Titlebook: Swarm Intelligence; 11th International C Marco Dorigo,Mauro Birattari,Vito Trianni Conference proceedings 2018 Springer Nature Switzerland

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Self-adaptive Quantum Particle Swarm Optimization for Dynamic Environmentsherein new, better optima can be detected. This paper proposes a strategy to dynamically adapt the quantum radius, with changes in the environment. A comparison of the adaptive radius QPSO with the static radius QPSO showed that the adaptive approach achieves desirable results, without prior tuning of the quantum radius.

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Automatic Design of Communication-Based Behaviors for Robot Swarmsethod. It does so by providing the robots with the capability to communicate using one message. The semantics of the message is not a priori fixed. It is the automatic design process that implicitly defines it, on a per-mission basis, by prescribing the conditions under which the message is sent by

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Behavior Trees as a Control Architecture in the Automatic Modular Design of Robot Swarmscrosses the reality gap satisfactorily. In this paper, we explore the possibility of adopting behavior trees as an architecture for the control software of robot swarms. We introduce .: an automatic design method that combines preexisting modules into behavior trees. To highlight the potential of th

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Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning cope with limited local sensing and communication abilities of the agents. While it is often difficult to directly define the behavior of the agents, simple communication protocols can be defined more easily using prior knowledge about the given task. In this paper, we propose a number of simple co

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Morphogenesis as a Collective Decision of Agents Competing for Limited Resource: A Plants Approachals and the products of photosynthesis – are a subject of competition for individual branches striving for growth. The competition is realized via a dynamic vascular system resulting in the dynamic morphology of the plant that is adapting to its environment. In this paper, a distributed morphogenesi

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Negative Updating Combined with Opinion Pooling in the Best-of-n Problem in Swarm Roboticshe . decision problem with large .. It utilises negative feedback obtained from direct pairwise comparison of options and evidence preserving opinion pooling. We present agent-based simulation experiments that explore the effects of pool size and the number of options on the speed of consensus. Robo