Hasil untuk "Religions of the world"

Yohanes Parihala, Rachel Iwamony, Olivia R. Sekewael

The Maluku conflict from 1999 to 2004 provides valuable data for building interreligious shared communities. In the pursuit of peace, religion and the local culture of Maluku played a significant role. This article explicitly analyzes the religious and cultural texts that contribute to maintaining the peace of Maluku. This article argues that the Eucharist (Luke 22:14–20) and the shared-meal traditions of makan patita and fayatat in Maluku share common values—sharing, hospitality, sacrifice, and peace—that can be woven together as a model for sustaining interreligious harmony in Maluku. The celebration of the Eucharist is an essential part of Christian tradition, and interreligious people in Maluku still practice makan patita or fayatat. This shared narrative can contribute to building shared interreligious communities. The shared community could become a space to build a life together that embraces each other. This study uses a qualitative research approach by analyzing three main themes, namely exploring the meaning of the Eucharist in Luke 22:14-20; analyzing the practice and value of eating patita or fayatat in Maluku; and ending with the construction of contextual theology by intertwining the Eucharist and makan patita or fayatat as a model for maintaining peace in Maluku.

Yuxin Jiang, Yuchao Gu, Ivor W. Tsang et al.

Scaling action-controllable world models is limited by the scarcity of action labels. While latent action learning promises to extract control interfaces from unlabeled video, learned latents often fail to transfer across contexts: they entangle scene-specific cues and lack a shared coordinate system. This occurs because standard objectives operate only within each clip, providing no mechanism to align action semantics across contexts. Our key insight is that although actions are unobserved, their semantic effects are observable and can serve as a shared reference. We introduce Seq$Δ$-REPA, a sequence-level control-effect alignment objective that anchors integrated latent action to temporal feature differences from a frozen, self-supervised video encoder. Building on this, we present Olaf-World, a pipeline that pretrains action-conditioned video world models from large-scale passive video. Extensive experiments demonstrate that our method learns a more structured latent action space, leading to stronger zero-shot action transfer and more data-efficient adaptation to new control interfaces than state-of-the-art baselines.

Dane Malenfant

Reusable decision structure survives across episodes in reinforcement learning, but this depends on how the agent--world boundary is drawn. In stationary, finite-horizon MDPs, an invariant core: the (not-necessarily contiguous) subsequences of state--action pairs shared by all successful trajectories (optionally under a simple abstraction) can be constructed. Under mild goal-conditioned assumptions, it's existence can be proven and explained by how the core captures prototypes that transfer across episodes. When the same task is embedded in a decentralized Markov game and the peer agent is folded into the world, each peer-policy update induces a new MDP; the per-episode invariant core can shrink or vanish, even with small changes to the induced world dynamics, sometimes leaving only the individual task core or just nothing. This policy-induced non-stationarity can be quantified with a variation budget over the induced kernels and rewards, linking boundary drift to loss of invariants. The view that a continual RL problem arises from instability of the agent--world boundary (rather than exogenous task switches) in decentralized MARL suggests future work on preserving, predicting, or otherwise managing boundary drift.

Yuejiang Liu, Fan Feng, Lingjing Kong et al.

General-purpose world models promise scalable policy evaluation, optimization, and planning, yet achieving the required level of robustness remains challenging. Unlike policy learning, which primarily focuses on optimal actions, a world model must be reliable over a much broader range of suboptimal actions, which are often insufficiently covered by action-labeled interaction data. To address this challenge, we propose World Action Verifier (WAV), a framework that enables world models to identify their own prediction errors and self-improve. The key idea is to decompose action-conditioned state prediction into two factors -- state plausibility and action reachability -- and verify each separately. We show that these verification problems can be substantially easier than predicting future states due to two underlying asymmetries: the broader availability of action-free data and the lower dimensionality of action-relevant features. Leveraging these asymmetries, we augment a world model with (i) a diverse subgoal generator obtained from video corpora and (ii) a sparse inverse model that infers actions from a subset of state features. By enforcing cycle consistency among generated subgoals, inferred actions, and forward rollouts, WAV provides an effective verification mechanism in under-explored regimes, where existing methods typically fail. Across nine tasks spanning MiniGrid, RoboMimic, and ManiSkill, our method achieves 2x higher sample efficiency while improving downstream policy performance by 18%.

