Tootfinder

A Map of Exploring Human Interaction patterns with LLM: Insights into Collaboration and Creativity
Jiayang Li, Jiale Li
https://arxiv.org/abs/2404.04570 ht…

A Map of Exploring Human Interaction patterns with LLM: Insights into Collaboration and Creativity
The outstanding performance capabilities of large language model have driven the evolution of current AI system interaction patterns. This has led to considerable discussion within the Human-AI Interaction (HAII) community. Numerous studies explore this interaction from technical, design, and empirical perspectives. However, the majority of current literature reviews concentrate on interactions across the wider spectrum of AI, with limited attention given to the specific realm of interaction wi…

Is artificial consciousness achievable? Lessons from the human brain
Michele Farisco, Kathinka Evers, Jean-Pierre Changeux
https://arxiv.org/abs/2405.04540

Is artificial consciousness achievable? Lessons from the human brain
We here analyse the question of developing artificial consciousness from an evolutionary perspective, taking the evolution of the human brain and its relation with consciousness as a reference model. This kind of analysis reveals several structural and functional features of the human brain that appear to be key for reaching human-like complex conscious experience and that current research on Artificial Intelligence (AI) should take into account in its attempt to develop systems capable of cons…

LLM-Based Multi-Agent Systems for Software Engineering: Vision and the Road Ahead
Junda He, Christoph Treude, David Lo
https://arxiv.org/abs/2404.04834 htt…

LLM-Based Multi-Agent Systems for Software Engineering: Vision and the Road Ahead
Integrating Large Language Models(LLMs) into autonomous agents marks a significant shift in the research landscape by offering cognitive abilities competitive to human planning and reasoning. This paper envisions the evolution of LLM-based Multi-Agent (LMA) systems in addressing complex and multi-faceted software engineering challenges. LMA systems introduce numerous benefits, including enhanced robustness through collaborative cross-examination, autonomous problem-solving, and scalable solutio…

Bodioid: philosophical reflections on the hybrid of bodies and artefacts towards post-human
Jiang XuTongji University, College of Design and Innovation, Shanghai, China, Gang SunTongji University, College of Design and Innovation, Shanghai, China, Jingyu XuTongji University, College of Design and Innovation, Shanghai, China, Pujie SuTongji University, College of Design and Innovation, Shanghai, China

Bodioid: philosophical reflections on the hybrid of bodies and artefacts towards post-human
The advent of the post-human era has blurred the boundary between the body and artifacts. Further, external materials and information are more deeply integrated into the body, making emerging technology a key driving force for shaping post-human existence and promoting bodily evolution. Based on this, this study analyses the transformation process of three technological forms, namely tools, machines, and cyborgs, and reveals the construction of bodies and artifacts. From the phenomenological pe…

Digitality as a "longue dur\`ee" historical phenomenon
Salvatore Spina
https://arxiv.org/abs/2403.03869 https://arxiv.org/p…

Digitality as a "longue durèe" historical phenomenon
The digital age introduced the Digital Ecological Niche (DEN), revolutionizing human interactions. The advent of Digital History (DHy) has marked a methodological shift in historical studies, tracing its roots to Babbage and Lovelace's 19th-century work on "coding" as a foundational communication process, fostering a new interaction paradigm between humans and machines, termed "person2persons2machines." This evolution, through digitization and informatization, builds upon ancient coding practic…

Here's my latest Human Meme podcast episode: Evolution of Drama: Aristotle, Avant-Garde, and Absurdist Theatre Unveiled - http://sites.libsyn.com/84966/evolution-of-drama-aristotle-avant-garde-and-absurdist-theatre-unveiled

This https://arxiv.org/abs/2401.02051 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Mode
Heuristics are indispensable for tackling complex search and optimization problems. However, manual heuristic design is tedious and demands significant human intuition and experience. This paper introduces Evolution of Heuristic (EoH), a novel paradigm that leverages the synergy between Large Language Models (LLMs) and Evolutionary Computation (EC) for Automatic Heuristic Design (AHD). EoH represents heuristic ideas through linguistic descriptions, termed thoughts, generated by LLMs, which are …

Emergent communication and learning pressures in language models: a language evolution perspective
Lukas Galke, Limor Raviv
https://arxiv.org/abs/2403.14427

