Workshop-Paper

Thinking Faster and Slower: An Agent’s Cognitive Repertoire
This work examines the limitations of artificial intelligence inspired by dual-process models—those that sharply divide cognition into …
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Who Benefits from AI Explanations? Towards Accessible and Interpretable Systems
As AI systems are increasingly deployed to support decision-making in critical domains, explainability has become a means to enhance …
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Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs
This paper investigates how prompt engineering techniques impact both accuracy and confidence elicitation in Large Language Models …
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Why Was I Sanctioned?
This paper investigates how perspective-taking shapes the formation and validation of normative expectations. It explores how adopting …
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Adding Reflective Governance to LLMs
With the rapid advancement of artificial intelligence (AI) systems and large language models (LLMs), these technologies are …
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A Socio-Technical Perspective on Fostering Sustainable Community Development via Social Capital and Social Cohesion
This paper explores the role of social capital and social cohesion in sustainable community development. It exam-ines how …
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Online Learning of Temporal Dependencies for the Sustainable Foraging Problem
The sustainable foraging problem is a dynamic environment testbed for exploring the forms of agent cognition in dealing with social …
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Discovering Trade-offs in Fairness and Accuracy: A Multi-Objective Approach
In recent years, there has been a shift from focusing exclusively on the accuracy of machine learning systems to a more holistic and …
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The Sustainable Foraging Problem
Cooperation has been widely studied in multiagent foraging tasks. However, the consequences of agent-environment interactions in the …
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Overcoming Dynamicity with Plasticity: Neuromodulation for Lifelike Systems
Natural beings are often situated in dynamic and unpredictable environments, and have evolved to use mechanisms such as neuromodulation …
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