Our previous work on real-valued function optimization problems had shown that cultural learning emerged as the result of meta-level interaction or swarming of knowledge sources, “knowledge swarms” in the belief space. These meta-level swarms induced the swarming of individuals in the population space, “Cultural Swarms”. The interaction of these knowledge sources produced emergent phases of pro...

Swarming bacteria move in multicellular groups and exhibit adaptive resistance to multiple antibiotics. Analysis of this phenomenon has revealed the protective power of high cell densities to withstand exposure to otherwise lethal antibiotic concentrations. We find that high densities promote bacterial survival, even in a nonswarming state, but that the ability to move, as well as the speed of ...

A genome analysis of Pseudomonas pseudoalcaligenes KF707, a PCBs degrader and metal-resistant soil microorganism, revealed the presence of two novel gene clusters named che2 and che3, which were predicted to be involved in chemotaxis-like pathways, in addition to a che1 gene cluster. We herein report that the histidine kinase coding genes, cheA2 and cheA3, have no role in swimming or chemotaxis...

Using many inexpensive rovers in place of single costly ones is an idea that has been gaining attention in the last decade. How to effectively control those rovers is an open question, but swarming is an attractive option to present. While much research in the field investigates intelligent swarming, recent research has shown that the unintelligent swarm is an effective control mechanism for th...

Most web sites are unable to serve content to a large number of users due to the inherent limitations of client-server file transfer. Recent peer-to-peer content delivery protocols have demonstrated the feasibility of spreading this load among the clients themselves, giving small web sites the possibility of serving large audiences with very low cost. In this paper we use a simulation-based per...

In the present paper the macroscopic limits of the kinetic model for interacting entities (individuals, organisms, cells) proposed in [3] are studied. The kinetic model is one–dimensional and entities are characterized by their position and orientation (+/-) with swarming interaction controlled by the sensitivity parameter γ. The macroscopic limits of the model are considered for solutions clos...

In this paper, we describe a novel swarming framework that guides autonomous mobile sensors into a flexible arrangement to interpolate values of a field in an unknown region. The algorithm is devised so that the sensor distribution will behave like a Chebyshev distribution, which can be optimal for certain ideal geometries. The framework is designed to dynamically adjust to changes in the regio...

Most agent-based modeling techniques generate only a single trajectory in each run, greatly undersampling the space of possible trajectories. Swarming agents can explore many alternative futures in parallel, particularly when they interact through digital pheromone fields. This paper shows how these fields and other artifacts developed by such a model can be interpreted as conditional probabili...

We develop an interacting particle model to simulate the life cycle of myxobacteria, which consists of two main stages--the swarming stage and the development (fruiting body formation) stage. As experiments have shown that the phase transition from swarming to development stage is triggered by starvation, we incorporate into the simulation a system of ordinary differential equations (ODEs) call...