Abstract With recent advancements in systems engineering and artificial intelligence, autonomous agents are increasingly being called upon to execute tasks that have normative relevance. These directly—and potentially adversely—affect human well-being demand of the agent a degree normative-sensitivity -compliance. Such norms principles typically social, legal, ethical, empathetic, or cultural (...

This paper describes the New Millennium Remote Agent (NMRA) architecture for autonomous spacecraft control systems. This architecture integrates traditional real-time monitoring and control with constraintbased planning and scheduling, robust multi-threaded execution, and model-based diagnosis and recon guration. We implemented a prototype autonomous spacecraft agent within the architecture and...

Autonomy is perplexing. It is recognisably and undeniably a critical issue in the field of intelligent agents and multi-agent systems, yet it is often ignored or simply assumed. For many, agents are autonomous by definition, and they see no need to add the tautologous prefix in explicitly considering autonomous agents, while for others autonomy in agents is an important yet problematic issue th...

This paper describes continued work on a decision system based on emotions or “affect.” The underlying premise is that humans evaluate actions in terms of how these impact their emotional state and that consequently being able to reproduce such affect based evaluations in autonomous agents is of value as it provides for an additional method, affect-based approach to making decisions. In previou...

Autonomous agents seem to be a promising approach for application in computermediated supply webs. Supporting the management and integration of the planning, scheduling, and controlling processes they can be used as "enterprise delegates". However, this leads to a problem with common autonomous agent architectures, as they are not designed to model complex decision behavior of entire companies....

Autonomous agents can be of assistance in detecting and reducing deception in computerized forums and chat-rooms. Although some deception detection methods exist they heavily rely on audio and visual information. Our focus is on text-based environments where there is no data of this type to use. We have developed DIG, an innovative machine learning-based autonomous agent, which joins a group of...