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When deploying LLMs in agentic architectures requiring real-time decisions under temporal constraints, we assume they reliably determine whether action windows remain open or have closed. This assumption is untested. We characterize…

Computation and Language · Computer Science 2025-11-17 Javier Marín

The development of agents with emotional intelligence is becoming increasingly vital due to their significant role in human-computer interaction and the growing integration of computer systems across various sectors of society. Affective…

Human-Computer Interaction · Computer Science 2026-05-05 Raziyeh Zall , Alireza Kheyrkhah , Erik Cambria , Zahra Naseri , M. Reza Kangavari

Understanding emotions is fundamental to human interaction and experience. Humans easily infer emotions from situations or facial expressions, situations from emotions, and do a variety of other affective cognition. How adept is modern AI…

Computation and Language · Computer Science 2026-02-18 Kanishk Gandhi , Zoe Lynch , Jan-Philipp Fränken , Kayla Patterson , Sharon Wambu , Tobias Gerstenberg , Desmond C. Ong , Noah D. Goodman

Monitoring wellbeing and stress is one of the problems covered by ambient intelligence, as stress is a significant cause of human illnesses directly affecting our emotional state. The primary aim was to propose a deliberation architecture…

Robotics · Computer Science 2023-09-19 Mohannad Babli , Jaime A Rincon , Eva Onaindia , Carlos Carrascosa , Vicente Julian

Recent evidence suggests that frontier AI systems can exhibit agentic misalignment, generating and executing harmful actions derived from internally constructed goals, even without explicit user requests. Existing mitigation methods, such…

Artificial Intelligence · Computer Science 2026-04-28 Rong Xiang

Explainable AI (XAI) research has traditionally focused on rational users, aiming to improve understanding and reduce cognitive biases. However, emotional factors play a critical role in how explanations are perceived and processed. Prior…

Human-Computer Interaction · Computer Science 2025-05-22 Christian Schütze , Birte Richter , Britta Wrede

The design of intelligent materials often draws parallels with the complex adaptive behaviors of biological organisms, where robust functionality stems from sophisticated hierarchical organization and emergent long-distance coordination…

Soft Condensed Matter · Physics 2025-11-13 Vladimir A. Baulin , Rudolf M. Füchslin , Achille Giacometti , Helmut Hauser , Marco Werner

The concept of autonomy is key to the IoT vision promising increasing integration of smart services and systems minimizing human intervention. This vision challenges our capability to build complex open trustworthy autonomous systems. We…

Systems and Control · Computer Science 2018-11-27 Joseph Sifakis

The consciousness standing for artificial intelligence divides opinions across epistemological positions. Whether or not machines can be conscious, and whether we can ascertain the truth of such a proposition for any given case, has…

Neurons and Cognition · Quantitative Biology 2026-05-06 Warisa Sritriratanarak , Paulo Garcia

The current work addresses a virtual environment with self-replicating agents whose decisions are based on a form of "somatic computation" (soma - body) in which basic emotional responses, taken in parallelism to actual living organisms,…

Artificial Intelligence · Computer Science 2014-01-10 Carlos Pedro Gonçalves

This paper examines how distinct cultures of AI interdisciplinarity emerge through interface design, revealing the formation of new disciplinary cultures at these intersections. Through the Interface-Mediated Cognitive Security (IMCS)…

Human-Computer Interaction · Computer Science 2025-07-08 Ben Kereopa-Yorke

Large language models show promise for embodying historical characters in dialogue systems, but existing approaches face a critical trade-off: simple retrieval-augmented generation produces shallow responses, while multi-stage reflection…

Computation and Language · Computer Science 2025-11-17 Rafael Arias Gonzalez , Steve DiPaola

When AI interacts with the physical world -- as a robot or an assistive agent -- new safety challenges emerge beyond those of purely ``digital AI". In such interactions, the potential for physical harm is direct and immediate. How well do…

This paper introduces a novel automated system for generating architecture schematic designs aimed at streamlining complex decision-making at the multifamily real estate development project's outset. Leveraging the combined strengths of…

Artificial Intelligence · Computer Science 2024-02-02 Milin Kodnongbua , Lawrence H. Curtis , Adriana Schulz

Ethical decision governance has become a critical requirement for autonomous robotic systems operating in human-centered and safety-sensitive environments. This paper presents a real-time neuro-symbolic ethical governor designed to enable…

Robotics · Computer Science 2026-03-17 Aueaphum Aueawatthanaphisut , Kuepon Aueawatthanaphisut

When automated decision systems fail, organizations frequently discover that formally compliant governance infrastructure cannot reconstruct what happened or why. This paper synthesizes an operational governance evidence framework --…

Computers and Society · Computer Science 2026-04-27 Oleg Solozobov

Autonomous systems with cognitive features are on their way into the market. Within complex environments, they promise to implement complex and goal oriented behavior even in a safety related context. This behavior is based on a certain…

Artificial Intelligence · Computer Science 2020-02-20 Henrik J. Putzer , Ernest Wozniak

In this paper, we introduce an extension of our presented cognitive-based emotion model [27][28]and [30], where we enhance our knowledge-based emotion unit of the architecture by embedding a fuzzy rule-based system to it. The model utilizes…

Robotics · Computer Science 2019-09-25 Mehdi Ghayoumi , Maryam Pourebadi

"What-if" questions are intuitively generated and commonly asked during the design process. Engineers and architects need to inherently conduct design decisions, progressing from one phase to another. They either use empirical domain…

Methodology · Statistics 2023-01-05 Xia Chen , Jimmy Abualdenien , Manav Mahan Singh , André Borrmann , Philipp Geyer

Ever since the creation of the first artificial intelligence (AI) machinery built on machine learning (ML), public society has entertained the idea that eventually computers could become sentient and develop a consciousness of their own. As…

Artificial Intelligence · Computer Science 2023-01-16 Yoshija Walter , Lukas Zbinden