Evolutionarily Emergent Foraging Strategies for Active Agents
Typ
Examensarbete för masterexamen
Program
Publicerad
2022
Författare
Jansson, Emil
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Microbes, insects, birds, and mammals. Many forms of life depend on the search for
food to survive. One search strategy that has been observed in nature is a levy flight,
where an animal moves from area to area in long stretches to then explore the local
environment. Levy flights can be described as statistical mathematical phenomena
where the steps lengths of the agent’s movement follow a heavy tailed distribution.
Earlier studies have shown that in certain environments, a middle ground between
ballistic Levy flights and Brownian motion is more efficient than the outlier strategies.
This thesis expands on those results by investigating which strategies perform
best in an environment where local conditions change as one moves through space.
We find that using a strategy that adapts to local conditions is not necessarily efficient
if it does not consider the changing nature of the environment. We also let a
neural network evolve using a genetic algorithm and let it optimize the movement
of an agent which leads to efficient searches.
Beskrivning
Ämne/nyckelord
earch strategies , active agents , changing environment , genetic algorithm