Titlebook: Agents and Artificial Intelligence; 14th International C Ana Paula Rocha,Luc Steels,Jaap van den Herik Conference proceedings 2022 The Edit

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0302-9743 lligence, ICAART 2022, which took place virtually during?February 3–5, 2022.?The conference was originally planned to take place in Vienna, Austria, but had to change to an online format due to the COVID-19 pandemic..The 9 full papers included in this book were carefully reviewed and selected from 3

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Conference proceedings 2022change to an online format due to the COVID-19 pandemic..The 9 full papers included in this book were carefully reviewed and selected from 302 submissions. They were organized in topical sections as follows: agents; artificial intelligence..

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Efficient Visual Sign Assignment for?Crowd Evacuation Guidance Considering Risks and?Multiple Object The efficient arrangement of signage on the premises is crucial for the optimal use of these systems; however, to determine the optimal assignment of visual signs is challenging because of several factors, such as complex crowd behaviors, multiple conflicting objectives in evacuations, randomness,

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Negotiation Protocol with Learned Handover of Important Tasks for Planned Suspensions in Multi-agentrmance degradation due to planned suspension. In recent years, thanks to improvements in the performance of computers and the spread of technologies such as AI and IoT, systems with multiple agents such as autonomous robots or self-driving machines have been widely adopted to perform tasks on behalf

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Comparing Beta-VAE to?WGAN-GP for?Time Series Augmentation to?Improve Classification Performanceels learn characteristics to generate synthetic (i.e. augmented) data, with the goal of increasing the diversity in datasets. A comparison is presented between Beta-VAE and WGAN-GP as ResNet-18 based generative time series models. The proposed generative models were tested on benchmark datasets to o

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Safe Policy Improvement Approaches and?Their Limitations policy with a high probability. We classify various SPI approaches from the literature into two groups, based on how they utilize the uncertainty of state-action pairs. Focusing on the Soft-SPIBB (Safe Policy Improvement with Soft Baseline Bootstrapping) algorithms, we show that their claim of bein

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