Hasil untuk "Dramatic representation. The theater"

Arindam Jana, Amiya Mondal

Let $F$ be a non-archimedean local field of odd residual characteristic $p$. The depth of a smooth representation of ${\rm GL}_n(F)$ is an invariant of Local Langlands Correspondence (LLC). The analogous notion on the Galois side of LLC is known as the slope of a local Galois representation. The slope is well related to the Swan conductor for irreducible Galois representations, whereas its behavior is subtle for reducible Galois representations. In this article, we provide an explicit formula for the slope of the adjoint of a Carayol representation of the local Galois group.

Ha-Thanh Nguyen, Ken Satoh, Francesca Toni et al.

Reasoning is an essential component of human intelligence in that it plays a fundamental role in our ability to think critically, support responsible decisions, and solve challenging problems. Traditionally, AI has addressed reasoning in the context of logic-based representations of knowledge. However, the recent leap forward in natural language processing, with the emergence of language models based on transformers, is hinting at the possibility that these models exhibit reasoning abilities, particularly as they grow in size and are trained on more and more data. Still, despite ongoing discussions about what reasoning is in language models, it is still not easy to articulate to what extent these models are actually capable of reasoning. The goal of this workshop is to create a platform for researchers from different disciplines and/or AI perspectives to explore approaches and techniques with the aim to reconcile reasoning between language models using transformers and logic-based representations. The specific objectives include analysing the reasoning abilities of language models measured alongside KR methods, injecting KR-style reasoning abilities into language models (including by neuro-symbolic means), and formalising the kind of reasoning language models carry out. This exploration aims to uncover how language models can effectively integrate and leverage knowledge and reasoning with it, thus improving their application and utility in areas where precision and reliability are key requirements.

Stephen Richard Varey, Alessandro Di Stefano, The Anh Han

In this paper, we introduce KERAIA, a novel framework and software platform for symbolic knowledge engineering designed to address the persistent challenges of representing, reasoning with, and executing knowledge in dynamic, complex, and context-sensitive environments. The central research question that motivates this work is: How can unstructured, often tacit, human expertise be effectively transformed into computationally tractable algorithms that AI systems can efficiently utilise? KERAIA seeks to bridge this gap by building on foundational concepts such as Minsky's frame-based reasoning and K-lines, while introducing significant innovations. These include Clouds of Knowledge for dynamic aggregation, Dynamic Relations (DRels) for context-sensitive inheritance, explicit Lines of Thought (LoTs) for traceable reasoning, and Cloud Elaboration for adaptive knowledge transformation. This approach moves beyond the limitations of traditional, often static, knowledge representation paradigms. KERAIA is designed with Explainable AI (XAI) as a core principle, ensuring transparency and interpretability, particularly through the use of LoTs. The paper details the framework's architecture, the KSYNTH representation language, and the General Purpose Paradigm Builder (GPPB) to integrate diverse inference methods within a unified structure. We validate KERAIA's versatility, expressiveness, and practical applicability through detailed analysis of multiple case studies spanning naval warfare simulation, industrial diagnostics in water treatment plants, and strategic decision-making in the game of RISK. Furthermore, we provide a comparative analysis against established knowledge representation paradigms (including ontologies, rule-based systems, and knowledge graphs) and discuss the implementation aspects and computational considerations of the KERAIA platform.

Sazan Mahbub, Souvik Kundu, Eric P. Xing

Designing protein sequences that fold into a target 3-D structure, termed as the inverse folding problem, is central to protein engineering. However, it remains challenging due to the vast sequence space and the importance of local structural constraints. Existing deep learning approaches achieve strong recovery rates, however, lack explicit mechanisms to reuse fine-grained structure-sequence patterns conserved across natural proteins. To mitigate this, we present PRISM a multimodal retrieval-augmented generation framework for inverse folding. PRISM retrieves fine-grained representations of potential motifs from known proteins and integrates them with a hybrid self-cross attention decoder. PRISM is formulated as a latent-variable probabilistic model and implemented with an efficient approximation, combining theoretical grounding with practical scalability. Experiments across multiple benchmarks, including CATH-4.2, TS50, TS500, CAMEO 2022, and the PDB date split, demonstrate the fine-grained multimodal retrieval efficacy of PRISM in yielding SoTA perplexity and amino acid recovery, while also improving the foldability metrics (RMSD, TM-score, pLDDT).

Katharina Arms

The linear decomposition attack reveals a vulnerability in encryption algorithms operating within groups or monoids with excessively small representations. The representation gap, defined as the size of the smallest non-trivial representation, therefore serves as a metric to assess the security of these algorithms. This paper will demonstrate that the diagrammatic Motzkin monoids exhibit a large representation gap, positioning them as promising candidates for robust encryption algorithms.

Revista Presença

MAREK BOCHNIARZ, IZUMI YOSHIDA

Japanese animation and folklore in narratives about national identity This paper studies the activity of Japanese directors who decided to make film adaptations of the Momotaro story, a classic legend based on Japanese folklore and the most popular one in the modern period. This activity is studied within the framework of cultural politics. The works examined belong to the early period of Japanese animation and war propaganda films, as well as studio-based anime productions which were made in the postwar period.

