Agent-based modeling and simulation (ABMS) is a new approach to modeling systems
comprised of autonomous, interacting agents. ABMS promises to have far reaching effects …

One of the original goals of artificial intelligence (AI) research was to create machines with
very general cognitive capabilities and a relatively high level of autonomy. It has taken the …

The ability to achieve oneʼs goals is a defining characteristic of intelligent behaviour. A
great many existing theories, systems and research programmes address the problems …

The ability of production companies to rapidly develop and deploy effective and efficient
control systems is critical for success in the consumer-driven environment of contemporary …

The EPSRC's Principles of Robotics advises the implementation of transparency in robotic
systems, however research related to AI transparency is in its infancy. This paper introduces …

Behaviour trees provide the possibility of improving on existing Artificial Intelligence
techniques in games by being simple to implement, scalable, able to handle the complexity …

Computational experiments have emerged as a valuable method for studying complex
systems, involving the algorithmization of counterfactuals. However, accurately representing …

This paper presents a development methodology for complex robotic systems using the
behavior-based control architecture iB2C (integrated Behavior-Based Control). It is shown …

Robotic agents that interact with humans and perform complex, everyday tasks in natural
environments will require a system to autonomously organize their behavior. Current …

The development of artificial intelligence (AI) systems has to date been largely one of
manual labor. This constructionist approach to AI has resulted in systems with limited …