Titlebook: Agents and Artificial Intelligence; 15th International C Ana Paula Rocha,Luc Steels,Jaap van den Herik Conference proceedings 2024 The Edit

平躺

Dealing with?the?Unpredictability of?Physical Resources in?Real-World Multi-agent Systems replacement, and the need for upgrade scenarios occur. Our approach was evaluated and tested in three different BDI frameworks, demonstrating that swapping resources at runtime is a promissory feature to guarantee the adaptability of intelligent cyber-physical systems.

審問(wèn),審訊

說(shuō)笑

Towards Improving Multivariate Time-Series Forecasting Using Weighted Linear Stackingecasting models, a multivariate variant of the N-BEATS model (M-N-BEATS) and a hybrid Transformer-N-BEATS (TRANS-BEATS) model, both for multivariate multi-step ahead time-series forecasting. The proposed models outperform their rivals and their forecasting performance is evaluated by multiple evalua

健壯

施加

gregarious

駁船

Weight Re-mapping for?Variational Quantum Algorithmsios. In our study, we employ seven distinct weight re-mapping functions to assess their impact on eight classification datasets, using variational classifiers as a representative example. Our results indicate that weight re-mapping can enhance the convergence speed of the VQC. We assess the efficacy

觀察

Effective Adaptive Strategy Selection Using Extended Fine-Tuning and?CNN-Based Surrogate Model in?Retion accuracy. Ablation studies in RBANs reveal the superiority of combining the fine-tuning approach with both policies over using fine-tuning alone or with just one policy. Ablation studies in independent negotiations show that applying either or both policies on the CSM also improves the CSM’s pe

Employee

arabesque

UTP: A Unified Term Presentation Tool for Clinical Textual Data Using Pattern-Matching Rules and?Dicviations, medical terms, negations, dates, and investigation values from the unstructured textual data. Then, it replaces the detected entities with their corresponding unified and normalized presentation based on pattern-matching rules that relies on the linguistic features, pattern-matching rules,