Multiple objective behavior-based control
โ Scribed by P. Pirjanian
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 251 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0921-8890
No coin nor oath required. For personal study only.
โฆ Synopsis
The notion of optimality and its feasibility are revisited in the context of behavior-based control. It is argued that optimal behavior is not feasible for real-world applications. As an alternative to optimality I promote Pareto-optimal and satisficing solutions which correspond to efficient and "good enough" behavior. It is then demonstrated that multiple objective decision theory provides a suitable framework for formulating behavior-based controllers that generate Pareto-optimal and satisficing behavior. A set of simulated and real-world experiments are reported that support this view.
๐ SIMILAR VOLUMES
In this article we present an approach to determine the initially unspecified weights in an additive measurable multiattribute value function. We formulate and solve a series of nonlinear programming problems which (1 ) incorporate whatever partial information concerning the attribute weights or ove