Description
This book constitutes the proceedings of the 17th International Conference on Agents and Artificial Intelligence, ICAART 2025, which took place in Porto, Portugal, during February 23 25, 2025.
The 52 full papers and 39 short papers presented in these two volumes were carefully reviewed and selected from 472 submissions.
The papers are organized in the following topical sections of relevant trends of current research on Agents and Artificial Intelligence, including: Machine Learning, Deep Learning, Multi-Agent Systems, Natural Language Processing, AI and Creativity, Intelligence and Cybersecurity,
Explainable AI, Industrial Applications of AI, Simulation and Agent Models and Architectures.
.- Agents.
.- Evaluating Current Tools as a Basis for an Event Processing Network Model.
.- A Planning Agent Architecture that Interacts with Legal and Ethical Checkers.
.- Programming the Trolley: Australians Take on Autonomous Vehicle Dilemmas.
.- The Role of Self-Exploration in Self-Adaptation for Cyber Resilience.
.- Contextual Network Model for Agent-Based Simulation: A Relational-Sociological Approach to Network Generation.
.- Multiagent DRL in Auctions: A Framework for Equilibrium Assessment.
.- Pre-Trained Models for RL Negotiation Agents: The Effect of Data Diversity.
.- CEMPAT: A Framework to Identify Colluding Agents in a Graph Network.
.- Evaluating Multimodal LLMs on CAPTCHAs with LLM Puzzler.
.- On Advancing Elliott Waves Technical Analysis with AI Agents.
.- A Retrieval Augmented Generation-Based Technique to Guide Firewall Configuration with Large Language Models.
.- Coordinated Online Exploration Algorithms: Human-Inspired Heuristics and Graph-Based Strategies.
.- Multi-Agent System Analysis Under Communication Influence: Practical Applications.
.- Design of Additional Control Rules on Bottom-Up and On-Demand Solver for Multiagent Pickup and Delivery Problems.
.- A Holistic Architecture for Monitoring and Optimization of Robust Multi-Agent Path Finding Plan Execution.
.- Driving Innovation with TRIZ Using LLM-Based Multi-Agent Systems.
.- In-Depth Analysis of the Behavior of Football Agents Trained via Inverse Reinforcement Learning with Relative Positional Information.
.- Narrative Memory in Machines: Multi-Agent Arc Extraction in Serialized TV.
.- Architectures for Robust Self-Organizing Energy Systems Under Information and Control Constraints.
.- Model Abstractions for Verification of Ethical Autonomous System.
.- Toward Equalized Costs Among Paths/Path-Components in Multiagent Pathfinding.
.- Artificial Intelligence.
.- Adaptive Attention Mechanisms in CNNs for Accurate Gaze Estimation from Visual Features.
.- Using Diffusion Models for Enhancing the Performance of Semi-Supervised Image Classifiers.
.- On the Prediction of Nonstationary Negative Binomial Distribution Based on Bayes Decision Theory.
.- Teaching CNNs Where to Look: A SIFT-Guided Attention Framework for Efficient LULC Classification.
.- SANA: Semantic-Aware Neural Architecture for Enhanced Medical Code Classification.
.- Detecting Fake Fiction.
.- Providing Justifications for Decisions of Black-Box Models: An Application in Machine Ethics.
.- Leveraging DINOv2 Embeddings for Joint Aggregate Characterization and Concrete Strength Prediction.
.- Obtaining Better Credit Scoring with Data Analysis and Pre-Processing Techniques.
.- Balancing Expectations and Ideals in MCDM: Practical Application of B-SPOTIS Method.
