Sentence examples for agent actions from inspiring English sources

This article investigates the relationship between simulating individual agent actions and generating reliable emergent conditions (e.g. congestion).

In this research, a new computational model is introduced to map the environmental events and agent actions to emotional states.

This sub section details the agent actions (Figure 5) that occur when the interface is adapted to put forward an intervention or feedback message to the older person.

In the case of an agent based model, agent actions (e.g. alternative selections) produce marks (e.g. indicators of presence or rewards received) in a medium (e.g. the environment).

If we can analyze agent actions, strategies etc to predict its moves, then we can definitely give advice about different moves to agents.

Formally, the model consists of a discrete set of environment states ({mathcal {S}}), a discrete set of agent actions ({mathcal {A}}), and a set of scalar reinforcement signals, typically [0, 1] or ({mathbb {R}}).

With discrete event scheduling, each agent action occurs at a unique time.

Missing values are provided by examining Agent, Action and Patient terms individually, in that order.

Once the appropriate intervention has been selected, a record is stored (G) in the agent action data store.

When feedback is requested by the person, this agent action data is analysed, patterns detected and appropriate feedback is selected (H).

Details of the intervention type, time and how many times it occurred are stored in an agent action data store (F).