Planning is the model-based approach to autonomous behavior where the agent behavior is
derived automatically from a model of the actions, sensors, and goals. The main challenges …

Over the last few years there has been a revival of interest in the idea of least-commitment
planning with a number of researchers returning to the partial-order planning approaches of …

Powerful domain-independent planners have been developed to solve various types of
planning problems. These planners often require a model of the acting agent's actions …

In this paper we describe COLIN, a forward-chaining heuristic search planner, capable of
reasoning with COntinuous LINear numeric change, in addition to the full temporal …

Modern complex games and simulations pose many challenges for an intelligent agent,
including partial observability, continuous time and effects, hostile opponents, and …

To operate autonomously in complex environments, an agent must monitor its environment
and determine how to respond to new situations. To be considered intelligent, an agent …

Considerable effort has been spent extending the scope of planning beyond propositional
domains to include, for example, time and numbers. Each extension has been designed as …

Powerful domain-independent planners have been developed to solve various types of
planning problems. These planners often require a model of the acting agent's actions …

Many real world problems involve hybrid systems, subject to (continuous) physical effects
and controlled by (discrete) digital equipments. Indeed, many efforts are being made to …

This paper describes three approaches to enabling a severely computationally limited
embedded scheduler to consider a small number of alternative activities based on resource …