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 …

The abductive theory of method (ATOM) was recently proposed to describe the process that
scientists use for knowledge discovery. In this paper we propose an agent architecture for …

Building computational models of agents in dynamic, partially observable and stochastic
environments is challenging. We propose a cognitive computational model of sugarcane …

A very well known reasoning model in Artificial Intelligence is the BDI (Belief-Desire-
Intention). A BDI agent should be able to choose the more rational action to be done with …

Human relationships are complex processes that often involve following certain rules that
regulate interactions and/or expected outcomes. These rules may be imposed by an …

The design of cognitive agents involves a knowledge representation (KR) to formally
represent and manipulate information relevant for that agent. In practice, agent programming …

Agent programming is mostly a symbolic discipline and, as such, draws little benefits from
probabilistic areas as machine learning and graphical models. However, the greatest …

In recent years, the importance of vagueness and uncertainty in the messages exchanged
between agents has been highlighted, mainly due to the ubiquitous nature of the (artificial or …

A key problem in Belief-Desire-Intention agents is how an agent progresses its intentions, ie,
which plans should be selected and how the execution of these plans should be interleaved …