� � � Measures of Context-Awareness for � Self-Organizing Systems ——————————————————————— � � Andrei Olaru, Cristian Gratie, Adina Magda Florea University ’Politehnica’ of Bucharest � � 17.12.2009 � 1/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
� Introduction � Emergence � Context-awareness Measures of Context-Awareness � System description for Self-Organizing Systems � Pressure ——————————————- � Interest overview � Results � Conclusion � References 2/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
◮ Self-organising agent systems � � Measures of Context-Awareness � for Self-Organizing Systems � Introduction � Emergence � Context-awareness � System description � Pressure � Interest � Results � Conclusion � References 3/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
◮ Self-organising agent systems � � Measures of Context-Awareness � for Self-Organizing Systems � Introduction � Emergence � Context-awareness ◮ Ambient Intelligence (AmI) � System description human-machine interface – information exchange – network layer � Pressure � Interest � Results � Conclusion � References 3/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
◮ Self-organising agent systems � � Measures of Context-Awareness � for Self-Organizing Systems � Introduction � Emergence � Context-awareness ◮ Ambient Intelligence (AmI) � System description human-machine interface – information exchange – network layer � Pressure � Interest � Results � Conclusion � References 3/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
◮ Self-organising agent systems � � Measures of Context-Awareness � for Self-Organizing Systems � Introduction � Emergence � Context-awareness ◮ Ambient Intelligence (AmI) � System description human-machine interface – information exchange – network layer � Pressure � Interest � Results � Conclusion � References 3/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
◮ Self-organising agent systems � � Measures of Context-Awareness � for Self-Organizing Systems � Introduction � Emergence � Context-awareness ◮ Ambient Intelligence (AmI) � System description human-machine interface – information exchange – network layer � Pressure � Interest � Results � Conclusion � References 3/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
◮ Self-organising agent systems � � Measures of Context-Awareness � for Self-Organizing Systems � Introduction � Emergence � Context-awareness ◮ Ambient Intelligence (AmI) � System description human-machine interface – information exchange – network layer � Pressure Constraints: � Interest · limited storage · limited performance � Results · large numbers · much information � Conclusion � References 3/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
◮ Self-organising agent systems � � Measures of Context-Awareness � for Self-Organizing Systems � Introduction � Emergence � Context-awareness ◮ Ambient Intelligence (AmI) � System description human-machine interface – information exchange – network layer � Pressure Constraints: � Interest · limited storage · limited performance � Results · large numbers · much information � Conclusion · context-awareness � References 3/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
◮ Self-organising agent systems � � Measures of Context-Awareness � for Self-Organizing Systems � Introduction � Emergence � Context-awareness ◮ Ambient Intelligence (AmI) � System description human-machine interface – information exchange – network layer � Pressure Constraints: � Interest · limited storage · limited performance � Results · large numbers · much information � Conclusion · context-awareness � References ◮ Create a multi-agent system that exchanges information 3/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
� � · coherent emergents at the macro-level that dynamically arise � from the interactions between the parts at the micro-level. � Measures of Context-Awareness � for Self-Organizing Systems Such emergents are novel with respect to the individual parts of the system. � Introduction [De Wolf and Holvoet, 2005] � Emergent Properties · reactive agents: � Context-awareness act � System description change perceive environment � Pressure � Interest � Results � Conclusion � References 4/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
� � � � � · coherent emergents at the macro-level that dynamically arise � from the interactions between the parts at the micro-level. � Measures of Context-Awareness � for Self-Organizing Systems Such emergents are novel with respect to the individual parts of the system. � Introduction [De Wolf and Holvoet, 2005] � Emergent Properties · reactive agents: � Context-awareness act � System description change perceive [Beurier et al., 2002] [Zambonelli et al., 2004] environment � Pressure · cognitive � Interest agents: � Results [Picard and Toulouse, 2005] � Reasoner input � Conclusion � References Planner output Scheduler 4/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
� � � � � · coherent emergents at the macro-level that dynamically arise � from the interactions between the parts at the micro-level. � Measures of Context-Awareness � for Self-Organizing Systems Such emergents are novel with respect to the individual parts of the system. � Introduction [De Wolf and Holvoet, 2005] � Emergent Properties · reactive agents: � Context-awareness act � System description change perceive [Beurier et al., 2002] [Zambonelli et al., 2004] environment � Pressure · cognitive � Interest agents: � Results [Picard and Toulouse, 2005] � Reasoner input knows: � Conclusion ◮ what it wants to do � References ◮ what it is able to do Planner ◮ how it can do it output Scheduler 4/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
� � � � � · coherent emergents at the macro-level that dynamically arise � from the interactions between the parts at the micro-level. � Measures of Context-Awareness � for Self-Organizing Systems Such emergents are novel with respect to the individual parts of the system. � Introduction [De Wolf and Holvoet, 2005] � Emergent Properties · reactive agents: � Context-awareness act � System description change perceive [Beurier et al., 2002] [Zambonelli et al., 2004] environment � Pressure · cognitive � Interest agents: � Results [Picard and Toulouse, 2005] � Reasoner input � Conclusion � References Planner ◮ obtain global goal ◮ by local selfish goals output Scheduler 4/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
� � Measures of Context-Awareness � for Self-Organizing Systems · allows for adequate action, according to the conditions � Introduction · context should influence not only the choice of actions, � Emergence but the internal metabolism of agents � Context-awareness · for a self-organising AmI system for information exchange, context measures should be simple, and generic � System description enough. � Pressure · two measures of context-awareness for pieces of � Interest information were developed: � Results � Conclusion � References 5/ 13 Computer . . Andrei Olaru, Cristian Gratie, Adina Magda Florea Science & Engineering . EUMAS 2009 . Ayia Napa, Cyprus, 17.12.2009 Department
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