Hasil untuk "cs.CY"

Egil Diau

Prevailing accounts in both multi-agent AI and the social sciences explain social structure through top-down abstractions-such as institutions, norms, or trust-yet lack simulateable models of how such structures emerge from individual behavior. Ethnographic and archaeological evidence suggests that reciprocity served as the foundational mechanism of early human societies, enabling economic circulation, social cohesion, and interpersonal obligation long before the rise of formal institutions. Modern financial systems such as credit and currency can likewise be viewed as scalable extensions of reciprocity, formalizing exchange across time and anonymity. Building on this insight, we argue that reciprocity is not merely a local or primitive exchange heuristic, but the scalable substrate from which large-scale social structures can emerge. We propose a three-stage framework to model this emergence: reciprocal dynamics at the individual level, norm stabilization through shared expectations, and the construction of durable institutional patterns. This approach offers a cognitively minimal, behaviorally grounded foundation for simulating how large-scale social systems can emerge from decentralized reciprocal interaction.

Tapio Pitkäranta, Eero Hyvönen

The history of Artificial Intelligence (AI) is a narrative of waves -- rising optimism followed by crashing disappointments. AI winters, such as the early 2000s, are often remembered as barren periods of innovation. This paper argues that such a perspective overlooks a crucial wave of AI that seems to be forgotten: the rise of the Semantic Web, which is based on knowledge representation, logic, and reasoning, and its interplay with intelligent Software Agents. Fast forward to today, and ChatGPT has reignited AI enthusiasm, built on deep learning and advanced neural models. However, before Large Language Models (LLMs) dominated the conversation, another ambitious vision emerged -- one where AI-driven Software Agents autonomously served Web users based on a structured, machine-interpretable Web. The Semantic Web aimed to transform the World Wide Web into an ecosystem where AI could reason, understand, and act. Between 2000 and 2010, this vision sparked a significant research boom, only to fade into obscurity as AI's mainstream narrative shifted elsewhere. Today, as LLMs edge toward autonomous execution, we revisit this overlooked wave. By analyzing its academic impact through bibliometric data, we highlight the Semantic Web's role in AI history and its untapped potential for modern Software Agent development. Recognizing this forgotten chapter not only deepens our understanding of AI's cyclical evolution but also offers key insights for integrating emerging technologies.

Ernesto Giralt Hernández

This article analyzes the impact of artificial intelligence (AI) on contemporary society and the importance of adopting an ethical approach to its development and implementation within organizations. It examines the technocritical perspective of some philosophers and researchers, who warn of the risks of excessive technologization that could undermine human autonomy. However, the article also acknowledges the active role that various actors, such as governments, academics, and civil society, can play in shaping the development of AI aligned with human and social values. A multidimensional approach is proposed that combines ethics with regulation, innovation, and education. It highlights the importance of developing detailed ethical frameworks, incorporating ethics into the training of professionals, conducting ethical impact audits, and encouraging the participation of stakeholders in the design of AI. In addition, four fundamental pillars are presented for the ethical implementation of AI in organizations: 1) Integrated values, 2) Trust and transparency, 3) Empowering human growth, and 4) Identifying strategic factors. These pillars encompass aspects such as alignment with the company's ethical identity, governance and accountability, human-centered design, continuous training, and adaptability to technological and market changes. The conclusion emphasizes that ethics must be the cornerstone of any organization's strategy that seeks to incorporate AI, establishing a solid framework that ensures that technology is developed and used in a way that respects and promotes human values.

Gian Alexandre Michaelsen, Renato P. dos Santos

Background: The integration of artificial intelligence (AI) into daily life, particularly through chatbots utilizing natural language processing (NLP), presents both revolutionary potential and unique challenges. This intended to investigate how different input forms impact ChatGPT, a leading language model by OpenAI, performance in understanding and executing complex, multi-intention tasks. Design: Employing a case study methodology supplemented by discourse analysis, the research analyzes ChatGPT's responses to inputs varying from natural language to pseudo-code engineering. The study specifically examines the model's proficiency across four categories: understanding of intentions, interpretability, completeness, and creativity. Setting and Participants: As a theoretical exploration of AI interaction, this study focuses on the analysis of structured and unstructured inputs processed by ChatGPT, without direct human participants. Data collection and analysis: The research utilizes synthetic case scenarios, including the organization of a "weekly meal plan" and a "shopping list," to assess ChatGPT's response to prompts in both natural language and pseudo-code engineering. The analysis is grounded in the identification of patterns, contradictions, and unique response elements across different input formats. Results: Findings reveal that pseudo-code engineering inputs significantly enhance the clarity and determinism of ChatGPT's responses, reducing ambiguity inherent in natural language. Enhanced natural language, structured through prompt engineering techniques, similarly improves the model's interpretability and creativity. Conclusions: The study underscores the potential of pseudo-code engineering in refining human-AI interaction and achieving more deterministic, concise, and direct outcomes, advocating for its broader application across disciplines requiring precise AI responses.

Robert Axelrod

De-escalation of a cyber conflict can be substantially more difficult than de-escalation of a conventional military conflict. This paper will first explain the reasons why de-escalation of a cyber conflict can be so difficult, and then present a list of suggestions about how to overcome these specific difficulties.

