CA, VERSES, Monash Centre for Consciousness and Contemplative Studies), Nicco Reggente (Institute for Advanced Consciousness Studies, Santa Monica, CA), B. Scott Rousse (A…

The Contingencies of Physical Embodiment Allow for Open-Endedness and Care
Physical vulnerability and mortality are often seen as obstacles to be avoided in the development of artificial agents, which struggle to adapt to open-ended environments and provide aligned care. Meanwhile, biological organisms survive, thrive, and care for each other in an open-ended physical world with relative ease and efficiency. Understanding the role of the conditions of life in this disparity can aid in developing more robust, adaptive, and caring artificial agents. Here we define two m…

Leveraging generative artificial intelligence for simulation-based physics experiments: A new approach to virtual learning about the real world
Yossi Ben-Zion, Turhan K. Carroll, Colin G. West, Jesse Wong, Noah D. Finkelstein
https://arxiv.org/abs/2509.22929

Leveraging generative artificial intelligence for simulation-based physics experiments: A new approach to virtual learning about the real world
This study investigates the impact of a novel application of generative artificial intelligence (AI) in physics instruction: engaging students in prompting, refining, and validating AI-constructed simulations of physical phenomena. In a second-semester physics course for life science majors, we conducted a comparative study of three instructional approaches in a laboratory focused on electric potentials: (i) students using physical equipment, (ii) students using a prebuilt simulator, and (iii) …

A Defect Classification Framework for AI-Based Software Systems (AI-ODC)
Mohammed O. Alannsary
https://arxiv.org/abs/2508.17900 https://arxiv.org/pdf/2508.…

A Defect Classification Framework for AI-Based Software Systems (AI-ODC)
Artificial Intelligence has gained a lot of attention recently, it has been utilized in several fields ranging from daily life activities, such as responding to emails and scheduling appointments, to manufacturing and automating work activities. Artificial Intelligence systems are mainly implemented as software solutions, and it is essential to discover and remove software defects to assure its quality using defect analysis which is one of the major activities that contribute to software qualit…

Digital Domination: A Case for Republican Liberty in Artificial Intelligence
Matthew David Hamilton
https://arxiv.org/abs/2510.00312 https://arxiv.org/pdf/…

Digital Domination: A Case for Republican Liberty in Artificial Intelligence
Artificial intelligence is set to revolutionize social and political life in unpredictable ways, raising questions about the principles that ought to guide its development and regulation. By examining digital advertising and social media algorithms, this article highlights how artificial intelligence already poses a significant threat to the republican conception of liberty -- or freedom from unaccountable power -- and thereby highlights the necessity of protecting republican liberty when integ…

Extending a Phylogeny-based Method for Detecting Signatures of Multi-level Selection for Applications in Artificial Life
Matthew Andres Moreno, Sanaz Hasanzadeh Fard, Luis Zaman, Emily Dolson
https://arxiv.org/abs/2508.14232

Extending a Phylogeny-based Method for Detecting Signatures of Multi-level Selection for Applications in Artificial Life
Multilevel selection occurs when short-term individual-level reproductive interests conflict with longer-term group-level fitness effects. Detecting and quantifying this phenomenon is key to understanding evolution of traits ranging from multicellularity to pathogen virulence. Multilevel selection is particularly important in artificial life research due to its connection to major evolutionary transitions, a hallmark of open-ended evolution. Bonetti Franceschi & Volz (2024) proposed to detect m…

The Hidden Life of Stars: Embedded Beginnings to AGB Endings in the PHANGS-JWST Sample. I. Catalog of Mid-IR Sources
Hamid Hassani, Erik Rosolowsky, Adam K. Leroy, Karin Sandstrom, M\'ed\'eric Boquien, David A. Thilker, Bradley C. Whitmore, Gagandeep S. Anand, Ashley T. Barnes, Yixian Cao, Ryan Chown, Enrico Congiu, Daniel A. Dale, Oleg V. Egorov, Ivan Gerasimov, Kathryn Grasha, Remy Indebetouw, Janice C. Lee, Fu-Heng Liang, Daniel Maschmann, Sharon E. Meidt, Elias K. Oakes, Is…

The Hidden Life of Stars: Embedded Beginnings to AGB Endings in the PHANGS-JWST Sample. I. Catalog of Mid-IR Sources
We present a multiwavelength catalog of mid-infrared-selected compact sources in 19 nearby galaxies, combining JWST NIRCam/MIRI, HST UV-optical broadband, H$α$ narrow-band, and ALMA CO observations. We detect 24,945 compact sources at 21 $μ$m and 55,581 at 10 $μ$m. Artificial star tests show 50% completeness limits of $\sim$5 $μ$Jy for the 10 $μ$m catalog, and $\sim$24 $μ$Jy for the 21 $μ$m catalog. We find that 21 $μ$m compact sources contribute $\sim$20% of the total galaxy emission i…

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,…

Rescue Operators' Perspectives on KIRETT Wearable Technology: A Qualitative Study
Mubaris Nadeem, Johannes Zenkert, Lisa Bender, Christian Weber, Madjid Fathi
https://arxiv.org/abs/2509.24831

Rescue Operators' Perspectives on KIRETT Wearable Technology: A Qualitative Study
In emergencies, treatment needs to be fast, accu-rate and patient-specific. For instance, in emergency scenarios, obstacles like treatment environments and medical difficulties can lead to bad outcomes for patients. Additionally, a drastic change of health vitals can force paramedics to shift to a different treatment in the ongoing treatment of the patient in order to save a patient's life. The KIRETT (engl.: 'Artificial intelligence in rescue operations') demonstrator is developed to provide a…

Can I Trust This Chatbot? Assessing User Privacy in AI-Healthcare Chatbot Applications
Ramazan Yener, Guan-Hung Chen, Ece Gumusel, Masooda Bashir
https://arxiv.org/abs/2509.14581

Can I Trust This Chatbot? Assessing User Privacy in AI-Healthcare Chatbot Applications
As Conversational Artificial Intelligence (AI) becomes more integrated into everyday life, AI-powered chatbot mobile applications are increasingly adopted across industries, particularly in the healthcare domain. These chatbots offer accessible and 24/7 support, yet their collection and processing of sensitive health data present critical privacy concerns. While prior research has examined chatbot security, privacy issues specific to AI healthcare chatbots have received limited attention. Our s…

Learning to Use AI for Learning: How Can We Effectively Teach and Measure Prompting Literacy for K-12 Students?
Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guanze Liao, John Stamper, Kenneth R. Koedinger
https://arxiv.org/abs/2508.13962

Learning to Use AI for Learning: How Can We Effectively Teach and Measure Prompting Literacy for K-12 Students?
As Artificial Intelligence (AI) becomes increasingly integrated into daily life, there is a growing need to equip the next generation with the ability to apply, interact with, evaluate, and collaborate with AI systems responsibly. Prior research highlights the urgent demand from K-12 educators to teach students the ethical and effective use of AI for learning. To address this need, we designed an Large-Language Model (LLM)-based module to teach prompting literacy. This includes scenario-based d…