Emergent communication and learning pressures in language models: a language evolution perspective
Language models and humans are two types of learning systems. Finding or facilitating commonalities could enable major breakthroughs in our understanding of the acquisition and evolution of language. Many theories of language evolution rely heavily on learning biases and learning pressures. Yet due to substantial differences in learning pressures, it is questionable whether the similarity between humans and machines is sufficient for insights to carry over and to be worth testing with human par…

Understanding the genetic mechanism fueling SARS-CoV-2's ability to generate variants can go a long way in keeping COVID at bay.
In this study published in Nature Microbiology, researchers at Baylor College of Medicine and collaborating institutions developed a new technology called
tARC-seq that revealed a genetic mechanism affecting SARS-CoV-2 divergence
and enabled the team to calculate SARS-CoV-2's mutation rate.
Using tARC-seq, the researchers also capt…

Study discovers hidden mechanism behind rapid COVID variants
The SARS-CoV-2 virus that causes COVID has the unsettling ability of often generating variants of itself. Other viruses also mutate, but as SARS-CoV-2 quickly spread throughout the entire human population during the pandemic, killing millions, the virus' dynamic evolution posed a serious problem: it repeatedly challenged our bodies' immune response fighting the virus and hindered the process of getting updated vaccines ready.

This https://arxiv.org/abs/2404.00600 has been replaced.
link: https://scholar.google.com/scholar?q=a

AI Act and Large Language Models (LLMs): When critical issues and privacy impact require human and ethical oversight
The imposing evolution of artificial intelligence systems and, specifically, of Large Language Models (LLM) makes it necessary to carry out assessments of their level of risk and the impact they may have in the area of privacy, personal data protection and at an ethical level, especially on the weakest and most vulnerable. This contribution addresses human oversight, ethical oversight, and privacy impact assessment.

Toward Safe Evolution of Artificial Intelligence (AI) based Conversational Agents to Support Adolescent Mental and Sexual Health Knowledge Discovery
Jinkyung Park, Vivek Singh, Pamela Wisniewski
https://arxiv.org/abs/2404.03023

Toward Safe Evolution of Artificial Intelligence (AI) based Conversational Agents to Support Adolescent Mental and Sexual Health Knowledge Discovery
Following the recent release of various Artificial Intelligence (AI) based Conversation Agents (CAs), adolescents are increasingly using CAs for interactive knowledge discovery on sensitive topics, including mental and sexual health topics. Exploring such sensitive topics through online search has been an essential part of adolescent development, and CAs can support their knowledge discovery on such topics through human-like dialogues. Yet, unintended risks have been documented with adolescents…

Here's my latest Human Meme podcast episode: Exploring the Soul of the Blues: Legends, Evolution, and Future Insights - http://sites.libsyn.com/84966/exploring-the-soul-of-the-blues-legends-evolution-and-future-insights<…

Long-term evolution of solar activity and prediction of the following solar cycles
Peixin LuoNational Astronomical Observatories of Chinese Academy of Sciences, China, School of Astronomy and Space Science, University of Chinese Academy of Sciences, China, Baolin TanNational Astronomical Observatories of Chinese Academy of Sciences, China, School of Astronomy and Space Science, University of Chinese Academy of Sciences, China

Long-term evolution of solar activity and prediction of the following solar cycles
Solar activities have a great impact on modern high-tech systems, such as human aerospace, satellite communication and navigation, deep space exploration, and related scientific research. Therefore, studying the long - term evolution trend of solar activity and accurately predicting the future solar cycles is highly anticipated. Based on wavelet transform and empirical function fitting of the longest recorded data of the annual average relative sunspot number (ASN) series of 323 years to date, …

Geospatial Big Data: Survey and Challenges
Jiayang Wu, Wensheng Gan, Han-Chieh Chao, Philip S. Yu
https://arxiv.org/abs/2404.18428 https://

Geospatial Big Data: Survey and Challenges
In recent years, geospatial big data (GBD) has obtained attention across various disciplines, categorized into big earth observation data and big human behavior data. Identifying geospatial patterns from GBD has been a vital research focus in the fields of urban management and environmental sustainability. This paper reviews the evolution of GBD mining and its integration with advanced artificial intelligence (AI) techniques. GBD consists of data generated by satellites, sensors, mobile devices…

