Suppose we want to use an intelligent agent (computer program or robot) for performing
tasks for us, but we cannot or do not want to specify the precise task-operations. Eg we may …

In order for an agent to perform well in partially observable domains, it is usually necessary
for actions to depend on the history of observations. In this paper, we explore a {\it …

In this work, the goals of the ongoing research project “Development of an Intelligent Data
Analysis System for Knowledge Management in Environmental Data Bases” are presented …

Most reinforcement learning methods operate on propositional representations of the world
state. Such representations are often intractably large and generalize poorly. Using a deictic …

A robot working in a dynamic environment must be able to perform some kind of learning so
that it can adapt its behavior to the changing circumstances of the environment. The …

We propose to develop, implement, and test on a mobile robot an architecture for the design
of robust, flexible, robotic systems that is based on these theses. The result will be robots …

The Problem: Humans speak, and probably think, of the world as being made up of objects.
Individual objects have features, and sets of objects stand in various relations to one …

Real-world domains involve objects, and if artificial agents are to interact successfully with
our world, they will need to represent and reason about these objects, their attributes, and …

In this paper we present our exploratory ideas about the integration of agent technology with
other technologies to build specific e-tools for the disabled and for the new generation of …