Trading autonomy for integration.

Agent Collaboration for Multiple Trading Strategy Integration

The collaboration of agents can undertake complicated tasks that cannot be handled well by a single agent. This is even true for excecuting multiple goals at the same time. In this paper, we demonstrate the use of trading agent collaboration in integrating multiple trading strategies. Trading agents are used for developing quality trading strategies to support smart actions in the market. Evolu...

Challenges in Autonomy The Quest for Full Autonomy in Unmanned Flight and the Integration of Unmanned Systems into the NAS

Explosive growth and an expanding range of applications for employing unmanned/autonomous systems, coupled with a disparate and growing list of users of autonomous systems, will continue to challenge the ability to implement a coherent and unified approach in the development, transition, and effective integration of cutting-edge autonomous systems technology safely into the National Airspace Sy...

Subsidiary Decision Making Autonomy: Competences, Integration and Local Responsiveness

Integration of Systems with Varying Levels of Autonomy

Integration of Inertial Information with Vision towards Robot Autonomy

Reconstructing 3D data from images acquired by cameras is a difficult task. The problem becomes harder if the goal is to recover the dynamics of the 3D world from the image flow. However, it is known that humans integrate and combine the information from different sensorial systems to perceive the world. For example, tlie human vision system has close links with the wstibular system to perform ...