Advanced Iterative Action Planning for Intelligent Real-Time Agents

Real-time Control of Intelligent Agents

In this demonstration we show a prototype system that allows users to issue commands to simulated actors in real-time. The interactive, real-time control is a form of Adjustable Autonomy [1, 2]. The real time control prototype, nicknamed “The Boss” is a sub-system of a complete actor specification system called EASE (End-user Actor Specification Environment). The Boss allows tasks, at varying l...

Real - Time Planning and Intelligent Control

Classical control systems utilize implicit analytical models and select inputs using numerical computation in order to achieve desired plant performance in real time. Artificial intelligence planning systems utilize explicit symbolic or logical models of discrete operations and construct consistent planned sequences using symbolic reasoning to achieve specified task goals. In the development of...

Reactive/Anytime Agents — Towards Intelligent Agents with Real-Time Performance

To face the requirements of complex and time-critical applications, several systems for reasoning about time and in time, have been proposed by the AI community: reactive systems provide reactivity to their environment at the cost of short-sighted decision making, and conversely, deliberative systems involve more sophisticated decision making at the cost of response times. Recently, several AI ...

Interaction between intelligent agent strategies for real-time transportation planning

In this paper we study the real-time scheduling of time-sensitive full truckload pickup-and-delivery jobs. The problem involves the allocation of jobs to a fixed set of vehicles which might belong to different collaborating transportation agencies. A recently proposed solution methodology for this problem is the use of a multiagent system where shipper agents offer jobs through sequential aucti...

Intelligent Agents for Real Time Data Mining in Telecommunications Networks