{"id":97,"date":"2019-09-30T14:40:56","date_gmt":"2019-09-30T14:40:56","guid":{"rendered":"http:\/\/cogsima.org\/?page_id=97"},"modified":"2019-10-16T15:31:01","modified_gmt":"2019-10-16T15:31:01","slug":"special-session-ieee-smc-2019","status":"publish","type":"page","link":"https:\/\/cogsima.org\/index.php\/special-session-ieee-smc-2019\/","title":{"rendered":"Special Session @ IEEE SMC 2019"},"content":{"rendered":"

Special Session
\n2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC\u201919)<\/h4>\n

Computational Models of Cognition and Situated Behavior in Cyber-Physical-Human Systems<\/h2>\n

October 7, 2019 – The Nicolaus Hotel, Bari, Italy<\/p>\n

 <\/p>\n

\"\"<\/p>\n

The Technical Committee on Cognitive Situation Management of the IEEE SMC Society organizes the Special Session on\u00a0Computational Models of Cognition and Situated Behavior in Cyber-Physical-Human Systems @ the 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC\u201919).<\/p>\n

This special session deals with the problem of developing approaches supporting cognitive situation management<\/strong>. Since intelligent behavior is inherently situational, intelligent artificial agents and systems need to obtain situation awareness and expose situated behavior. Recent advancements in machine learning and artificial intelligence (AI) have mainly focused on models of computational perception of individual local situations, achieving major breakthroughs in the automated detection of individual objects and entities from heterogeneous sources such as images, audio, video, and natural language. Hence, the upcoming challenge is how we can build intelligent agents capable to comprehend the overall observed situation(s), by interrelating these individual situations. As opposed to the clearly defined object recognition tasks, comprehension of situations represents a complex task of fusion of relational, spatial and temporal information, potentially emerging from the aggregation of multiple agents\u2019 views. These challenging characteristics thus call for novel and potentially synergistic approaches from both sub-symbolic and symbolic AI, as well as inspirations from the models of collective (swarm) intelligence in biological agents developed in cognitive science.<\/p>\n

Therefore, the goal is to bring together researchers from diverse fields to exchange on recent developments towards cognitive situation management, situation understanding, situation learning and knowledge acquisition, and situated interaction.<\/p>\n

 <\/p>\n

Take a look at the pictures of the event<\/a>!<\/p>\n

Program<\/h4>\n

Monday, Oct. 7, 14:00 – 16:00 | Room 1<\/strong> @ The Nicolaus Hotel<\/a>, Bari, Italy<\/p>\n

 <\/p>\n

1) 14:00 – 14:20: Some Issues in Modelling Comprehensive Situation Awareness<\/a><\/p>\n

Leo Motus, Leo, Mare Teichmann, Taivo Kangilaski, Jaan Priisalu, Jaanus Kaugerand<\/p>\n

Tallinn University of Technology<\/p>\n

 <\/p>\n

2) 14:20 – 14:40: SoReNet: A Novel Deep Network for Audio Surveillance Applications<\/a><\/p>\n

Antonio Greco, Alessia Saggese, Mario Vento, Vincenzo Vigilante<\/p>\n

University of Salerno<\/p>\n

 <\/p>\n

3) 14:40 – 15:00: Tactical Situation Modelling of MUM-T Helicopter Mission Scenarios Using Influence Maps<\/a><\/p>\n

Matthias Anton Frey, Axel Schulte<\/p>\n

Bundeswehr University Munich<\/p>\n

 <\/p>\n

4) 15:00 – 15:20: Berrick: A Low-Cost Robotic Head Platform for Human-Robot Interaction<\/a><\/p>\n

Riccardo Berra, Francesco Setti, Marco Cristani<\/p>\n

University of Verona<\/p>\n

 <\/p>\n

5) 15:20 – 15:40: Models of Situated Intelligence Inspired by the Energy Management of Brains<\/a><\/p>\n

Robert Kozma1<\/sup>, Raymond Noack2<\/sup>, Hava Siegelmann2<\/sup><\/p>\n

1 <\/sup>University of Memphis, TN, 2<\/sup> University of Massachusetts Amherst<\/p>\n

 <\/p>\n

6) 15:40-16:00: Maximizing the Availability of Composable Systems of Next-Generation Data Centers<\/a><\/p>\n

Leylane Silva1<\/sup>, Glauco Gon\u00e7avles2<\/sup>, Daniel Rosendo3<\/sup>, Guto Santos4<\/sup>, Andr\u00e9 Moreira1<\/sup>, Judith Kelner1<\/sup>, Djamel Sadok1<\/sup>, Mattias Wildeman5<\/sup>, Amardeep Mehta5<\/sup>, Patricia Takako Endo6<\/sup><\/p>\n

1<\/sup> Federal University of Pernambuco, 2<\/sup> Universidade Federal Rural de Pernambuco, 3<\/sup> GPRT, 4<\/sup> UFPE, 5<\/sup> Ericsson Research, 6 <\/sup>University of Pernambuco<\/p>\n

 <\/p>\n

Further details can be found @\u00a0https:\/\/sites.google.com\/view\/cogsima-smc19\u00a0<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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