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Massive deployments of devices across all kinds of environments pose the need for engineering their collaborative, macro-level behaviour. To address this challenge, so-called macro-programming approaches have emerged. A prominent nature-inspired example ...

The field of emergent communication investigates the emergence of shared linguistic conventions among autonomous agents engaged in cooperative tasks that require communication. Conventions that arise through self-organisation are known to be more robust, ...

This paper introduces a methodology for establishing linguistic conventions in populations of autonomous agents in a fully decentralised manner. As agents take part in local communicative interactions, they gradually establish a common conceptual system ...

The formation and evolution of public opinion have been widely studied to understand how consensus forms due to atomic interactions between individuals. While many studies have paid attention to modelling influence and interaction, most of the literature ...

This paper presents a new model for the self-creation of an artificial multicellular organism from one cell, which is inspired by 'The Autopoietic System Theory' at different levels. This theory has been proposed to define the universal self-organisation ...

Self-organisation in robot swarms can produce collective behaviours, particularly through spatial self-organisation. For example, it can be used to ensure that the robots in a swarm move collectively. However, from a designer’s point of view, ...

The growth of small systems towards ultra-large-scale ones gradually leads us to leave the control of those systems to themselves. Autonomic computing has come to help. One of the sub-categories of autonomic computing, which is proper for distributed ...

Over the years, population protocols with the goal of reaching consensus have been studied in great depth. However, many systems in the real-world do not result in all agents eventually reaching consensus, but rather in the opposite: they converge to a ...

Space and time are key elements for many computer-based systems and often elevated to first-class abstractions. In tuple-based coordination, Linda primitives have been independently extended with space (with tuples and queries spanning spatial ...

Games are an increasingly useful tool for training and testing learning algorithms. Recent examples include GANs, AlphaZero and the AlphaStar league. However, multi-agent learning can be extremely difficult to predict and control. Learning dynamics can ...

Moving nodes in a Mobile Wireless Sensor Network (MWSN) typically have two maintenance objectives: (i) extend the coverage of the network as long as possible to a target area, and (ii) extend the longevity of the network as much as possible. As nodes ...

Collective adaptive system (CAS) is a distributed system which has heterogeneous agents with different capabilities in large scale. Having self-adaptiveness in CAS can address problems about coordination and cooperation of agents. This research compares ...

The level of urban comprehensive service function reflects the ability of a city's sustained, coordinated and healthy development. With continuous expansion of city's scale, finding key driving forces to enhance urban comprehensive service function, and ...

A key problem when coordinating the behaviour of spatially situated networks, like those typically found in the Internet of Things (IoT), is adaptation to changes impacting network topology, density, and heterogeneity. Computational goals for such ...

In this paper a honeybee inspired collective-decision-making algorithm called BEECLUST is studied in a swarm of autonomous robots and the performance of the swarm is investigated in different conditions.

The algorithm has low requirements thus it is ...

Humans and other animals have been shown to perform near-optimally in multi-sensory integration tasks. Probabilistic population codes PPCs have been proposed as a mechanism by which optimal integration can be accomplished. Previous approaches have ...

This paper develops a theoretical framing of inter-organisational health information systems as Complex Adaptive Systems (CAS) in the context of emergency medical services (EMS). The paper first argues for the relevance and value of the CAS approach, ...

Dictyostelium discoideum is a social amoeba exhibiting distinct self-organising behaviour at different phases of its life - signalling lack of food, recruiting partners to create a single super-organism (fruiting body) and moving in a coordinated way ...

Self-organization refers to the capacity of networks of agents to combine and recombine their activities towards some form of overall order without centralized coordination. Such global order is the result of each agent acting based on its own interests ...

When visual sensor networks are composed of cameras which can adjust the zoom factor of their own lens, one must determine the optimal zoom levels for the cameras, for a given task. This gives rise to an important trade-off between the overlap of the ...