Modelling co-evolution of resource feedback and social network dynamics in human-environmental systems
Meghdad Saeedian, Chengyi Tu, Fabio Menegazzo, Paolo D'Odorico, Sandro Azaele, Samir Suweis
https://arxiv.org/abs/2403.10938

Modelling co-evolution of resource feedback and social network dynamics in human-environmental systems
Games with environmental feedback have become a crucial area of study across various scientific domains, modelling the dynamic interplay between human decisions and environmental changes, and highlighting the consequences of our choices on natural resources and biodiversity. In this work, we propose a co-evolutionary model for human-environment systems that incorporates the effects of knowledge feedback and social interaction on the sustainability of common pool resources. The model represents …

Toward Safe Evolution of Artificial Intelligence (AI) based Conversational Agents to Support Adolescent Mental and Sexual Health Knowledge Discovery
Jinkyung Park, Vivek Singh, Pamela Wisniewski
https://arxiv.org/abs/2404.03023

Toward Safe Evolution of Artificial Intelligence (AI) based Conversational Agents to Support Adolescent Mental and Sexual Health Knowledge Discovery
Following the recent release of various Artificial Intelligence (AI) based Conversation Agents (CAs), adolescents are increasingly using CAs for interactive knowledge discovery on sensitive topics, including mental and sexual health topics. Exploring such sensitive topics through online search has been an essential part of adolescent development, and CAs can support their knowledge discovery on such topics through human-like dialogues. Yet, unintended risks have been documented with adolescents…

New stairways to the stars. Birth and evolution of two pioneering Usenet newsgroups in astrophysics (1983-1994)
Monica Marra
https://arxiv.org/abs/2402.15845

New stairways to the stars. Birth and evolution of two pioneering Usenet newsgroups in astrophysics (1983-1994)
The foundation of two pioneering Usenet newsgroups in astrophysics - still existent today - and some of the main milestones in their history have been tracked from the origins at Princeton University in 1983 to 1994. To this aim, in line with authoritative recommendations from the discipline of web history, different kinds of sources have been retrieved and combined: mainly, online archives of Usenet newsgroups and human sources. The latter have included on one side the kind contribution provid…

Concepts and methods for predicting viral evolution
Matthijs Meijers, Denis Ruchnewitz, Jan Eberhardt, Malancha Karmakar, Marta {\L}uksza, Michael L\"assig
https://arxiv.org/abs/2403.12684

Concepts and methods for predicting viral evolution
The seasonal human influenza virus undergoes rapid evolution, leading to significant changes in circulating viral strains from year to year. These changes are typically driven by adaptive mutations, particularly in the antigenic epitopes, the regions of the viral surface protein haemagglutinin targeted by human antibodies. Here we describe a consistent set of methods for data-driven predictive analysis of viral evolution. Our pipeline integrates four types of data: (1) sequence data of viral is…

Long-term evolution of solar activity and prediction of the following solar cycles
Peixin LuoNational Astronomical Observatories of Chinese Academy of Sciences, China, School of Astronomy and Space Science, University of Chinese Academy of Sciences, China, Baolin TanNational Astronomical Observatories of Chinese Academy of Sciences, China, School of Astronomy and Space Science, University of Chinese Academy of Sciences, China

Long-term evolution of solar activity and prediction of the following solar cycles
Solar activities have a great impact on modern high-tech systems, such as human aerospace, satellite communication and navigation, deep space exploration, and related scientific research. Therefore, studying the long - term evolution trend of solar activity and accurately predicting the future solar cycles is highly anticipated. Based on wavelet transform and empirical function fitting of the longest recorded data of the annual average relative sunspot number (ASN) series of 323 years to date, …

Design and Fabrication of String-driven Origami Robots
Peiwen Yang, Shuguang Li
https://arxiv.org/abs/2404.09222 https://arxiv.org/pd…

Design and Fabrication of String-driven Origami Robots
Origami designs and structures have been widely used in many fields, such as morphing structures, robotics, and metamaterials. However, the design and fabrication of origami structures rely on human experiences and skills, which are both time and labor-consuming. In this paper, we present a rapid design and fabrication method for string-driven origami structures and robots. We developed an origami design software to generate desired crease patterns based on analytical models and Evolution Strat…

New stairways to the stars. Birth and evolution of two pioneering Usenet newsgroups in astrophysics (1983-1994)
Monica Marra
https://arxiv.org/abs/2402.15845

