Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Artificial fishes: physics, locomotion, perception, behavior
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Artificial life meets entertainment: lifelike autonomous agents
Communications of the ACM
Studies in hybrid systems: modeling, analysis, and control
Studies in hybrid systems: modeling, analysis, and control
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Artificial Life
Ant-like missionaries and cannibals: synthetic pheromones for distributed motion control
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Artificial Life: A Constructive Lower Bound for Artificial Intelligence
IEEE Expert: Intelligent Systems and Their Applications
Toward a formalization of emergence
Artificial Life
Particle systems—a technique for modeling a class of fuzzy objects
SIGGRAPH '83 Proceedings of the 10th annual conference on Computer graphics and interactive techniques
breve: a 3D environment for the simulation of decentralized systems and artificial life
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Extending self-organizing particle systems to problem solving
Artificial Life
Particle system: motion analysis
ASM '07 The 16th IASTED International Conference on Applied Simulation and Modelling
Long-term evolutionary dynamics in heterogeneous cellular automata
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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We discuss modeling and analysis of an artificial ecosystem. The ecosystem consists of basic elements, scents, plants, and animals. There are two species of animals: worms and beetles. As beetles absorb energy from worms, which absorb energy from blades of grass, which absorb energy from water, there is a food chain connecting animals to basic elements. The novelty of our approach lies in the modeling technique: we model the entire ecosystem using a single particle system. Consequently, the physical interaction dynamics not only shows emergent dynamics, but also some interesting lifelike properties. As the main contribution, we formalize the particle system and use it to model and analyze the ecosystem. We consider here several scenarios with nontrivial interaction dynamics.