@inproceedings{15f3c9a6280c407a8aaf295c02f3d80e,
title = "An architecture for pattern recognition and decision-making",
abstract = "We present a simple brain architecture that allows agents to recognise patterns and make decisions based on those patterns. It takes into account not only the type of situation the agent thinks it is facing, but also how confident the agent is in its assessment, and possible alternatives. An agent using this brain was applied to two classification tasks: Handwritten numeral recognition and spoken numeral recognition. In both cases, its accuracy was comparable to more traditional classifiers. This suggests that the new architecture could be useful as a generalpurpose brain, for agents in a variety of domains.",
keywords = "Artificial life, Automatic speech recognition, Decision-making, Handwriting recognition",
author = "{de Buitl{\'e}ir}, Amy and Ronan Flynn and Michael Russell and Mark Daly",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 14th International Conference on Simulation of Adaptive Behavior, SAB 2016 ; Conference date: 23-08-2016 Through 26-08-2016",
year = "2016",
doi = "10.1007/978-3-319-43488-9_3",
language = "English",
isbn = "9783319434872",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag GmbH and Co. KG",
pages = "22--33",
editor = "John Hallam and Elio Tuci and Alexandros Giagkos and Myra Wilson",
booktitle = "From Animals to Animats - 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Proceedings",
address = "Germany",
}