Multi-agent Model of Biological Swarming

نویسندگان

  • Robert Mach
  • Frank Schweitzer
چکیده

An agent-based approach is used to explain the formation of vortex swarms in biological systems. The dynamics of the multiagent system is described by 3N coupled equations, modeling for each agent its position, its velocity and its internal energy depot. The energy depot considers the conditions for active biological motion, such as energy take-up, metabolism, and energy conversion. The equation of motion results from a superposition of deterministic and stochastic terms (random noise). The deterministic part considers indirect interactions with other agents to describe local avoidance behavior, and external influences resulting from an attractive environmental potential. Stochastic computer simulations of the multi-agent system are shown in very good agreement with the behavior observed in Daphnia swarms.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Generation and analysis of multiple futures with swarming agents

Most agent-based modeling techniques generate one trajectory per run, greatly under-sampling the space of possible trajectories. Swarming agents that interact through digital pheromones can explore many alternative futures in parallel, based on an interpretation of pheromone fields as probability fields that yields more information from them than swarming models usually yield, and also facilita...

متن کامل

Modeling vortex swarming in Daphnia.

Based on experimental observations in Daphnia, we introduce an agent-based model for the motion of single and swarms of animals. Each agent is described by a stochastic equation that also considers the conditions for active biological motion. An environmental potential further reflects local conditions for Daphnia, such as attraction to light sources. This model is sufficient to describe the ob...

متن کامل

Agent interaction, multiple perspectives, and swarming simulation

Agents in a multi-agent system do not act in a vacuum. The outcome of their efforts depends on the environment in which they seek to act, and in particular on the efforts of other agents with whom they share the environment. We review previous efforts to address this problem, including active environments, concurrency modeling, recursive reasoning, and stochastic processes. Then we propose an a...

متن کامل

A model for Large-scale Team Formation for a Disaster Rescue Problem

We present a model for multi-agent team formation and task allocation through implicit communication among the agents. Intelligent stationary agents (beacons) that are placed dynamically over the task area mediate the communication process among the task agents. Task specialization and the current situation in a region are used to guide the task allocation, team formation is based on the streng...

متن کامل

Pheromones, Probabilities, and Multiple Futures

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...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003