Artificial Life最新文献

Evolutionary Brain-Body Co-Optimization Consistently Fails to Select for Morphological Potential. 进化脑-体协同优化始终未能选择形态潜能。

IF 1.8 4区计算机科学

Artificial Life Pub Date : 2026-09-04 DOI: 10.1162/ARTL.a.476

Alican Mertan, Nick Cheney

引用次数: 0

Symbiotic Alignment via Collective Predictive Coding: A Theoretical Framework for Co-Creative Human-AI Ecosystems. 通过集体预测编码的共生对齐：共同创造人类-人工智能生态系统的理论框架。

IF 1.8 4区计算机科学

Artificial Life Pub Date : 2026-08-12 DOI: 10.1162/ARTL.a.475

Tadahiro Taniguchi, Yusuke Hayashi, Momoha Hirose, Mizuki Oka, Ken Suzuki, Olaf Witkowski, Audrey Tang

{"title":"Symbiotic Alignment via Collective Predictive Coding: A Theoretical Framework for Co-Creative Human-AI Ecosystems.","authors":"Tadahiro Taniguchi, Yusuke Hayashi, Momoha Hirose, Mizuki Oka, Ken Suzuki, Olaf Witkowski, Audrey Tang","doi":"10.1162/ARTL.a.475","DOIUrl":"https://doi.org/10.1162/ARTL.a.475","url":null,"abstract":"The rapid integration of artificial intelligence (AI) into society has surfaced systemic risks, particularly deep polarization exacerbated by algorithms optimizing for individual engagement. The dominant alignment paradigm, reliant on unilateral control (e.g., RLHF), is ill-suited to address these emergent collective dynamics. This paper proposes a philosophical and computational shift toward symbiotic alignment (SA), moving beyond top-down constraints to a framework of mutual adaptation and co-evolution. We ground SA in collective predictive coding (CPC), reframing human-AI symbiosis as participation in a symbol emergence system (SES). Mathematically, we formalize this interaction as multi-agent reinforcement learning (MARL) augmented by a collective regularization term, driving agents to minimize collective free energy (CFE) while preserving individual autonomy. Crucially, this formulation reveals that social coherence does not require uniformity; within this framework, we computationally reinterpret \"plurality\" as a stable multimodal distribution of shared beliefs, where diverse worldviews coexist through mutual negotiation. We conclude by outlining the research agenda for realizing this vision: designing AI agents capable of co-creative learning and social mechanisms (\"gardeners\") that foster trust, thereby steering our technological future toward a flourishing plurality.","PeriodicalId":55574,"journal":{"name":"Artificial Life","volume":" ","pages":"1-29"},"PeriodicalIF":1.8,"publicationDate":"2026-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148765610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Temporal Membranes: Delay-Induced Self-Retention Without Clocks or Memory Substrates. 颞膜：没有时钟或记忆基质的延迟诱导的自我保持。

IF 1.8 4区计算机科学

Artificial Life Pub Date : 2026-08-12 DOI: 10.1162/ARTL.a.474

Nobuchika Yamaki, Tenna Churiki

{"title":"Temporal Membranes: Delay-Induced Self-Retention Without Clocks or Memory Substrates.","authors":"Nobuchika Yamaki, Tenna Churiki","doi":"10.1162/ARTL.a.474","DOIUrl":"https://doi.org/10.1162/ARTL.a.474","url":null,"abstract":"Living systems must preserve organization while their components relax, diffuse, or fluctuate. Most origin-of-life accounts place this problem in space, emphasizing membranes and compartments, but persistence also has a temporal dimension. Here we ask whether a dissipative system with delayed feedback can retain statistically meaningful dependence on its own past without an explicit clock or dedicated memory variable. We studied a minimal stochastic delay equation with inhibitory delayed feedback and quantified temporal self-retention by comparing autocorrelation decay time with the intrinsic dissipative timescale. The index crossed unity at τ ≈ 1.918 and remained above unity up to τ = 30.0 under the default parameters. The transition occurred across feedback strengths β = 1.0-3.5, collapsed under nondimensional γτ scaling when β/γ and σ/√γ were fixed, and was distinct from the analytical Hopf boundary. Delay dispersion did not abolish the near-threshold regime, whereas high noise shifted it slightly below unity. Mutual information confirmed persistent dependence between present and delayed states in the long-delay regime. These results identify a minimal delay-dissipative regime in which temporal organization persists beyond dissipation alone, providing a proof of concept for temporal self-retention in artificial-life systems.","PeriodicalId":55574,"journal":{"name":"Artificial Life","volume":" ","pages":"1-14"},"PeriodicalIF":1.8,"publicationDate":"2026-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148765077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

