Sentence examples for agents in the models from inspiring English sources

Additionally, we explored potential interactions between medication selection (ABA vs anti-TNF) and number of prior anti-TNF agents in the models.

Agents in the model generally do not predict.

Malleson's [39] work did not use guardian agents in the model.

The formula in Eq. (10) is rooted in criminological theory and incorporates the heterogeneous attributes of agents in the model.

All agents (including guardian agents) in the model use belief learning and the agents have heterogeneous attributes that affect their decision-making and the environment.

The existence of informational asymmetries among the agents in the model necessitates financial intermediation in the economy.

The Q-learning approach only learns rewards/costs from past crime events and assumes some global communication of these rewards and costs by the agents in the model.

The agents in the model have a variety of attributes that can take on any double precision value as well as individualized lists, Boolean values, etc.

ABMs are highly flexible to incorporate detailed individual properties, spatially heterogeneous distributions and localized interactions of the agents in the model.

Based on DSIT, the satisfaction radius for the lower-limit high-density STEM model is modified to reflect the greater distance of other STEM agents in the model space; STEM agents have a one-patch satisfaction radius and Non-STEM agents retain a three-patch satisfaction radius.

Table 1 Model parameters and their range of values that were explored in Phase-I of simulation experiments Parameter Values explored Description num-agents 1000, 2500, 5000, 7500, 10,000 The number of agents in the model love-radar 1, 2, 3 The diameter of an agent's ego network through which potential partners are sought.