The outcome of verifying software is often a `counterexample', i.e., a listing of the actions and states of a behavior not satisfying the specification. In order to understan...
Temporal derivatives are computed by a wide variety of neural circuits, but the problem of performing this computation accurately has received little theoretical study. Here we sy...
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...
Plan recognition in direct manipulation interfaces must deal with the problem that the information obtained is of low quality with respect to the plan recognition task. There are ...
Building architectures for autonomous rational behavior requires the integration of several AI components, such as planning, learning and execution monitoring. In most cases, the ...