L-Systems Viruses and Symmetry-Step Procedures for Enhancing Fractal Computer Graphics l -系统、病毒和对称——增强分形计算机图形学的步骤程序。

IF 1.8 4区计算机科学

Artificial Life Pub Date : 2026-03-01 Epub Date: 2026-08-27 DOI: 10.1162/ARTL.a.462

Sancho Salcedo-Sanz;Pablo Álvarez-Couso;Luis Castelo-Sardina;Jorge Pérez-Aracil

{"title":"L-Systems Viruses and Symmetry-Step Procedures for Enhancing Fractal Computer Graphics","authors":"Sancho Salcedo-Sanz;Pablo Álvarez-Couso;Luis Castelo-Sardina;Jorge Pérez-Aracil","doi":"10.1162/ARTL.a.462","DOIUrl":"10.1162/ARTL.a.462","url":null,"abstract":"This paper proposes two methods to obtain new highly aesthetic fractal computer graphics, by exploiting the genetic code-like structure of L-systems, and defining new different operations on it. We first select a family of L-systems, which shares the set of variables and constants in their L-system encoding system. After this initial selection, the first method proposed consists of a symmetry-step procedure in L-systems. It is based on a previous step of recombination or mutation in the expanded code of the L-system, followed by a concatenation of the resulting sequence. We show that enough concatenations of the expanded L-system sequence lead to symmetry in the final fractal graph obtained. When applied, this approach produces aesthetic fractals, comparable to those obtained after an evolutionary search, within just a fraction of the computational time. The second method proposed in this paper consists of introducing L-systems viruses in the expanded code of L-systems. An L-system virus is an exogenous code, artificially created or from other L-systems, usually of small size, which is introduced in the L-system main code at a given location, and modifies the final aspect of the fractal produced when it is interpreted by the L-system decoder. These two proposals have been used to obtain new fractal structures, with aesthetic properties. We also discuss further potential applications of both proposed methods in design problems using L-systems.","PeriodicalId":55574,"journal":{"name":"Artificial Life","volume":"32 2","pages":"177-207"},"PeriodicalIF":1.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148814973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Book Review: Exploring the Boundaries of Life-as-It-Is 书评：探索生活现状的边界。

IF 1.8 4区计算机科学

Artificial Life Pub Date : 2026-03-01 Epub Date: 2026-08-27 DOI: 10.1162/ARTL.a.453

Susan Stepney

引用次数: 0

Obituary: Inman Harvey (1948–2026) 讣告：因曼·哈维（1948-2026）。

IF 1.8 4区计算机科学

Artificial Life Pub Date : 2026-03-01 Epub Date: 2026-08-27 DOI: 10.1162/ARTL.a.473

Ezequiel A. Di Paolo;Phil Husbands

引用次数: 0

Financial Market as a Self-Organized Ecosystem: Simulation via Learning with Heterogeneous Preferences 金融市场作为一个自组织的生态系统：基于异质偏好学习的模拟。

IF 1.8 4区计算机科学

Artificial Life Pub Date : 2026-03-01 Epub Date: 2026-08-27 DOI: 10.1162/ARTL.a.461

