We present a method for the generation of real-time dynamic autonomous agents in game environments. The method is based on the use of dynamical systems theory which allows us to express intelligent behaviors using systems of differential equations. These differential equations operate at two distinct levels. At one level, the differential equations governing movement comprise a carefully design...

The intelligent use of tools is a general and important human competence that AI research has not yet examined in depth. Other fields have studied the topic, however, with results we can compile into a broad characterization of habile (tool-using) agents. In this paper we give an overview of research on the use of physical tools, using this information to motivate the development of artificial ...

Human-centered automation (HCA) maximizes the goals of humans by supporting a full range of interactions between humans and autonomous systems. The key goal of this research is to minimize the necessity for human interaction, but maximize the capability to interact. Within HCA we de ne adjustable autonomy as the ability of autonomous systems to operate with dynamically varying levels of indepen...

Although many researchers feel that an autonomous system, capable of behaving appropriately in an uncertain environment, must have an internal representation (world model) of entities, events and situations it perceives in the world, research into active vision, inattentional amnesia has implications for our views on the content of represented knowledge and raises issues concerning coupling kno...

This chapter discusses how autonomous agents can adopt organizational rules into their reasoning process. Agents in an organization need to coordinate their actions in order to reach the organizational goals. Organizational models specify the desired behaviour in terms of roles, relations, norms, and interactions. We have developed a method to translate norms into event-processing rules of the ...

Identifying situations in which power exists is an ability that agents can exploit when they must interact with one another. In particular, agents can take advantage of empowered situations to make other agents satisfy their goals. The aim of this paper is to identify situations in which power might exist through the roles agents play in a society as well as the powers that emerge from their ow...

This paper treats the pathfinding of autonomous agents from a given start point to a set of targets. It mainly focuses on continuous domains with continuous state and action spaces of the agents. In these continuous domains a technique called Cross Entropy Online Planning can be deployed by the agents to plan and assess sequences of actions in order to reach their goals. However, this technique...

In Chapter 17 we started the discussion about autonomous agents as part of the situated cognition approach in AI, and we develop this further here focussing on learning. An agent is autonomous when it is able to function on its own in a complex and changing environment. We will call an agent adaptive when, in addition, it is able to improve its behaviour to make it (more) appropriate for its en...

gence derives from our ability to manipulate our environment through collaborative endeavors. Most extant computer programs and interfaces do little to take advantage of such manifestly human talents and interests, leaving broad avenues of human-computer communication unexplored. Although it is still considered controversial, there are many who believe the harnessing of social communication to ...

Submission: original and also intended for post-proceedings. Abstract In describing the interactions between agents we can take either a global view, where the set of all agents is seen as one big system, or a private view, where the system is identiied with a single agent and the other agents form a part of the environment. Often a global view is taken to x some protocols (like contract net) f...