.- 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.
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