Geoffrey Goodell

This article addresses some of the most contentious issues related to privacy in electronic payment systems, particularly the current zeitgeist of proposed solutions for central bank digital currency.

Maria De-Arteaga, Tejumade Afonja, Amanda Coston

This is the proceedings of the 3rd ML4D workshop which was help in Vancouver, Canada on December 13, 2019 as part of the Neural Information Processing Systems conference.

Richard Hill

A practical guide for university academics who need to create learning materials that support flexible delivery methods. Examples from the Computer Science domain are used to illustrate innovative approaches to engaging students with online and blended teaching resources.

Orna Almogi, Lena Dankin, Nachum Dershowitz et al.

We describe the course of a hackathon dedicated to the development of linguistic tools for Tibetan Buddhist studies. Over a period of five days, a group of seventeen scholars, scientists, and students developed and compared algorithms for intertextual alignment and text classification, along with some basic language tools, including a stemmer and word segmenter.

Djibril Diarra, Martine Clouzot, Christophe Nicolle

This work applies knowledge engineering’s techniques to medieval illuminations. Inside it, an illumination is considered as a knowledge graph which was used by some elites in the Middle Ages to represent themselves as a social group and exhibit the events in their lives, and their cultural values. That graph is based on combinations of symbolic elements linked each to others with semantic relations. Those combinations were used to encode visual metaphors and influential messages whose interpretations are sometimes tricky for not experts. Our work aims to describe the meaning of those elements through logical modelling using ontologies. To achieve that, we construct logical reasoning rules and simulate them using artificial intelligence mechanisms. The goal is to facilitate the interpretation of illuminations and provide, in a future evolution of current social media, logical formalisation of new encoding and information transmission services.

Djibril Diarra, Martine Clouzot, Christophe Nicolle

This work applies knowledge engineering’s techniques to medieval illuminations. Inside it, an illumination is considered as a knowledge graph which was used by some elites in the Middle Ages to represent themselves as a social group and exhibit the events in their lives, and their cultural values. That graph is based on combinations of symbolic elements linked each to others with semantic relations. Those combinations were used to encode visual metaphors and influential messages whose interpretations are sometimes tricky for not experts. Our work aims to describe the meaning of those elements through logical modelling using ontologies. To achieve that, we construct logical reasoning rules and simulate them using artificial intelligence mechanisms. The goal is to facilitate the interpretation of illuminations and provide, in a future evolution of current social media, logical formalisation of new encoding and information transmission services.

Orna Almogi, Lena Dankin, Nachum Dershowitz et al.

We describe the course of a hackathon dedicated to the development of linguistic tools for Tibetan Buddhist studies. Over a period of five days, a group of seventeen scholars, scientists, and students developed and compared algorithms for intertextual alignment and text classification, along with some basic language tools, including a stemmer and word segmenter.

Ehud Shapiro

A contribution to a Globalcit debate entitled: Cloud Communities: The Dawn of Global Citizenship?

Philipp Meerkamp

These are the proceedings of the Data For Good Exchange 2017, which was held in New York, NY, on September 24th 2017.

Philipp Meerkamp

These are the proceedings of the Data For Good Exchange 2016, which was held in New York, NY, on September 26th 2016.

Matthew Roach

Lawyers should write in document markup language just like web developers, digital publishers, scientists, and almost everyone else

Teresa Gomez-Diaz

The main goal of this document is to help the research community to understand the basic concepts of software distribution: Free software, Open source software, licenses. This document also includes a procedure for research software and data dissemination.

Rodrigo Lopez-Pablos

By introducing elements of information mining to tax analysis, by means of data mining software and advanced computational concepts of artificial intelligence, the problem of tax evader's crime against public property has been addressed. Through an empirical approach from a hypothetical case of use, induction algorithms, neural networks and bayesian networks are applied to determine the feasibility of its heuristic application by the tax public administrator. Different strategies are explored to facilitate the work of local and regional federal tax inspectors, considering their limited computational capabilities, but equally effective for those social scientist committed to handcrafting tax research. ----- Apresentando a introdução de elementos de exploração de informações para análise fiscal, por meio de software de mineração de dados e conceitos avançados computacionais de inteligência artificial, foi abordado o problema do crime de sonegador fiscal contra o patrimônio público. Através de uma abordagem empírica a partir de um caso hipotético de uso, os algoritmos de indução, redes neurais e redes bayesianas são aplicados para determinar a viabilidade de sua aplicação heurística pelo administrador público tributário. Diferentes estratégias são exploradas para facilitar o trabalho dos inspectores tributários federais locais e regionais, tendo em conta as suas capacidades computacionais limitados, mas igualmente eficaz para aqueles cientista social comprometido com a investigação fiscal.

Ehirim Henry

Computerizing banking operation has a far-reaching consequences,both positively and negatively.But here,i have been able to deal with both effects and proffer solutions on the best way to go about computerizing banking operations.

Avdhesh Gupta

In this paper SOA model for business is presented. This is a survey paper. As the new technology evolve the new businesses use SOA framework.