Rossana Della Costa, Élcio Rossini

This article develops, identifies and presents two qualities to think about the objects used in creation processes in Performing Arts, in which we investigate body-object relations. We present the objects as docile or proposing and discuss their respective characteristics. Our methodology involved the selection and analysis of contemporary works in which we could examine principles relating to the physical characteristics of materials as well as the approaches adopted by the body in its relation to the object. This article is inspired by the Foucauldian notion of displacement applied to the consideration of other ways of thinking about the object beyond the so-called theater of objects or the understanding of the object as a scenic prop. In conclusion, we argue that recognizing these qualities of the object can contribute to expand the uses of the object in creation processes, including the production of specific objects for the Performing Arts.

Marina Pereira Cyrino

This article starts from an account of the process of commissioning, composing, and performing Mansoor Hosseini’s Casss...andra (2015), a solo work for flute collaboratively composed. By invoking the mythic figure of Cassandra, following her transformations through centuries of Western Art and her transformations through the researcher’s own body, this article invites the reader for possible ways of escaping the exotification of Cassandra as the mad sorceress, the female stranger. By weaving together artistic research, creative practices, and personal narrative, the entanglement of Cassandra, with Casss…andra, with the song of the flute, reframe and reclaim the auditory dimension of Cassandra’s gift.

Nicolas Libedinsky

There could be thousands of Introductions/Surveys of representation theory, given that it is an enormous field. This is just one of them, quite personal and informal. It has an increasing level of difficulty; the first part is intended for final year undergrads. We explain some basics of representation theory, notably Schur-Weyl duality and representations of the symmetric group. We then do the quantum version, introduce Kazhdan-Lusztig theory, quantum groups and their categorical versions. We then proceed to a survey of some recent advances in modular representation theory. We finish with twenty open problems and a song of despair.

Gabriele Klein

Using dance as an example, the text discusses the questions of what aesthetic criticism means and how it manifests itself. Drawing on philosophical and social science positions on critique (Foucault, Butler, Bourdieu), he develops a practical-theoretical view of the practice of critique in contemporary dance.

Soma Bandyopadhyay, Anish Datta, Arpan Pal

Getting a robust time-series clustering with best choice of distance measure and appropriate representation is always a challenge. We propose a novel mechanism to identify the clusters combining learned compact representation of time-series, Auto Encoded Compact Sequence (AECS) and hierarchical clustering approach. Proposed algorithm aims to address the large computing time issue of hierarchical clustering as learned latent representation AECS has a length much less than the original length of time-series and at the same time want to enhance its performance.Our algorithm exploits Recurrent Neural Network (RNN) based under complete Sequence to Sequence(seq2seq) autoencoder and agglomerative hierarchical clustering with a choice of best distance measure to recommend the best clustering. Our scheme selects the best distance measure and corresponding clustering for both univariate and multivariate time-series. We have experimented with real-world time-series from UCR and UCI archive taken from diverse application domains like health, smart-city, manufacturing etc. Experimental results show that proposed method not only produce close to benchmark results but also in some cases outperform the benchmark.

Vincenzo Sansone

Autobiographic text: Giacomo Verde was born in the province of  Naples in 1956 and gained a diploma in textile arts at the Art Institute of Florence. Since 1973 he has dedicated himself to the theatre and the arts as author, actor, musician, director. His video productions date back to 1983 and combine attention to "poor" media and materials and the theatrical tradition with an experimentalism that is both eclectic and critical of the new electronic technologies. He has invented "tele-tales" (tele-racconto) for children (performance that unites narration, micro-theatre and macro-video live), worked with prison inmates, animated 'Euclid', the interactive artificial puppet of Studio Azzurro, created "poor" and alternative games for using television intelligently, founded the SeStessiVideo production company, taught how to destroy television sets, written, polemicized, invented formulae and definitions. He defines himself as a "teknoartist" and he's engaged in interactive art.

Yana Meerzon

In this hybrid (essay/interview) article, Yana Meerzon analyzes the production Mahmoud & Niny, directed by Henri Jules Julien and presented at the Avignon Festival, July 14-22, 2019. Developed through a series of conversations and workshops with its major participants, Mahmoud El Haddad and Virginie Gabriel, this performance provides an urgent commentary on abuse of cultural and linguistic stereotypes in the situations of everyday intercultural encounters. Together with Mahmoud El Haddad, Meerzon examines how this experimental work turns theatrical subtitles into a powerful political weapon.

Vicki Ann Cremona

This article provides a general outline of theatre in Malta where the small size of the archipelago (316m2) makes it difficult to develop professional theatre. It evaluates the issues theatre faces when confronted by political constraints that affect cultural policies and outlooks. It looks at the growth of theatre education in Malta that has raised standards and demand for professionalization of theatre. Productions in English and Maltese are discussed, and the changes in attitude and the emergence of new authors are highlighted. The article also considers the disadvantage of the lack of proper theatre criticism and how this can contribute to raising standards and attendance.

