Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Ray tracing complex models containing surface tessellations
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Turtles, termites, and traffic jams: explorations in massively parallel microworlds
Turtles, termites, and traffic jams: explorations in massively parallel microworlds
Realistic modeling and rendering of plant ecosystems
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
The Quadtree and Related Hierarchical Data Structures
ACM Computing Surveys (CSUR)
The micro-macro link in DAI and sociology
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Artificial Life: An Overview
The Design and Analysis of Computer Algorithms
The Design and Analysis of Computer Algorithms
An efficient instantiation algorithm for simulating radiant energy transfer in plant models
ACM Transactions on Graphics (TOG)
Simulating Multi-Agent Interdependencies. A Two-Way Approach to the Micro-Macro Link
Social Science Microsimulation [Dagstuhl Seminar, May, 1995]
Predicting nearest agent distances in artificial worlds
Artificial Life
Collective or scattering: evolving schooling behaviors to escape from predator
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Adaptive Agents and Multiagent Systems
IEEE Distributed Systems Online
A BEHAVIORAL AGENT MODEL FOR SYNTHESIZING VEGETATION DISTRIBUTION PATTERNS ON 3D TERRAINS
Applied Artificial Intelligence
Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering
Realistic Placement of Plants for Virtual Environments
IEEE Computer Graphics and Applications
Outlines of artificial life: a brief history of evolutionary individual based models
EA'05 Proceedings of the 7th international conference on Artificial Evolution
Emergence versus self-organisation: different concepts but promising when combined
Engineering Self-Organising Systems
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Agent-based modeling is a process of representing and simulating the intentions, behaviors and actions of complex systems with the goal of understanding specific phenomena related to the communications within complex systems that produce emergent behavior and self-organization, or for predicting spatial or behavioral patterns of individuals or groups of interacting entities. Agent-based modeling, also termed multi-agent systems, or in ecological simulation, individual-based models, spans simple to highly complex systems; their interactions can be difficult to implement and optimize programmatically, particularly when there could be hundreds of thousands of agents within a community that have multiple levels of communication. The resolution and the scale of simulation is an especially important component that could determine the accuracy of the models. This article focuses on the model resolution of complex systems, facilitated by an object-oriented communications framework, a foundation for the simulation of the fine resolution of the dynamics, behavior, preferences, interaction and n-tiered trophic networks, including the simulated environments they inhabit. It dissects individual agents with a view to modeling and simulating fine behaviors amongst a population of agent types in n-tiered networks, scalable to hundreds of thousands of species using mathematically defined behavior, efficient algorithms and adaptive data structures as support for the simulations.