Cover Image

On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vasileiou, Stylianos Loukas, Yeoh, William, Previti, Alessandro, Son, Tran Cao
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Human-Aware Belief Revision: A Cognitively Inspired Framework for Explanation-Guided Revision of Human Models
by: Vasileiou, Stylianos Loukas, et al.
Published: (2024)

TRACE-CS: A Hybrid Logic-LLM System for Explainable Course Scheduling
by: Vasileiou, Stylianos Loukas, et al.
Published: (2024)

A Methodology for Incompleteness-Tolerant and Modular Gradual Semantics for Argumentative Statement Graphs
by: Rago, Antonio, et al.
Published: (2024)

Approximating Human Models During Argumentation-based Dialogues
by: Tang, Yinxu, et al.
Published: (2024)

Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces
by: Tang, Yinxu, et al.
Published: (2025)

Dialectical Reconciliation via Structured Argumentative Dialogues
by: Vasileiou, Stylianos Loukas, et al.
Published: (2023)

Argumentative Human-AI Decision-Making: Toward AI Agents That Reason With Us, Not For Us
by: Vasileiou, Stylianos Loukas, et al.
Published: (2026)

How Do People Revise Inconsistent Beliefs? Examining Belief Revision in Humans with User Studies
by: Vasileiou, Stylianos Loukas, et al.
Published: (2025)

Explainable Distributed Constraint Optimization Problems
by: Rachmut, Ben, et al.
Published: (2025)

Predicting Customer Goals in Financial Institution Services: A Data-Driven LSTM Approach
by: Estornell, Andrew, et al.
Published: (2024)

Human-Modeling in Sequential Decision-Making: An Analysis through the Lens of Human-Aware AI
by: Tulli, Silvia, et al.
Published: (2024)

Inferring Implicit Goals Across Differing Task Models
by: Tulli, Silvia, et al.
Published: (2025)

xDNN(ASP): Explanation Generation System for Deep Neural Networks powered by Answer Set Programming
by: Trieu, Ly Ly, et al.
Published: (2026)

A General Incentives-Based Framework for Fairness in Multi-agent Resource Allocation
by: Kumar, Ashwin, et al.
Published: (2025)

Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations
by: Marzari, Luca, et al.
Published: (2024)

Probabilistic Explanations for Linear Models
by: Subercaseaux, Bernardo, et al.
Published: (2024)

A Study of Belief Revision Postulates in Multi-Agent Systems (Extended Version)
by: Thielscher, Michael, et al.
Published: (2026)

Reconciling Consistency-Based Diagnosis with Actual-Causality-Based Explanations
by: Bertossi, Leopoldo
Published: (2026)

On Generating Explanations for Reinforcement Learning Policies: An Empirical Study
by: Yuasa, Mikihisa, et al.
Published: (2023)

GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks
by: Wang, Xiaoqi, et al.
Published: (2022)

Locally-Minimal Probabilistic Explanations
by: Izza, Yacine, et al.
Published: (2023)

Verifying Relational Explanations: A Probabilistic Approach
by: Magar, Abisha Thapa, et al.
Published: (2024)

Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model Change
by: Stępka, Ignacy, et al.
Published: (2024)

An LLM + ASP Workflow for Joint Entity-Relation Extraction
by: Tran, Trang, et al.
Published: (2025)

Explaining Explanations in Probabilistic Logic Programming
by: Vidal, Germán
Published: (2024)

Protecting Language Models Against Unauthorized Distillation through Trace Rewriting
by: Ma, Xinhang, et al.
Published: (2026)

Towards Probabilistic Planning of Explanations for Robot Navigation
by: Halilovic, Amar, et al.
Published: (2024)

Past-Discounting is Key for Learning Markovian Fairness with Long Horizons
by: Kumar, Ashwin, et al.
Published: (2025)

Survey on Generalization Theory for Graph Neural Networks
by: Vasileiou, Antonis, et al.
Published: (2025)

Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems
by: Zhang, Hanyu, et al.
Published: (2024)

Scenarios and Approaches for Situated Natural Language Explanations
by: Qiu, Pengshuo, et al.
Published: (2024)

Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model
by: Russo, Fabio Michele, et al.
Published: (2025)

SLogic: Subgraph-Informed Logical Rule Learning for Knowledge Graph Completion
by: Le, Trung Hoang, et al.
Published: (2025)

UniRel: Relation-Centric Knowledge Graph Question Answering with RL-Tuned LLM Reasoning
by: Tang, Yinxu, et al.
Published: (2025)

Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations
by: Doumanoglou, Alexandros, et al.
Published: (2023)

Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology
by: Tran, Son Quoc, et al.
Published: (2024)

Reconciling Model Multiplicity for Downstream Decision Making
by: Du, Ally Yalei, et al.
Published: (2024)

Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models
by: Arya, Shivvrat, et al.
Published: (2024)

Goal Recognition Design for General Behavioral Agents using Machine Learning
by: Kasumba, Robert, et al.
Published: (2024)

Latency-Aware 2-Opt Monotonic Local Search for Distributed Constraint Optimization
by: Rachmut, Ben, et al.
Published: (2025)