Details

Autor(en) / Beteiligte

• Smirnov, Alexander
• Ponomarev, Andrew
• Taiar, Redha
• Ahram, Tareq
• Russo, Dario
• Karwowski, Waldemar
• Di Bucchianico, Giuseppe

Titel

Supporting Collective Intelligence of Human-Machine Teams in Decision-Making Scenarios

Ist Teil von

• Intelligent Human Systems Integration 2021, p.773-778

Ort / Verlag

Cham: Springer International Publishing

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Efficient collaboration of humans and machines has the great potential for improving many knowledge-intensive processes in variety of applications. Therefore, developing means supporting such collaboration and making it efficient is an important area of research. The paper presents a part of research aimed on the development of a collective intelligence environment that would support joint work of humans and machines on decision support problems, allowing participants to self-organize (define and adapt the plan of actions). In particular, it describes an approach to solving semantic interoperability issues in supporting human-machine collective intelligence for decision-making scenarios. The proposed approach is based on using multi-aspect ontologies and ontology-based smart spaces.