6533b829fe1ef96bd1289b12
RESEARCH PRODUCT
Representing social intelligence: An agent-based modeling application
Valeria SeiditaAntonio Chellasubject
Social intelligenceComputer sciencebusiness.industryCognitive Neuroscience0211 other engineering and technologiesIntelligent decision support system021107 urban & regional planningExperimental and Cognitive PsychologyEmergent systems02 engineering and technologySocial phenomenaEmergent systemsTask (project management)University campusArtificial IntelligenceHuman–computer interactionAgent based modeling0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceAdaptation (computer science)businessdescription
Abstract Intelligent systems are composed of autonomous components that interact each others, with and through the environment, in order to give intelligent support for reaching specific objectives. In such kind of systems the environment is an active part of the system itself and provides input for runtime changing and adaptation. Modeling and representing systems like this is a hard task. In this paper we propose a biologically inspired approach that combined with the use of Agent-Based Modeling allows to create a means for analyzing emergent needs of the system at runtime and converting them into useful intelligent services to be provided. The experiment proposed for validating and illustrating the approach refers to the construction of smart university campus.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-10-01 | Biologically Inspired Cognitive Architectures |