Human-Machine Intelligence: Frigates are Intelligent Organisms

Hasbach, Jonas D.; Witte, Thomas E. F.

doi:10.1109/smc52423.2021.9658640

Cited by 4 publications

(1 citation statement)

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“…Designers must make decisions with uncertainty in mind. A major challenge is to mitigate the problem of the fog of design and to be prepared for it, for example with the deliberate use of adaptation mechanisms (see [11], [12]). Another approach is to clear the fog as well as possible.…”

Section: Fog Of Designmentioning

confidence: 99%

On the Importance of Embodiment for Artificial Design Intelligence in the Context of Sociotechnical Systems

Witte

Schwarz

Nitsch

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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Artificial intelligence methods are increasingly used in the design of sociotechnical systems. The design of such systems can be described as an ill-defined problem. The problem space often changes while working on a design solution. Further, an anticipation of future system states is challenging, because of possible changes of organisational, technological or other environmental aspects during the lifecycle of a sociotechnical system. Embodied artificial intelligence can help to structure the problem space. It can also act as a feedback mechanism of the inner workings of a system and its surroundings for a designer. Therefore, this short article discusses the emphasis of embodied artificial intelligence for the theory of design in the context of sociotechnical systems and its implications.

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Section: Fog Of Designmentioning

confidence: 99%

On the Importance of Embodiment for Artificial Design Intelligence in the Context of Sociotechnical Systems

Witte

Schwarz

Nitsch

2022

IOP Conf. Ser.: Mater. Sci. Eng.

Self Cite

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Robot swarms as embodied extensions of humans

Rockbach

Bennewitz

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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In order to harness the potential of robot swarms, humans must be able to control decentralized and self-organizing multi-agent systems. The field of human-swarm interaction investigates how humans with their centralized information and control demands can be paired with the decentralized architectures of robot swarms. Recently, we have proposed an architecture which aims at balancing the trade-offs between centralized and decentralized control and communication in human-swarm interaction while joining the relative capabilities of human cognition and swarm intelligence. In this article, we expand on this architecture by discussing a list of design requirements that must be met in order to make robot swarms embodied extensions of humans that act and feel like natural body parts. We also conceptually show how some of the design requirements could be implemented by simple rules when we take the world’s structure into account.

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