Physically Based Models
 | Animate objects according to physical principles |
| Object motion is subject to world's forces according to f = ma |
| This may sound easy, but to model accurately requires solving differential
equations |
| Rather
than solve analytically, approximate by solving iteratively
 | Euler integration |
| Runge-Kutta |
|
| Numerical instability arise based on step size and accumulated errors due
to approximation --- a reason to take CPS 150 :) |
| Examples
|
Distributed Computation
| Computation is distributed over all agents in system |
| Characterized by decentralized control where aggregate behavior is
emergent |
| Simple rules, when combined, lead to complex behavior |
| Examples
|
Artificial Life
| Combine distributed computation over colonies, species, or even parts of a
single body |
| Examples
|
ALife meets Animation
| Sometimes animator wants some level of control over artificial life |
| Examples
| Hard versus Soft Constraints |
| Inverse Kinematics |
| Optimization |
|
References
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