Bilge Taskin, Teddy Lazebnik

Religions are among the most consequential social institutions, shaping collective identities, moral norms, and political organization across societies and historical periods. Nevertheless, despite extensive scholarship describing conversion, competition, and secularization, there is still no widely adopted formal model that captures religious dynamics over time within a unified, mechanistic framework. In this study, we propose an epidemiologically grounded model of religious change in which religions spread and compete analogously to co-circulating strains. The model extends multi-strain compartmental dynamics by distinguishing passive believers, active missionaries, and religious elites, and by incorporating demographic turnover and mutation-like splitting that endogenously generates new denominations. Using computer simulations, we show that the same mechanism reproduces canonical qualitative regimes, including emergence from rarity, rapid expansion, long-run coexistence, and transient rise-and-fall movements. A reduced calibration variant fits historical affiliation trajectories with parsimonious regime shifts in effective recruitment and disaffiliation, yielding interpretable signatures of changing social conditions. Finally, sensitivity analyses map sharp regime boundaries in parameter space, indicating that modest shifts in recruitment efficacy or retention among active spreaders can qualitatively alter long-run religious landscapes. These results establish a general, interpretable framework for studying religion as a dynamical diffusion process and provide a tool for comparative inference and counterfactual analysis in sociological research.

Robbyant Team, Zelin Gao, Qiuyu Wang et al.

We present LingBot-World, an open-sourced world simulator stemming from video generation. Positioned as a top-tier world model, LingBot-World offers the following features. (1) It maintains high fidelity and robust dynamics in a broad spectrum of environments, including realism, scientific contexts, cartoon styles, and beyond. (2) It enables a minute-level horizon while preserving contextual consistency over time, which is also known as "long-term memory". (3) It supports real-time interactivity, achieving a latency of under 1 second when producing 16 frames per second. We provide public access to the code and model in an effort to narrow the divide between open-source and closed-source technologies. We believe our release will empower the community with practical applications across areas like content creation, gaming, and robot learning.

Rishi Upadhyay, Howard Zhang, Jim Solomon et al.

Recent advances in generative foundational models, often termed "world models," have propelled interest in applying them to critical tasks like robotic planning and autonomous system training. For reliable deployment, these models must exhibit high physical fidelity, accurately simulating real-world dynamics. Existing physics-based video benchmarks, however, suffer from entanglement, where a single test simultaneously evaluates multiple physical laws and concepts, fundamentally limiting their diagnostic capability. We introduce WorldBench, a novel video-based benchmark specifically designed for concept-specific, disentangled evaluation, allowing us to rigorously isolate and assess understanding of a single physical concept or law at a time. To make WorldBench comprehensive, we design benchmarks at two different levels: 1) an evaluation of intuitive physical understanding with concepts such as object permanence or scale/perspective, and 2) an evaluation of low-level physical constants and material properties such as friction coefficients or fluid viscosity. When SOTA video-based world models are evaluated on WorldBench, we find specific patterns of failure in particular physics concepts, with all tested models lacking the physical consistency required to generate reliable real-world interactions. Through its concept-specific evaluation, WorldBench offers a more nuanced and scalable framework for rigorously evaluating the physical reasoning capabilities of video generation and world models, paving the way for more robust and generalizable world-model-driven learning.

H. E. Metropolitan Gabriel of Nea Ionia

Interreligious dialogue between Christian churches and non‐Christian religions emerged as a natural extension of the ecumenical movement, which had already been institutionalized by international ecclesiastical organizations. After the Second World War, dialogue became an imperative in the context of a new international order shaped by the principles of the United Nations – particularly issues of human rights, minority protection, freedom of conscience, and religious tolerance. The Roman Catholic Church entered this arena decisively in the years preceding the Second Vatican Council (1962–65), interpreting dialogue within the framework of its missionary vocation. If Unitatis redintegratio formalized Catholic participation in intra‐Christian dialogue, Nostra aetate laid the foundation for interreligious dialogue, which until then had not been a priority. Early Catholic engagement distinguished between Abrahamic monotheisms (Judaism, Islam) and Afro‐Asian traditions (Hinduism, Buddhism, Taoism, animism), the latter often approached mainly through missionary activity. This historical context highlights the evolving theological understanding and challenges of interreligious dialogue.