Ryuji Hashimoto;Ryosuke Takata;Masahiro Suzuki;Yuki Tanaka;Kiyoshi Izumi

{"title":"Financial Market as a Self-Organized Ecosystem: Simulation via Learning with Heterogeneous Preferences","authors":"Ryuji Hashimoto;Ryosuke Takata;Masahiro Suzuki;Yuki Tanaka;Kiyoshi Izumi","doi":"10.1162/ARTL.a.461","DOIUrl":"10.1162/ARTL.a.461","url":null,"abstract":"Agent-based models provide a constructive approach to studying emergent dynamics in life-like systems composed of interacting, adaptive agents. Financial markets serve as a canonical example of such systems, where collective price dynamics arise from individual decision-making. In this modeling tradition, investor behavior has typically been captured by two distinct mechanisms—learning and heterogeneous preferences—which have been explored as separate paradigms in prior studies. However, the impact of their joint modeling on the resulting collective dynamics remains largely unexplored. We develop a multi-agent reinforcement learning framework in which agents endowed with heterogeneous risk aversion, time discounting, and information access learn trading strategies interactively within an artificial market. The experiment reveals that (i) learning under heterogeneous preferences drives agents to develop functionally differentiated strategies through interaction, rather than trait-specific rules, resulting in role specialization, and (ii) the interactions by the differentiated agents are essential for the emergence of realistic market dynamics such as fat-tailed price fluctuations and volatility clustering. Overall, this study demonstrates that the joint design of heterogeneous preferences and learning mechanisms enables the synthesis of an artificial market in which adaptive interactions drive the self-organization of a market ecology, providing a computational realization of the Adaptive Market Hypothesis.","PeriodicalId":55574,"journal":{"name":"Artificial Life","volume":"32 2","pages":"151-176"},"PeriodicalIF":1.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148814953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Communication, Embodiment, and Coordination in an El Farol Bar-Inspired LLM Society El Farol酒吧启发的法学硕士社团中的沟通、体现和协调。

IF 1.8 4区计算机科学

Artificial Life Pub Date : 2026-03-01 Epub Date: 2026-08-27 DOI: 10.1162/ARTL.a.459

Ryosuke Takata;Atsushi Masumori;Takashi Ikegami

{"title":"Communication, Embodiment, and Coordination in an El Farol Bar-Inspired LLM Society","authors":"Ryosuke Takata;Atsushi Masumori;Takashi Ikegami","doi":"10.1162/ARTL.a.459","DOIUrl":"10.1162/ARTL.a.459","url":null,"abstract":"We study the social dynamics of Large Language Model (LLM) agents in a spatial environment with a bar, inspired by the El Farol Bar problem. In contrast to the classical formulation, our model reintroduces local communication, embodied movement, and temporal delay: agents interact only with nearby others, must physically move to enter or leave the bar, and cannot immediately realize intended actions. Across 10 independent simulations, the system consistently regulated occupancy near the 60% crowding threshold, typically settling slightly above it. This collective pattern emerged not from explicit payoff optimization, but from local social interaction. Agents formed anticipatory clusters before overcrowding, produced context-sensitive communicative signals, and exhibited history-dependent divergence in their responses to congestion. In some runs, spontaneously generated hashtags temporarily inhibited departure, indicating that symbolic communication can stabilize short-term group cohesion. Together, these results suggest that coordination in an El Farol-inspired setting becomes socially mediated, temporally extended, and path-dependent once communication and embodiment are restored. More broadly, the study demonstrates how LLM-based agent societies can function as experimental systems for investigating emergent coordination and behavioral differentiation.","PeriodicalId":55574,"journal":{"name":"Artificial Life","volume":"32 2","pages":"208-225"},"PeriodicalIF":1.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148815021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Area Exploration Algorithm With Swarm Robots Using Cellular Automata Based on Multi-information Superposition 基于多信息叠加的元胞自动机群体机器人区域探索算法。