New stairways to the stars. Birth and evolution of two pioneering Usenet newsgroups in astrophysics (1983-1994)
The foundation of two pioneering Usenet newsgroups in astrophysics - still existent today - and some of the main milestones in their history have been tracked from the origins at Princeton University in 1983 to 1994. To this aim, in line with authoritative recommendations from the discipline of web history, different kinds of sources have been retrieved and combined: mainly, online archives of Usenet newsgroups and human sources. The latter have included on one side the kind contribution provid…

An Overview of Automated Vehicle Platooning Strategies
M Sabbir Salek, Mugdha Basu Thakur, Pardha Sai Krishna Ala, Mashrur Chowdhury, Matthias Schmid, Pamela Murray-Tuite, Sakib Mahmud Khan, Venkat Krovi
https://arxiv.org/abs/2403.05415

An Overview of Automated Vehicle Platooning Strategies
Automated vehicle (AV) platooning has the potential to improve the safety, operational, and energy efficiency of surface transportation systems by limiting or eliminating human involvement in the driving tasks. The theoretical validity of the AV platooning strategies has been established and practical applications are being tested under real-world conditions. The emergence of sensors, communication, and control strategies has resulted in rapid and constant evolution of AV platooning strategies.…

Concepts and methods for predicting viral evolution
Matthijs Meijers, Denis Ruchnewitz, Jan Eberhardt, Malancha Karmakar, Marta {\L}uksza, Michael L\"assig
https://arxiv.org/abs/2403.12684

Concepts and methods for predicting viral evolution
The seasonal human influenza virus undergoes rapid evolution, leading to significant changes in circulating viral strains from year to year. These changes are typically driven by adaptive mutations, particularly in the antigenic epitopes, the regions of the viral surface protein haemagglutinin targeted by human antibodies. Here we describe a consistent set of methods for data-driven predictive analysis of viral evolution. Our pipeline integrates four types of data: (1) sequence data of viral is…

The European Commitment to Human-Centered Technology: The Integral Role of HCI in the EU AI Act's Success
Andr\'e Calero Valdez, Moreen Heine, Thomas Franke, Nicole Jochems, Hans-Christian Jetter, Tim Schrills
https://arxiv.org/abs/2402.14728

The European Commitment to Human-Centered Technology: The Integral Role of HCI in the EU AI Act's Success
The evolution of AI is set to profoundly reshape the future. The European Union, recognizing this impending prominence, has enacted the AI Act, regulating market access for AI-based systems. A salient feature of the Act is to guard democratic and humanistic values by focusing regulation on transparency, explainability, and the human ability to understand and control AI systems. Hereby, the EU AI Act does not merely specify technological requirements for AI systems. The EU issues a democratic ca…

Promoting collective cooperation through temporal interactions
Yao Meng, Alex McAvoy, Aming Li
https://arxiv.org/abs/2404.07530 https://

Promoting collective cooperation through temporal interactions
Collective cooperation drives the dynamics of many natural, social, and economic phenomena, making understanding the evolution of cooperation with evolutionary game theory a central question of modern science. Although human interactions are best described as complex networks, current explorations are limited to static networks where interactions represented by network links are permanent and do not change over time. In reality, human activities often involve temporal interactions, where links …

This https://arxiv.org/abs/2402.07252 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Eco-evolutionary dynamics of adapting pathogens and host immunity
As pathogens spread in a population of hosts, immunity is built up and the pool of susceptible individuals is depleted. This generates selective pressure, to which many human RNA viruses, such as influenza virus or SARS-CoV-2, respond with rapid antigenic evolution and frequent emergence of immune evasive variants. However, the host's immune systems adapt and older immune responses wane, such that escape variants only enjoy a growth advantage for a limited time. If variant growth dynamics and r…

AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous Systems
Jiaying Lu, Bo Pan, Jieyi Chen, Yingchaojie Feng, Jingyuan Hu, Yuchen Peng, Wei Chen
https://arxiv.org/abs/2402.08995

AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous Systems
Recently, Large Language Model based Autonomous system(LLMAS) has gained great popularity for its potential to simulate complicated behaviors of human societies. One of its main challenges is to present and analyze the dynamic events evolution of LLMAS. In this work, we present a visualization approach to explore detailed statuses and agents' behavior within LLMAS. We propose a general pipeline that establishes a behavior structure from raw LLMAS execution events, leverages a behavior summariza…