Will M Gervais, Ryan T. McKay, J. Brown-Iannuzzi et al.

Significance Religion is a cross-cultural human universal, and religions may have been instrumental in the cultural evolution of widespread cooperation and prosociality. Nonetheless, religiosity has rapidly declined in some parts of the world over just a handful of decades. We tested whether long-standing religious influence intuitively lingers, even in overtly secular and nonreligious societies. Using a classic experimental philosophy task, we found that even atheists in nonreligious societies show evidence of intuitive preferences for religious belief over atheism. This is compelling cross-cultural experimental evidence for intuitive preferences for religion among nonbelievers—a hypothesized phenomenon that philosopher Daniel Dennett dubbed belief in belief.

Julian Quevedo, Ansh Kumar Sharma, Yixiang Sun et al.

Evaluating robot control policies is difficult: real-world testing is costly, and handcrafted simulators require manual effort to improve in realism and generality. We propose a world-model-based policy evaluation environment (WorldGym), an autoregressive, action-conditioned video generation model which serves as a proxy to real world environments. Policies are evaluated via Monte Carlo rollouts in the world model, with a vision-language model providing rewards. We evaluate a set of VLA-based real-robot policies in the world model using only initial frames from real robots, and show that policy success rates within the world model highly correlate with real-world success rates. Moreoever, we show that WorldGym is able to preserve relative policy rankings across different policy versions, sizes, and training checkpoints. Due to requiring only a single start frame as input, the world model further enables efficient evaluation of robot policies' generalization ability on novel tasks and environments. We find that modern VLA-based robot policies still struggle to distinguish object shapes and can become distracted by adversarial facades of objects. While generating highly realistic object interaction remains challenging, WorldGym faithfully emulates robot motions and offers a practical starting point for safe and reproducible policy evaluation before deployment.

Jinbin Bai, Yu Lei, Hecong Wu et al.

This is not a typical survey of world models; it is a guide for those who want to build worlds. We do not aim to catalog every paper that has ever mentioned a ``world model". Instead, we follow one clear road: from early masked models that unified representation learning across modalities, to unified architectures that share a single paradigm, then to interactive generative models that close the action-perception loop, and finally to memory-augmented systems that sustain consistent worlds over time. We bypass loosely related branches to focus on the core: the generative heart, the interactive loop, and the memory system. We show that this is the most promising path towards true world models.

Andrii Zahorodnii

Developing effective world models is crucial for creating artificial agents that can reason about and navigate complex environments. In this paper, we investigate a deep supervision technique for encouraging the development of a world model in a network trained end-to-end to predict the next observation. While deep supervision has been widely applied for task-specific learning, our focus is on improving the world models. Using an experimental environment based on the Flappy Bird game, where the agent receives only LIDAR measurements as observations, we explore the effect of adding a linear probe component to the network's loss function. This additional term encourages the network to encode a subset of the true underlying world features into its hidden state. Our experiments demonstrate that this supervision technique improves both training and test performance, enhances training stability, and results in more easily decodable world features -- even for those world features which were not included in the training. Furthermore, we observe a reduced distribution drift in networks trained with the linear probe, particularly during high-variability phases of the game (flying between successive pipe encounters). Including the world features loss component roughly corresponded to doubling the model size, suggesting that the linear probe technique is particularly beneficial in compute-limited settings or when aiming to achieve the best performance with smaller models. These findings contribute to our understanding of how to develop more robust and sophisticated world models in artificial agents, paving the way for further advancements in this field.

