Arthur’s paradigm of the El Farol bar for modeling bounded rationality and inductive behavior is undertaken. The memory horizon available to the agents and the selection criteria they utilize for the prediction algorithm are the two essential variables identified to represent the heterogeneity of agent strategies. The latter is enriched by including various rewarding schemes during decision mak...

As a ripple of light the fish turn. Like some animate fluid, the school glides and turns again. The synchrony of motion is captivating. A similar integration of behavior can be seen in a bird flock. The volume and shape of the group change as the group turns and arcs overhead, and yet the aggregate remains cohesive. Many group-living vertebrates exhibit complex, coordinated, spatiotemporal patt...

Simona Olmi, 2, ∗ Matteo Gori, 4, † Irene Donato, ‡ and Marco Pettini 4, § Institut für Theoretische Physik, Technische Universität Berlin, Hardenbergstr. 36, 10623 Berlin, Germany CNR Consiglio Nazionale delle Ricerche Istituto dei Sistemi Complessi, 50019, Sesto Fiorentino, Italy Aix Marseille Univ, CNRS, CPT, Marseille, France CNRS Centre de Physique Théorique UMR7332, 13288 Marseille, Franc...

Emergent behavior of swarm-like-systems results from interactions among system’s components and cannot be directly preprogrammed. This kind of behavior is very efficient, flexible and is closely related with collective (swarm-) intelligence. In the presented work we consider a derivation of local rules, creating such interactions, that lead to desired emergent behavior. As an example of collect...

Collective behavior refers to how individuals behave when they are exposed in a social network environment. In this article, we examine how we can predict online behaviors of users in a network, given the behavior information of some actors in the network. Many social media tasks can be connected to the problem of collective behavior prediction. Since connections in a social network represent v...

Collective animal behavior is an emergent phenomenon arising from the local interactions of the members of animal groups. Considerable progress has been made in characterizing these interactions, particularly inferring rules that shape and guide the responses of animals to their near neighbors. To date, experimental work has focused on collective behavior within a single, stable context. We exa...

Detection and analysis of collective behavior in natural and artificial systems is a difficult task which is commonly delegated to a human observer. We present a statistical framework to automatically detect emergent, collective behavior of agents in agent based simulations which exhibit swarming and flocking behavior. Our tunable, transitional-, rotational, and scaleinvariant framework – geome...

Utilizing the collective behavior of a population of interacting individuals, based on rather simple local algorithms, is a promising approach for achieving complex goals. We use an onboard online evolutionary model, based on finite Moore automata, to develop collective behavior in an artificial swarm of micro-robots. Experiments have been made in simulation to achieve Collision Avoidance. The ...

We present an agent-based model of the emergence of fashion-like collective behavior, based on a simple abstraction of individuals neuro-psychological conditioning. Our results show that fashion-like collective behavior can emerge from social interaction and the working of individuals’ neuro-psychological mechanisms, within a wide range of plausible assumptions about the levels of social strati...