Emília Costa

Crítica aos espectáculos Encontrar o Sol. Autor: Edward Albee. Encenação: Ricardo Neves‑Neves. Tradução: João Paulo Esteves da Silva. Direcção musical: João Paulo Esteves da Silva. Apoio vocal: João Henriques. Sonoplastia: Sérgio Delgado. Luz: Elduplo. Cenografia: Tiago Pinhal Costa. Figurinos: José António Tenente. Interpretação: Cucha Carvalheiro, Custódia Gallego, Luís Gaspar, Marques d’Arede, Romeu Costa, Rita Cruz, Tânia Alves e Tadeu Faustino. Produção: Teatro do Eléctrico, Theatro Circo e São Luiz Teatro Municipal. Local e data de estreia: Sala Luis Miguel Cintra do São Luiz Teatro Municipal, Lisboa, 17 de Fevereiro de 2017; Karl Valentin Kabarett. Autor: Karl Valentin. Encenação: Ricardo Neves‑ ‑Neves. Tradução: Almeida Faria, Jorge Silva Melo, Luíza Neto Jorge, Maria Adélia Silva Melo e Osório Mateus. Assistência de encenação: Rafael Gomes. Direcção musical: Rita Nunes. Apoio vocal: João Henriques. Orquestra: Francisco Andrade, Ivo Rodrigues, José Almeida, José Massarrão, Marcos Lazáro, Rita Nunes, Rui Pereira, Simon Wadsworth, Tomás Pimentel e Xavier Ribeiro. Cantor: Tiago Amado Gomes. Sonoplastia: Sérgio Delgado. Coreografia: Tiago Careto. Figurinos: Rafaela Mapril. Interpretação: Elsa Galvão, Fernando Gomes, Joana Campelo, José Leite, Márcia Cardoso, Rafael Gomes, Rita Cruz, Sílvia Figueiredo, Tadeu Faustino, Tânia Alves e Vítor Oliveira. Produção: Teatro do Eléctrico, Festival de Almada e Teatro da Trindade. Local e data de estreia: Palco Grande da Escola D. António da Costa, Festival de Almada, Almada, 10 de Julho de 2017.

Francesco Cotticelli

This essay presents some excerpts from the letters sent by Queen Maria Carolina to her daughter Maria Teresa, Empress of Austria, and now kept at the Haus-, Hof- und Staatsarchiv in Vienna, with special reference to the comments on music and theatre performances held in Naples. The Queen’s attitude towards theatrical life and practitioners reflects her inner feelings about the tragic events at the time of the Revolution and the first Restoration. Theatre serves as a metaphor, and a mirror to dramatic social changes (and even decadence).

Noah Giansiracusa, Jacob Manaker

We develop the rudiments of a finite-dimensional representation theory of groups over idempotent semifields by considering linear actions on tropical linear spaces. This can be considered a tropical representation theory, a characteristic one modular representation theory, or a matroidal representation theory---and we draw from all three perspectives. After some general properties and constructions, including a weak tropical analogue of Maschke's theorem, we turn to a study of the regular representation of a finite group and its tropicalization. For abelian groups we find an interesting interplay between elementary number theory and matroid theory---even cyclic groups are surprisingly rich---and we conclude with some possible first steps toward a tropical character theory.

Yang Zhong, Vladimir Li, Ryuzo Okada et al.

This paper presents an automatic network adaptation method that finds a ConvNet structure well-suited to a given target task, e.g., image classification, for efficiency as well as accuracy in transfer learning. We call the concept target-aware transfer learning. Given only small-scale labeled data, and starting from an ImageNet pre-trained network, we exploit a scheme of removing its potential redundancy for the target task through iterative operations of filter-wise pruning and network optimization. The basic motivation is that compact networks are on one hand more efficient and should also be more tolerant, being less complex, against the risk of overfitting which would hinder the generalization of learned representations in the context of transfer learning. Further, unlike existing methods involving network simplification, we also let the scheme identify redundant portions across the entire network, which automatically results in a network structure adapted to the task at hand. We achieve this with a few novel ideas: (i) cumulative sum of activation statistics for each layer, and (ii) a priority evaluation of pruning across multiple layers. Experimental results by the method on five datasets (Flower102, CUB200-2011, Dog120, MIT67, and Stanford40) show favorable accuracies over the related state-of-the-art techniques while enhancing the computational and storage efficiency of the transferred model.

Irene De Angelis

After an experimental period strongly influenced by Samuel Beckett, between the late 1980s and the early 1990s Marina Carr emerged with the «Midlands trilogy» The Mai (1994), Portia Coughlan (1996) and By the Bog of Cats (1998) as one of the most potent and talented Irish women dramatists, competing with celebrated male playwrights, such as Frank McGuinness, Brian Friel, Martin McDonagh, Dermot Bolger, Conor McPherson, Sebastian Barry, and Enda Walsh. This essay will shed light on the last play of the trilogy, By the Bog of Cats, tragedy of a «settled Traveller» which Patrick Lonergan has rightly defined as «Carr’s masterpiece».