Yifei Yuan, Anders Søgaard

Li et al. (2023) used the Othello board game as a test case for the ability of GPT-2 to induce world models, and were followed up by Nanda et al. (2023b). We briefly discuss the original experiments, expanding them to include more language models with more comprehensive probing. Specifically, we analyze sequences of Othello board states and train the model to predict the next move based on previous moves. We evaluate seven language models (GPT-2, T5, Bart, Flan-T5, Mistral, LLaMA-2, and Qwen2.5) on the Othello task and conclude that these models not only learn to play Othello, but also induce the Othello board layout. We find that all models achieve up to 99% accuracy in unsupervised grounding and exhibit high similarity in the board features they learned. This provides considerably stronger evidence for the Othello World Model Hypothesis than previous works.

Jingtong Yue, Ziqi Huang, Zhaoxi Chen et al.

The landscape of video generation is shifting, from a focus on generating visually appealing clips to building virtual environments that support interaction and maintain physical plausibility. These developments point toward the emergence of video foundation models that function not only as visual generators but also as implicit world models, models that simulate the physical dynamics, agent-environment interactions, and task planning that govern real or imagined worlds. This survey provides a systematic overview of this evolution, conceptualizing modern video foundation models as the combination of two core components: an implicit world model and a video renderer. The world model encodes structured knowledge about the world, including physical laws, interaction dynamics, and agent behavior. It serves as a latent simulation engine that enables coherent visual reasoning, long-term temporal consistency, and goal-driven planning. The video renderer transforms this latent simulation into realistic visual observations, effectively producing videos as a "window" into the simulated world. We trace the progression of video generation through four generations, in which the core capabilities advance step by step, ultimately culminating in a world model, built upon a video generation model, that embodies intrinsic physical plausibility, real-time multimodal interaction, and planning capabilities spanning multiple spatiotemporal scales. For each generation, we define its core characteristics, highlight representative works, and examine their application domains such as robotics, autonomous driving, and interactive gaming. Finally, we discuss open challenges and design principles for next-generation world models, including the role of agent intelligence in shaping and evaluating these systems. An up-to-date list of related works is maintained at this link.

Jichen Feng, Yifan Zhang, Chenggong Zhang et al.

Language agents increasingly require persistent worlds in which they can act, remember, and learn. Existing approaches sit at two extremes: conventional web frameworks provide reliable but fixed contexts backed by databases, while fully generative world models aim for unlimited environments at the expense of controllability and practical engineering. In this work, we introduce the Web World Model (WWM), a middle ground where world state and ``physics'' are implemented in ordinary web code to ensure logical consistency, while large language models generate context, narratives, and high-level decisions on top of this structured latent state. We build a suite of WWMs on a realistic web stack, including an infinite travel atlas grounded in real geography, fictional galaxy explorers, web-scale encyclopedic and narrative worlds, and simulation- and game-like environments. Across these systems, we identify practical design principles for WWMs: separating code-defined rules from model-driven imagination, representing latent state as typed web interfaces, and utilizing deterministic generation to achieve unlimited but structured exploration. Our results suggest that web stacks themselves can serve as a scalable substrate for world models, enabling controllable yet open-ended environments. Project Page: https://github.com/Princeton-AI2-Lab/Web-World-Models.

Kazi Abrab Hossain, Jannatul Somiya Mahmud, Maria Hossain Tuli et al.

While recent developments in large language models have improved bias detection and classification, sensitive subjects like religion still present challenges because even minor errors can result in severe misunderstandings. In particular, multilingual models often misrepresent religions and have difficulties being accurate in religious contexts. To address this, we introduce BRAND: Bilingual Religious Accountable Norm Dataset, which focuses on the four main religions of South Asia: Buddhism, Christianity, Hinduism, and Islam, containing over 2,400 entries, and we used three different types of prompts in both English and Bengali. Our results indicate that models perform better in English than in Bengali and consistently display bias toward Islam, even when answering religion-neutral questions. These findings highlight persistent bias in multilingual models when similar questions are asked in different languages. We further connect our findings to the broader issues in HCI regarding religion and spirituality.

