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Titlebook: Distributed Computing and Artificial Intelligence, 11th International Conference; Sigeru Omatu,Hugues Bersini,Edgardo Bucciarelli Conferen

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41#
發(fā)表于 2025-3-28 16:32:56 | 只看該作者
Multimodal Perspective on Ontologies Combining Problem in Production Management Systems,dapted to some special cases. In our opinion the multimodal approach can reduce cost of the ontologies combining problem. We recognize two multimodal-based approaches: Multimodality Theory and Multimodal Network. The first allows to find other instances (modalities) for current ontology. The second
42#
發(fā)表于 2025-3-28 19:54:47 | 只看該作者
Behavioral Macroeconomics and Agent-Based Macroeconomics,roposed by George Akerlof. Based on the 15 models surveyed in this paper, we find that most behavioral elements addressed by Akerlof have not been well incorporated into the ABMMs. The only element which has been successfully well applied is the decision heuristics (rule-of-thumb behavior). We discu
43#
發(fā)表于 2025-3-29 00:44:28 | 只看該作者
44#
發(fā)表于 2025-3-29 04:05:54 | 只看該作者
45#
發(fā)表于 2025-3-29 09:05:05 | 只看該作者
46#
發(fā)表于 2025-3-29 15:12:57 | 只看該作者
47#
發(fā)表于 2025-3-29 17:39:00 | 只看該作者
The Empirical Microstructure of Agent-Based Models: Recent Trends in the Interplay between ACE and nomics proved useful in providing insights on human subjects’ decision-making as well as microeconomic data to estimate artificial agents. Agent-based Computations Economics allows for observing the aggregate outcome of artificial agents’ interactions and for replicating experiments at a larger scal
48#
發(fā)表于 2025-3-29 23:42:59 | 只看該作者
Households Debt Behavior and Financial Instability: Towards an Agent-Based Model with Experimentallenvironment. The focus of the paper is on the . of the ABM. For the micro level, I suggest to design an experiment in order to gain insights into households’ behaviors. For the macro level, I plan to build an ABM where agents are estimated, rather than calibrated, by using data collected in the expe
49#
發(fā)表于 2025-3-30 02:02:47 | 只看該作者
50#
發(fā)表于 2025-3-30 06:21:36 | 只看該作者
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