We propose an approach towards multi-agent system for simulation and detection of primitive collective behaviors emerging from a crowd in panic. This paper presents various works on which our method is based, by methods of planning and decisions allowing emergence of primitive collective behaviors. We present then an implementation in a virtual environment and detection experiments of emergent ...

Emergent collective behaviors have long interested researchers. These behaviors often result from complex interactions between many individuals following simple rules. However, knowing what collective behaviors are possible given a limited set of capabilities is difficult. Many emergent behaviors are counter-intuitive and unexpected even if the rules each agent follows are carefully constructed...

In this work we introduce an approach for modeling and analyzing collective behavior of a group agents using moments. We represent the via their distribution derive method to estimate dynamics use predict evolution by first computing moment trajectories then reconstruct agents. latter inverse problem is solved in order nominal recover macro-scale properties The proposed applicable several types...

Models of swarming and modes of controlling them are numerous; however, to date swarm researchers have mostly ignored a fundamental problem that impedes scalable human interaction with large bio-inspired robot swarms, namely, how do you know what the swarm is doing if you can’t observe every agent in the collective? Some swarm models exhibit multiple emergent behaviors from the same parameters....

What motivates individuals to join an online group? When individuals abandon social media sites, where do they migrate to? Can we predict box office revenues for movies from tweets posted by individuals? These questions are a few of many whose answers require us to analyze or predict behaviors on social media. Individuals exhibit different behaviors in social media: as individuals or as part of...

In this chapter, the essentials of genetic algorithm (GA) following the footsteps of Turing are introduced. We introduce the connection between Turing’s early ideas of organized machines and modern evolutionary computation. We mainly discuss the GA applications to adaptive complex system modeling. We study the agent-based market where collective behaviors are regarded as aggregations of individ...

This paper discusses the difficulties of analyzing and synthesizing intelligent collective behaviors for a collection of mobile robots. It reviews available approaches and presents a bottom-up experimental alternative consisting of a set of robust global behaviors based on simple local rules. These basic behaviors are designed to be sufficient and additive, in order to be combined into more com...