The BDI model forms the basis of much of the research on symbolic models of agency and
agent-oriented software engineering. While many variants of the basic BDI model have been …

It is claimed that, in the nascent 'Cognitive Era', intelligent systems will be trained using
machine learning techniques rather than programmed by software developers. A contrary …

An important issue in deploying an autonomous system is how to enable human users and
stakeholders to develop an appropriate level of trust in the system. It has been argued that a …

The continuous integration of software-intensive systems together with the ever-increasing
computing power offer a breeding ground for intelligent agents and multi-agent systems …

Abstract In Hierarchical Task Network (HTN) planning, compound tasks need to be refined
into executable (primitive) action sequences. In contrast to their primitive counterparts …

Recent work in multi-agent intention scheduling has shown that enabling agents to predict
the actions of other agents when choosing their own actions may be beneficial. However …

ABSTRACT Belief-Desire-Intention agents typically pursue multiple goals in parallel.
However the interleaving of steps in different intentions may result in conflicts, eg, where the …

A Digital Twin ideally manifests the same behaviour (in silico) of its physical counterpart.
While considerable attention has been paid to the development of Digital Twins for physical …

A fundamental feature of intelligent agents is their ability to deliberate over their goals.
Operating in an environment that may change in unpredictable ways, an agent needs to …

A key advantage the reactive planning approach adopted by BDI-based agents is the ability
to recover from plan execution failures, and almost all BDI agent programming languages …