Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Crosscombe, Michael"'
Publikováno v:
ALIFE 2024: Proceedings of the 2024 Artificial Life Conference. Online. (pp. 92)
We introduce a simulation environment to facilitate research into emergent collective behaviour, with a focus on replicating the dynamics of ant colonies. By leveraging real-world data, the environment simulates a target ant trail that a controllable
Externí odkaz:
http://arxiv.org/abs/2406.13147
Autor:
Crosscombe, Michael, Sato, Hiroki
In many complex systems, we observe that `interesting behaviour' is often the consequence of a system exploiting the existence of an Information Bottleneck (IB). These bottlenecks can occur at different scales, between individuals or components of a
Externí odkaz:
http://arxiv.org/abs/2306.01806
Autor:
Crosscombe, Michael, Lawry, Jonathan
The design of distributed autonomous systems often omits consideration of the underlying network dynamics. Recent works in multi-agent systems and swarm robotics alike have highlighted the impact that the interactions between agents have on the colle
Externí odkaz:
http://arxiv.org/abs/2306.01179
Autor:
Crosscombe, Michael, Lawry, Jonathan
In decentralised autonomous systems it is the interactions between individual agents which govern the collective behaviours of the system. These local-level interactions are themselves often governed by an underlying network structure. These networks
Externí odkaz:
http://arxiv.org/abs/2106.00655
Possibility theory is proposed as an uncertainty representation framework for distributed learning in multi-agent systems and robot swarms. In particular, we investigate its application to the best-of-n problem where the aim is for a population of ag
Externí odkaz:
http://arxiv.org/abs/2001.07145
We study the effectiveness of consensus formation in multi-agent systems where there is both belief updating based on direct evidence and also belief combination between agents. In particular, we consider the scenario in which a population of agents
Externí odkaz:
http://arxiv.org/abs/1905.04840
Akademický článek
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Autor:
Crosscombe, Michael, Lawry, Jonathan
Publikováno v:
Adaptive Behavior. 24 (4). pp 249-260. 2016
Consensus formation is investigated for multi-agent systems in which agents' beliefs are both vague and uncertain. Vagueness is represented by a third truth state meaning \emph{borderline}. This is combined with a probabilistic model of uncertainty.
Externí odkaz:
http://arxiv.org/abs/1612.03433
Autor:
Crosscombe, Michael, Lawry, Jonathan
A framework for consensus modelling is introduced using Kleene's three valued logic as a means to express vagueness in agents' beliefs. Explicitly borderline cases are inherent to propositions involving vague concepts where sentences of a proposition
Externí odkaz:
http://arxiv.org/abs/1607.05540