Sentence examples for models an agent from inspiring English sources

A Markov decision process models an agent, which interacts with its environment, taking as input the states of the environment and generating actions as outputs.

In local average models, an agent's outcome (or choice) is influenced by the average outcome of its neighbours8.

Our approach is rather closer to the one specified in (Bae et al. 2012) where a hierarchy of models composed of an action model, an agent model and a multi-agents model has been defined.

A novel way to model an agent interacting with an environment is introduced, called an Enactive Markov Decision Process (EMDP).

In our model, an agent's decision to cooperate or defect depends on a balance between utilities and the current strength of its collaboration relationships.

Real-time search provides an attractive framework for intelligent autonomous agents, as it allows us to model an agent's ability to improve its performance through experience.

In this paper, we propose a conceptual framework for the translation of DEMO models into an agent based simulation.

The following assumptions form the basis of the "minimal" model: An agent i holds a self-appreciation (kappa _{i i }).

We model the agents representing the LPs using a "base" class of an LP agent that allows us to use a generic behavioral model of an agent that can be extended further to model more details of LP behavior.

In these models an independent agent is created that has the ability to take decisions based upon specific inputs and to interact with the environment and other agents.

We introduce LARMA, a LAnd Rental MArket model embedded within the Pampas Model (PM), an agent-based model of Argentinean agricultural systems.