Kevin Schilbrack

Filip Rasmussen (2024) argues that the discursive study of religion is misunderstood when one assumes that it focuses only on discourse, ignoring material entities and forces. A discursive approach, he proposes, need not deny the existence or the effects of the material world, and so it is not in conflict with, for example, a critical realist approach to social theory that seeks to explain social behavior in terms of material mechanisms. Rasmussen’s synthesizing position gives us an opportunity to consider the relationship between the apparently rival theories of the discursive approach and critical realism – and, in particular, the relationship between discourse and the material realities in the world that do not depend on discourse for their existence or powers. My view is that Rasmussen is right and that a discursive approach combined with critical realism gives us the best account of forms of life, like religions, that combine discursive and nondiscursive elements. This paper therefore argues for the coherence of a realist discursive study of religion.

G. N. Shavalieva

This article analyzes the norms of behavior in the Russian public service and Islam. A comparative and structural study of the behaviors typical of public officials and Muslims was carried out. It was proposed to revise the legal provisions on international and foreign economic relations and personal qualities. The results obtained show that public officials can adhere to any faith (Islam, Christianity, Buddhism, etc.), as all religions promote fundamental human values and encourage behaviors that are advantageous for society. It was found that the social norms of behavior are universal regardless of legal system, legal status, or social affiliation. All citizens, whether in public service or the Islamic community, must follow these norms because they aim to uphold justice and equality. The importance of fostering cooperation between Russia, through the Republic of Tatarstan, and the Muslim world was emphasized.

William Sultmann, Janeen Lamb, Peter Ivers et al.

This paper reports on one part of a larger longitudinal empirical study (2021–2023) that responds to the call for Religious Education (RE) to address religious plurality in the context of senior Catholic schooling within an Australian Archdiocese where students represent multiple faith traditions or no traditions. The research focuses on the level of satisfaction by students across Topics, Pedagogies, and Outcomes within a new and innovative senior school curriculum, Religion Meaning and Life (RML) based on national RE guidelines. Participants included 276 students across 17 schools who completed an online survey with 32 of these students participating in focus group interviews. Data analysis of quantitative data was both descriptive and inferential, and qualitative data were analysed using Interpretative Phenomenological Analysis (IPA). Topics of most interest were Ethics and Other World Religions; pedagogies entailing dialogue and use of media and technologies were rated highly; and learning outcomes entailed awareness of school mission, the religious dimension of the school, and pastoral care. Inferential statistical analyses confirm four core topics, pedagogies, and outcomes as significant to levels of satisfaction and in combination accounted for 42% of the variance of satisfaction with RML. Theoretical propositions for what matters most in senior secondary RE were advanced through four integrating principles (educational, formative, social, communitarian) and practice implications that preference Catholic tradition, and reference religious plurality.

Esther-Maria Guggenmos

This article is a revised version of the inaugural lecture delivered on 5 October2023, on the occasion of the author's appointment as Professor of History of Religions at Lund University. It opens by depicting fundamental changes in the study of the history of religions in the twentieth century, followed by biographical notes, including her research on lay Buddhism in urban Taiwan, the emphasis on sensual dimensions of religious practice and the aesthetics of religion, and international academic networking in the analysis of practices of prognostication between Asia and Europe. Three areas are outlined that are central to the author's current research. It is pointed out that a focus on religion in contemporary society certainly includes a healthy awareness of current developments in the politics of religion, particularly in East Asia. In addition, the article addresses two fields of research that the author is currently engaged in: (1) The emergence of "Life Education" as a school subject in Greater China and the pedagogical shift that goes along with it. Particularly in Taiwan, this new subject is tailored to create a space for juveniles to develop self-reflection and life orientation in a success-oriented society while a new trust in religious organizations leads to the organizations' active engagement in these developments. The author is especially interested in how the transforming relationship between religion and public education gains special relevance in a comparative perspective between Asia and Europe. (2) Religious change in East Asia is evident in Buddhist ritual practices that are impacted by a consumer society that moulds emotionally profound experiences into marketable and distinct units that Eva Illouz has termed "emodities". Religious practices are subject to change in our contemporary world as they are reshaped by a growing global digitalized consumer culture. Tracing these changes leads to a deeper understanding of the underlying forces that distinctly reshape contemporary religious life.