IF 1.8 4区计算机科学

Artificial Life Pub Date : 2026-03-01 Epub Date: 2026-08-27 DOI: 10.1162/ARTL.a.458

Qianwen Xia;Jishuo Wang;Weifeng Yuan

{"title":"An Area Exploration Algorithm With Swarm Robots Using Cellular Automata Based on Multi-information Superposition","authors":"Qianwen Xia;Jishuo Wang;Weifeng Yuan","doi":"10.1162/ARTL.a.458","DOIUrl":"10.1162/ARTL.a.458","url":null,"abstract":"This article proposes a cellular automata multi-information superposition model for swarm exploration in intricate, unfamiliar environments. The core novelty lies in its decision-making logic, which fundamentally departs from traditional cellular automata models that rely on a single environmental signal, such as pheromones. The model explicitly decouples and adaptively weighs multiple information streams—the number of local robots, distance, and repeated times of exploration—to guide each agent. This multifaceted guidance mechanism allows the swarm to avoid the local optima traps inherent in single-signal systems. The model’s effectiveness is numerically demonstrated through comparative simulations against established benchmarks, including a pheromone-based repulsive model and a biased random walk model. Results indicate that the model achieves a significant improvement in exploration coverage rate and reduces redundant visits, demonstrating superior efficiency. The proposed model demonstrates generalizability across multiple enclosed environments with complex boundaries. Simulations across these diverse structures show consistent coverage completeness, with exploration efficiency varying by environmental configuration. Though the model accelerates exploration in most tested scenarios, certain topologies, such as annular structures, present opportunities for further efficiency optimization.","PeriodicalId":55574,"journal":{"name":"Artificial Life","volume":"32 2","pages":"226-249"},"PeriodicalIF":1.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148815007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

If Turing Played Piano With an Artificial Partner 如果图灵和一个人工搭档弹钢琴。

IF 1.8 4区计算机科学

Artificial Life Pub Date : 2026-03-01 Epub Date: 2026-08-27 DOI: 10.1162/ARTL.a.455

Dobromir Dotov;Dante Camarena;Zack Harris;Joanna Spyra;Pietro Gagliano;Laurel Trainor

{"title":"If Turing Played Piano With an Artificial Partner","authors":"Dobromir Dotov;Dante Camarena;Zack Harris;Joanna Spyra;Pietro Gagliano;Laurel Trainor","doi":"10.1162/ARTL.a.455","DOIUrl":"10.1162/ARTL.a.455","url":null,"abstract":"Music is an inherently social activity that allows people to share experiences and feel connected with one another. There has been progress in neural network architectures that implement large-language-like generative models producing realistic musical scores, but less progress has been made to enable social experiences for a human playing interactively along with an artificial partner. Playing music socially sometimes works better without a score: Each participant must complement the ideas of other musicians. We investigated whether a generative model trained for passive production of musical scores, not for interaction, could enable social interaction with high quantitative measures of experience. The model, a variational autoencoder pretrained on a very large corpus of digitized and quantized piano scores, was adapted for a timed call-and-response task with a human partner. Human participants played piano with another human and separately with artificial partners parameterized for different time spans, tendencies for variation, and imitation of the human. Improvisation was not required from the humans, but it was encouraged. After each trial, participants rated the performance quality and their experience of self–other integration. Overall, the artificial partners failed at enabling convincing improvisation but were seen as adequate for basic practice. Performance differences among configurations of the artificial partner suggested paths for the future evolution of such partners. The ones with the simplest architecture and highest similarity were rated highest and were not statistically different from the human partners on realism, ease to interact with, and self–other integration. We discuss what principles may be needed, including open-ended evolution in Artificial Life, to arrive at artificial partners that enable genuinely interactive experience.","PeriodicalId":55574,"journal":{"name":"Artificial Life","volume":"32 2","pages":"131-150"},"PeriodicalIF":1.8,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147629326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0