… We assume that the modelling agent has some means to identify actions during the interaction,
eg by using domain-specific heuristics as is often done in the robot soccer domain (eg […

… general and powerful model to serve as a foundation for building general agents adaptable
to … language models (LLMs) pave a promising path for the development of general AI agents, …

… to seek a consensus in modelling languages, including tool support. Secondly, the influence
of model-driven engineering emphasizes the potential value of having models at the core of …

… We want to be able to model agents that are … model agents we design, agents that our agent
may encounter, and the environment. We also want to be able to model how long the agent …

… an agent-based model are given, along with a discussion of what constitutes an agent-based
model… (CA), microsimulation (MSM) and agent-based models are discussed along with the …

… We return to this discussion later when we consider issues in modelling of intelligent agents…
to objects (systems, models, agents) in which some sub-objects use models of other sub-…

… We begin with a discussion of model primitives focusing on agent attributes and behaviors.
We then turn briefly to how these models are constructed in practice and distinguish between …

… (The alternative is to model agents as acting randomly or irrationally, in a way that will not
optimize their welfare. Both have a place in some models.) Some economists, especially those …

… In [5, 11] we dealt with the motivational attitudes of agents. In … instance possible to model the
fact that an agent prefers some … So, it might for instance be used to model a statement like: 'If …

… This explanatory feature is one of the ways in which we can come to see how models act
as autonomous agents. In the examples of both nuclear and hydrodynamic models they …