Incorporating Behavioral Constraints in Online AI Systems

Incorporating Parameter Constraints in GLMs

Incorporating Illumination Constraints in Deformable

We present a method for the integration of illumination constraints within a deformable model framework. These constraints are incorporated as nonlinear holo-nomic constraints in the Lagrange equations of motion governing the deformation of the model. For improved numerical performance we employ the Baumgarte stabilization method. Our methodology is general and can be used for a broad range of ...

Incorporating Behavioral Techniques Into the Systems Development Life Cycle

The gathering of a variety of human-oriented information is vital in the development s ages of a software system. This information can be applied at a given stage to improve the humancomputer interface of the software product. To reflect this, new categories of design and~or development effort need to be added to the traditional systems development stages. These efforts, termed user factor stag...

Behavioral AI Experiments and Economics

This paper describes promising possibilities of cooperation between behavioral AI and economics. The importance of realworld experiments is discussed in some detail. An experiment is presented, in which robotic agents live in an ecosystem together with competitors. The agent’s behavior is analyzed from an economic point of view. Results, limitations, and future prospects are presented.

Fuzzy Systems in AI

This paper reviews motivations for introducing fuzzy sets and fuzzy logic to knowledge representation in artificial intelligence. First we consider some areas of successful application of conventional approaches to system analysis. We then discuss limitations of these approaches and the reasons behind these limitations. We introduce different levels of representation for complex systems and dis...