Using dynamic analysis for realistic animation of articulated bodies
IEEE Computer Graphics and Applications
Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Controlling dynamic simulation with kinematic constraints
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Energy constraints on parameterized models
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Techniques for interactive manipulation of articulated bodies using dynamic analysis
Proceedings on Graphics interface '88
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
A study in interactive 3-D rotation using 2-D control devices
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
A modeling system based on dynamic constraints
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Collision Detection and Response for Computer Animation
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Motion interpolation by optimal control
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Artificial Life
Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Spacetime constraints revisited
SIGGRAPH '93 Proceedings of the 20th 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
Behavioral control for real-time simulated human agents
I3D '95 Proceedings of the 1995 symposium on Interactive 3D graphics
Multi-level direction of autonomous creatures for real-time virtual environments
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
A synthetic agent system for Bayesian modeling of human interactions
Proceedings of the third annual conference on Autonomous Agents
Complex Models for Animating Synthetic Actors
IEEE Computer Graphics and Applications
The ALIVE system: wireless, full-body interaction with autonomous agents
Multimedia Systems - Special issue on multimedia and multisensory virtual worlds
Physically realistic motion synthesis in animation
Evolutionary Computation
Animating behavior of virtual agents: the virtual park
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartIII
A new architecture for simulating the behavior of virtual agents
ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
Edutainment'07 Proceedings of the 2nd international conference on Technologies for e-learning and digital entertainment
Towards autonomous, perceptive, and intelligent virtual actors
Artificial intelligence today
Using software sensors for migrating from classical simulation systems towards virtual worlds
ECBS'97 Proceedings of the 1997 international conference on Engineering of computer-based systems
Non-linear dynamical system approach to behavior modeling
The Visual Computer: International Journal of Computer Graphics
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Behavioral animation is a means for automatic motion control in which animated objects are capable of sensing their environment and determining their motion within it according to certain rules. An interactive method of behavioral animation in which the user controls motion by designing a network mapping sensor information to effectors is described. The system is called Notion. The network consists of sensors (such as distance to other objects and recognition of their qualities) and effectors (here, jet motors propel objects) connected by nodes and connections. Nodes, which embody such responses as attraction, avoidance, arbitration, and their outputs, map sensory stimuli to effector responses. Sensors, nodes, and effectors are given set limits. Such limits, together with an interactive window environment for altering the network, make it possible to explore a variety of motions quickly.