Flocks, herds, and schools: a distributed behavioral model

By Craig W. Reynolds. 1987

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Wei Ren
2. Yongcan Cao
3. Wenwu Yu
4. Guanrong Chen
5. Housheng Su
6. Guanghui Wen
7. Zhongkui Li
8. Francesco Bullo

Citations in the corpus

• Benchmark and Survey of Automated Machine Learning Frameworks (2019, methodology): “Escalante et al. (2009) and Claesen et al. (2014) perform hyperparameter optimization using a particle swarm (Reynolds, 1987).”
• Survey on Automated Machine Learning (2019, background): “Another evolutionary algorithm instance is a particle swarm (Reynolds, 1987).”
• How simple rules determine pedestrian behavior and crowd disasters (2011, background): “S5 and Table S1), suggests a paradigm shift from physics-inspired binary interaction models to an integrated treatment of multiple interactions, which are typical for social interactions in human crowds or animal swarms (23 – 28).”
• Flocking with obstacle avoidance: cooperation with limited communication in mobile networks (2003, background): “A simulation of the alignment rule of Reynolds with explicit statement of the equations of the alignment rule is given in Vicsek et al. [6].”
• Multi-Agent Coordination by Decentralized Estimation and Control (2008, background): “demonstrated in a number of models of schooling and flocking [8], [33], [38], [40], there are few tools to guide the design of local control laws to achieve a particular desired collective behavior.”
• A New Model for Self-organized Dynamics and Its Flocking Behavior (2011, background): “Many models have been introduced to appraise the emergent behavior of self-organized systems [2, 3, 7, 13, 17, 22, 25, 27].”
• A review of sociotechnical systems theory: a classic concept for new command and control paradigms (2008, background): “Managers and commanders now become a form of executive, coordinating function, ‘designing behaviours’ rather than arduously ‘scripting tasks’ (e.g. Reynolds 1987).”
• How the body shapes the way we think - a new view on intelligence (2006, background): “Reynolds created the “boids,” computer simulations of agents that can flock (Reynolds, 1987).”
• Distributed leader-follower flocking control for multi-agent dynamical systems with time-varying velocities (2010, background): “Download date: 25-10-2019 Contents lists available at ScienceDirect Systems & Control Letters journal homepage: www.elsevier.com/locate/sysconle Distributed leader–follower flocking control for multi-agent dynamical systems with time-varying velocities Wenwu Yu a,b,∗, Guanrong Chen b, Ming Cao c a D”
• Human Interaction With Robot Swarms: A Survey (2016, methodology): “One of the first algorithms to enable a swarm of robots to flock was presented by Reynolds in [60], with the motivation to simulate flocks”
• Neuroscience Needs Behavior: Correcting a Reductionist Bias. (2017, unknown): “The rules are simple—for example, one of them is ‘‘steer to average heading of neighbors’’ (Reynolds, 1987).”