All pages tagged with eXplainable AI

• Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques
• EXTRAAMAS 2022
• xAI 2023
• Not just for humans: Explanation for agent-to-agent communication
• Expectation: Personalized Explainable Artificial Intelligence for Decentralized Agents with Heterogeneous Knowledge
• XAI.it 2022
• Preface
• Not just for humans: Explanation for agent-to-agent communication
• XAI.it 2023
• An Abstract Framework for Agent-Based Explanations in AI
• Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments
• An Abstract Framework for Agent-Based Explanations in AI
• xAI 2024
• Towards Explainable Visionary Agents: License to Dare and Imagine
• Symbolic Knowledge Extraction Algorithms Analysis
• Explanation in artificial intelligence: Insights from the social sciences
• EXTRAAMAS 2020
• On the integration of symbolic and sub-symbolic techniques for XAI: A survey
• eXplainable Artificial Intelligence (XAI): A Gentle Introduction
• Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm
• Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents
• Argumentation and Logic Programming for Explainable and Ethical AI
• Abduction-Based Explanations for ML Models
• Explainable Clustering with CREAM
• eXplainable Artificial Intelligence (XAI): A Gentle Introduction
• Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score
• Argumentation and Logic Programming for Explainable and Ethical AI
• XAI.it 2021
• From Large Language Models to Small Logic Programs: Building Global Explanations from Disagreeing Local Post-hoc Explainers
• On the role of abductive reasoning in semantic image segmentation
• Knowledge injection of Datalog rules via Neural Network Structuring with KINS
• Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors
• Interpretable Narrative Explanation for ML Predictors with LP: A Case Study for XAI
• Symbolic Knowledge Extraction for Explainable Nutritional Recommenders
• XAI@JAAMAS
• Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors
• On the Integration of Symbolic and Sub-symbolic – Explaining by Design
• Injecting (Micro)Intelligence in the IoT: Logic-based Approaches for (M)MAS
• EXTRAAMAS 2023
• Explainability through argumentation in logic programming
• Neuro-symbolic Computation for XAI: Towards a Unified Model
• Interpretable Prediction of Galactic Cosmic-Ray Short-Term Variations with Artificial Neural Networks
• Neuro-symbolic Computation for XAI: Towards a Unified Model
• Explainable Clustering with CREAM
• LPaaS as Micro-intelligence: Enhancing IoT with Symbolic Reasoning
• Agent-Based Explanations in AI: Towards an Abstract Framework
• Interpretable Narrative Explanation for ML Predictors with LP: A Case Study for XAI
• Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score
• Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
• Explainable Pervasive Intelligence with Self-explaining Agents
• ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation
• Position Paper: On the Role of Abductive Reasoning in Semantic Image Segmentation
• Agent-Based Explanations in AI: Towards an Abstract Framework
• Explainable and Ethical AI: A Perspective on Argumentation and Logic Programming
• Towards XMAS: eXplainability through Multi-Agent Systems
• On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction
• ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation
• Symbolic Transfer Learning through Knowledge Manipulation Methods