Titlebook: Distributed Computing and Artificial Intelligence, Volume 1: 18th International Conference; Kenji Matsui,Sigeru Omatu,Sara Rodríguez Gonzá

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Conference proceedings 2022papers were submitted to main track and special sessions, by authors from 24 different countries, representing a truly “wide area network” of research activity. The DCAI’21 technical program has selected 21 papers, and, as in past editions, it will be special issues in ranked journals such as Electr

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Nicholas Ross Smith,Martin Hollandork layer finds an internal representation of each individual BOF, while the other layers use this representation to concurrently learn a common BOF model. Our evaluation shows that the prediction accuracy of the common model increases compared to separate models trained on individual furnaces’ data

Nutrient

Katie Verlin Laatikainen,Karen E. Smith potential to expand their utility to day-to-day devices used by patients and healthcare workers; however, these improvements are context- and architecture-dependent and should be tested on the relevant devices before deployment in low-resource environments.

Leaven

Incommensurate

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Laura C. Ferreira-Pereira,Michael Smithwhereby the isolation forest algorithm is used to detect potentially anomalous data points and the anomaly threshold is defined by computing the interquartile range of anomaly scores. To compensate for the fact that single anomalies are unlikely to be of significance, when deploying the isolation fo

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A Theorem Proving Approach to Formal Verification of a Cognitive Agent,ed how theorem proving can be applied to verify agent systems. We formalize a framework for verification of cognitive agent programs in a proof assistant. This enables access to powerful automation and provides assurance that our results are correct.