3 papers
cs.AI2026
Information-Theoretic Measures in AI: A Practical Decision Framework
Nikolaos Al. Papadopoulos, Konstantinos E. Psannis
Information-theoretic (IT) measures are ubiquitous in artificial intelligence: entropy drives decision-tree splits and uncertainty quantification, cross-entropy is the default clas…
cs.MA2026
Temporal Fair Division in Multi-Agent Systems: From Precise Alternation Metrics to Scalable Coordination Proxies
Nikolaos Al. Papadopoulos, Ismael Tito Freire, Marti Sanchez-Fibla +1
Many intelligent computing and autonomous systems rely on multiple independent, often learning, agents repeatedly sharing a limited resource. Examples include autonomous robots acc…
cs.MA2026
The Coordination Gap: Multi-Agent Alternation Metrics for Temporal Fairness in Repeated Games
Nikolaos Al. Papadopoulos, Konstantinos Psannis, Ismael Tito Freire +2
Repeated multi-agent interactions require evaluation metrics that capture not only payoff distributions but also their temporal organization. Conventional outcome-based fairness me…