<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>As unmanned platforms are more and more present in battlefield, alongside humans, in different configurations (from tele-operated to fully autonomous platforms, manned-unmanned teaming, swarming, etc.) and domains (space, air, land, sea, and underwater), it is also necessary for decision-making process to adapt to this new reality. This process will no longer be exclusively human and this requires that humans and machines share a common, meaningful, and timely understanding of the context in which they act and interact, namely a common situational awareness. We will investigate how this objective could be achieved by means of AI-related techniques of inference and reasoning based on ontologies that will enable all levels of information sharing (data, knowledge, and models) among all participants, humans and non-humans. The success of this undertaking shall be reflected by the achievement of a high level of interoperability between heterogeneous entities, within which they will be able to take advantage of each other’s best developed abilities.</p>
</abstract>

As unmanned platforms are more and more present in battlefield, alongside humans, in different configurations (from tele-operated to fully autonomous platforms, manned-unmanned teaming, swarming, etc.) and domains (space, air, land, sea, and underwater), it is also necessary for decision-making process to adapt to this new reality. This process will no longer be exclusively human and this requires that humans and machines share a common, meaningful, and timely understanding of the context in which they act and interact, namely a common situational awareness. We will investigate how this objective could be achieved by means of AI-related techniques of inference and reasoning based on ontologies that will enable all levels of information sharing (data, knowledge, and models) among all participants, humans and non-humans. The success of this undertaking shall be reflected by the achievement of a high level of interoperability between heterogeneous entities, within which they will be able to take advantage of each other’s best developed abilities.

Human-Machine Shared Situational Awareness

Land Forces Academy Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Human-Machine Shared Situational Awareness"}

As unmanned platforms are more and more present in battlefield, alongside humans, in different configurations (from tele-operated to fully autonomous...

Human-Machine Shared Situational Awareness

Publié en ligne: 11 janv. 2023

Pages: 376 - 385

DOI: https://doi.org/10.2478/raft-2022-0046

Mots clés
Artificial Intelligence (AI), Common Operational Picture (COP), human-machine, ontology, Situational Awareness (SA)

© 2022 Ion Grujdin, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Human-Machine Shared Situational Awareness

Publié en ligne: 11 janv. 2023

Pages: 376 - 385

DOI: https://doi.org/10.2478/raft-2022-0046

Mots clésArtificial Intelligence (AI), Common Operational Picture (COP), human-machine, ontology, Situational Awareness (SA)

© 2022 Ion Grujdin, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
Artificial Intelligence (AI), Common Operational Picture (COP), human-machine, ontology, Situational Awareness (SA)