Titlebook: Artificial Life and Computational Intelligence; First Australasian C Stephan K. Chalup,Alan D. Blair,Marcus Randall Conference proceedings

淘氣

Hausdorff at the Pinnacle of his CareerP with stack-based operations from .. We show that evolved . programs can successfully learn to perform a variety of benchmark classification tasks, and that performance is enhanced by the sharing of genetic material between tasks.

精致

Egbert Brieskorn,Walter Purkert be hand-crafted or learned. There has been previous work on learning them by exploring the environment. Here we take a different perspective and present an approach to learn options from a set of experts demonstrations. Empirical results are also presented in a similar setting to the one used in other works in this area.

Explicate

Graduated

Exploring the Periphery of Knowledge by Intrinsically Motivated Systemssible approach, showing that an intrinsically motivated system where the motivation depends on stimulus familiarity as an inverted U-shape, exhibits well-structured exploration behaviour. Furthermore, we show that such behaviour may lead to the emergence of complex competences such as object affordances.

Acupressure

較早

Transgenic Evolution for Classification Tasks with ,P with stack-based operations from .. We show that evolved . programs can successfully learn to perform a variety of benchmark classification tasks, and that performance is enhanced by the sharing of genetic material between tasks.

Feigned

concise

Friction

On the Estimation of Convergence Times to Invariant Sets in Convex Polytopic Uncertain Systemsical and numerical methods for computing the aforementioned convergence time. Finally, a number of numerical examples, including a flexible link robotic manipulator, are given to illustrate the results.

Gyrate

A Sensor Fusion Approach to the Fault Tolerant Control of Linear Parameter Varying Systemsuncertainty and system disturbances. We ensure the preservation of closed-loop system boundedness for a wide range of sensor fault situations and for the whole domain of plant model uncertainty. To illustrate the performance of the proposed FTC strategy, a flexible joint robotic arm example is presented.