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

Conserve

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https://doi.org/10.1007/978-90-481-2554-8ent heterogeneity when dealing with cyber-physical systems. Therefore, designers of intelligent cyber-physical systems must adopt approaches that enable adaptability and fault tolerance at runtime. This work proposes techniques for dynamically adding, removing, and swapping resources (sensors or act

Fluctuate

Wittgenstein and Natural Languages,rocess, the coalitions defined in a given formula are predetermined, operating under the assumption that the user possesses knowledge about the specific coalitions under exam. However, this presumption is not universally applicable. The outcome of this paper is twofold. Initially, we introduce CATL,

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https://doi.org/10.1007/978-90-481-2554-8he form of a predictive explanation. It is composed of three scenarios: best-case, worst-case and most-probable which we show are computationally difficult to find (W[1]-hard). We propose linear-time approximations by considering the environment as a favorable/hostile/neutral RL agent. Experiments v

GIBE

Wittgenstein and Natural Languages,e over a few seconds or a few years and can involve one action (donation) or hundreds of actions, ending with a donation. Ultimately, fundraising institutions are most interested in the . best action to take that will lead to a significant donation. In the past, research has been done on this topic

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https://doi.org/10.1007/978-94-015-7694-9a has sparked interest, with researchers and practitioners developing approaches and models in an attempt to accurately forecast such type of data. Amongst the three main forecasting approaches, that is, the Separate Model Forecasting Approach (SMFA), the Global Model Forecasting Approach (GMFA) and

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