Neuro-symbolic alerting rules

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Journal titleIEEE Transactions on Industrial Electronics
IssueNovember 11
Pages36613668; # of pages: 8
Subjectbuilding automation; neuro-symbolic networks; RuleML; perception; decision-making
AbstractFuture building automation will require complex (human-like) perception and decision-making processes not being feasible with classical approaches. In this paper, we address both the perception and the decision-making process and present an alerting model that reacts to perceived situations in a building with decisions about possible alerts. Perception is based on the neuro-symbolic information processing model, which detects candidate alerts. Integrated with perception, decision-making is based on the rule model of RuleML, which computes alerts to relevant building occupants about current opportunities and risks. A general model of neuro-symbolic alerting rules is developed and exemplified with a use case of building alerts.
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AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Information Technology
Peer reviewedYes
NPARC number15192584
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Record identifier03aaee0a-b5cb-4d97-98ce-b865f12f78c5
Record created2010-06-10
Record modified2016-05-09
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