Embedding intelligent decision making within complex dynamic environments
| Autor: | E. Sweeney, Gregory M. P. O'Hare, Dermot Diamond, Conor Muldoon, Michael J. O'Grady, H. R. Kolar, Richard Tynan, Antonio G. Ruzzelli |
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| Rok vydání: | 2007 |
| Předmět: |
Linguistics and Language
Computer science Process (engineering) Intelligent agents Stream Distributed computing media_common.quotation_subject Machine learning computer.software_genre Language and Linguistics Intelligent agent Artificial Intelligence Hybrid intelligence Resource bounded reasoning Quality (business) media_common Intelligent agents (Computer software) Decision engineering business.industry BDI agents Environmental monitoring Constraint (information theory) Environmental monitoring--Computer networks Embedding Artificial intelligence Stream computing Distributed decision-making business Decision making Wireless sensor network computer |
| Zdroj: | Artificial Intelligence Review. 27:189-201 |
| ISSN: | 1573-7462 0269-2821 |
| DOI: | 10.1007/s10462-008-9089-y |
| Popis: | Decision-making is a complex and demanding process often constrained in a number of possibly conflicting dimensions including quality, responsiveness and cost. This paper considers in situ decision making whereby decisions are effected based upon inferences made from both locally sensed data and data aggregated from a sensor network. Such sensing devices that comprise a sensor network are often computationally challenged and present an additional constraint upon the reasoning process. This paper describes a hybrid reasoning approach to deliver in situ decision making which combines stream based computing with multi-agent system techniques. This approach is illustrated and exercised through an environmental demonstrator project entitled SmartBay which seeks to deliver in situ real time environmental monitoring. Science Foundation Ireland |
| Databáze: | OpenAIRE |
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