Cover Image

Consensus in Motion: A Case of Dynamic Rationality of Sequential Learning in Probability Aggregation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gordienko, Polina, Jansen, Christoph, Augustin, Thomas, Rechenauer, Martin
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Statistical Case Against Empirical Human-AI Alignment
by: Rodemann, Julian, et al.
Published: (2025)

How Hard is it to Rig a Benchmark? A Social Choice Analysis of Leaderboard Robustness
by: Gordienko, Polina, et al.
Published: (2026)

Probably Approximately Consensus: On the Learning Theory of Finding Common Ground
by: Blair, Carter, et al.
Published: (2026)

Beyond Arrow: From Impossibility to Possibilities in Multi-Criteria Benchmarking
by: Gordienko, Polina, et al.
Published: (2026)

Overhang Tower: Resource-Rational Adaptation in Sequential Physical Planning
by: Shen, Ruihong, et al.
Published: (2026)

Sequential Manipulation Against Rank Aggregation: Theory and Algorithm
by: Ma, Ke, et al.
Published: (2024)

Optimize Wider, Not Deeper: Consensus Aggregation for Policy Optimization
by: Su, Zelal, et al.
Published: (2026)

Roundtable Policy: Confidence-Weighted-Consensus Aggregation Improves Multi-Agent-System Reasoning
by: Yao, Yu, et al.
Published: (2025)

Towards Foundation Models for Consensus Rank Aggregation
by: Jin, Yijun, et al.
Published: (2026)

Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
by: Ebihara, Akinori F., et al.
Published: (2025)

Relation Learning and Aggregate-attention for Multi-person Motion Prediction
by: Qu, Kehua, et al.
Published: (2024)

Adaptive Consensus Gradients Aggregation for Scaled Distributed Training
by: Choukroun, Yoni, et al.
Published: (2024)

The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation
by: Wang, Lei, et al.
Published: (2024)

RationAnomaly: Log Anomaly Detection with Rationality via Chain-of-Thought and Reinforcement Learning
by: Xu, Song, et al.
Published: (2025)

ConSol: Sequential Probability Ratio Testing to Find Consistent LLM Reasoning Paths Efficiently
by: Lee, Jaeyeon, et al.
Published: (2025)

Uncertainty-Guided Latent Diagnostic Trajectory Learning for Sequential Clinical Diagnosis
by: Shen, Xuyang, et al.
Published: (2026)

Hierarchical Adaptive Consensus Network: A Dynamic Framework for Scalable Consensus in Collaborative Multi-Agent AI Systems
by: Shit, Rathin Chandra, et al.
Published: (2025)

Estimating Probabilities of Causation with Machine Learning Models
by: Wang, Shuai, et al.
Published: (2025)

Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs
by: Bovy, Eline M., et al.
Published: (2024)

Beyond ESG Scores: Learning Dynamic Constraints for Sequential Portfolio Optimization
by: Li, Xin, et al.
Published: (2026)

Rationality Check! Benchmarking the Rationality of Large Language Models
by: Zhou, Zhilun, et al.
Published: (2025)

Towards Explainable Sequential Learning
by: Bergami, Giacomo, et al.
Published: (2025)

Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics
by: Amaya-Corredor, Santiago, et al.
Published: (2026)

Can Machines Learn the True Probabilities?
by: Kim, Jinsook
Published: (2024)

In-Context Learning Strategies Emerge Rationally
by: Wurgaft, Daniel, et al.
Published: (2025)

Sequence Variables: A Constraint Programming Computational Domain for Routing and Sequencing
by: Delecluse, Augustin, et al.
Published: (2025)

Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding
by: Zhang, Ruipeng, et al.
Published: (2022)

Learning Lifted STRIPS Models from Action Traces Alone: A Simple, General, and Scalable Solution
by: Gösgens, Jonas, et al.
Published: (2024)

Robust Probabilistic Shielding for Safe Offline Reinforcement Learning
by: Galesloot, Maris F. L., et al.
Published: (2026)

Incoherent Probability Judgments in Large Language Models
by: Zhu, Jian-Qiao, et al.
Published: (2024)

Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors
by: Schmidt, Finn, et al.
Published: (2024)

Finite-State Controllers for (Hidden-Model) POMDPs using Deep Reinforcement Learning
by: Hudák, David, et al.
Published: (2026)

Learning Probabilities of Causation with Mask-Augmented Data
by: Wang, Shuai, et al.
Published: (2025)

Do Agents Think Deeper? A Mechanistic Investigation of Layer-Wise Dynamics in Sequential Planning
by: Cui, Zhenyu, et al.
Published: (2026)

Statistical Properties of the King Wen Sequence: An Anti-Habituation Structure That Does Not Improve Neural Network Training
by: Chan, Augustin
Published: (2026)

Refining Gelfond Rationality Principle: Towards More Comprehensive Foundational Principles for Answer Set Semantics
by: Shen, Yi-Dong, et al.
Published: (2025)

KellyBench: A Benchmark for Long-Horizon Sequential Decision Making
by: Grady, Thomas, et al.
Published: (2026)

One Rank at a Time: Cascading Error Dynamics in Sequential Learning
by: Vandchali, Mahtab Alizadeh, et al.
Published: (2025)

CP-Model-Zoo: A Natural Language Query System for Constraint Programming Models
by: Crespin, Augustin, et al.
Published: (2025)

When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives
by: Hu, Yebowen, et al.
Published: (2024)