90
X-Machines for Agent-Based Modeling: FLAME Perspectives
FIGURE 5.2: Initial distribution of sugar (left) and with agents (right).
Adapted from [21].
A g e n t
V i e w i n g d i r e c t i o n s
FIGURE 5.3: Agent perception. They can see north, south, east and west.
3. If sugar is not found, randomly move to another square.
Each time the agent moved, a small amount of its stored sugar was used
by metabolism. Eventually, having used up all the sugar, the agents would die
and disappear from the scenario.
Sugarscape allowed multiple research questions to be investigated by
adding simple extensions to the model. This made it an ideal model replicating complex real societies. Researchers [102, 118] have extended their models
with
Measuring wealth distribution. Sugars collected by agents were assessed
to see what portion of the society was able to capture the most sugar.
Disease propagation. Diseased agents are introduced during the simulation
to see it spread across the landscape.
X-Machines for Agent-Based Modeling: FLAME Perspectives
FIGURE 5.2: Initial distribution of sugar (left) and with agents (right).
Adapted from [21].
A g e n t
V i e w i n g d i r e c t i o n s
FIGURE 5.3: Agent perception. They can see north, south, east and west.
3. If sugar is not found, randomly move to another square.
Each time the agent moved, a small amount of its stored sugar was used
by metabolism. Eventually, having used up all the sugar, the agents would die
and disappear from the scenario.
Sugarscape allowed multiple research questions to be investigated by
adding simple extensions to the model. This made it an ideal model replicating complex real societies. Researchers [102, 118] have extended their models
with
Measuring wealth distribution. Sugars collected by agents were assessed
to see what portion of the society was able to capture the most sugar.
Disease propagation. Diseased agents are introduced during the simulation
to see it spread across the landscape.