RunTheModel - Football Penalty Shootout

Football Penalty Shootout

Challenge:
This model demonstrate the using of Fuzzy Logic System for decision making of agents. A case study of football penalty shootout has been implemented with agent based simulation.

Solution:
This simulation is a football penalty shootout between two Belief-Desire-Intention agents:
- Kicker is played by AI using Fuzzy Logic System for decision making.
- Goalkeeper can be automated, or played by you with left and right key.
The kicker make decisions using two Fuzzy Logic Systems, which were implemented using Juzzy (a Java-based toolkit for type-1 and type-2 fuzzy logic systems, https://juzzy.wagnerweb.net/).

Results:
The model shows results of shots, the distribution of kicker's target location.
To analysing the behaviour of kicker, you need to understand about three strategies of kicker. Kicker strategies are categorized in terms of the relationship between gaze location (where kicker looks) and ball target (where kicker shoots):
1. Keeper Independence (KI): the kicker looks and shoost on the same location.
2. Keeper Dependece (KD): the kicker looks at the keeper and when the keeper dives, the kicker tries
to shoot to the other side.
3. Opposite Independence (OI): the kicker looks at one side but shoot to the other.

Publishcation:
Comparison of Crisp Systems and Fuzzy Systems in Agent-Based Simulation: A case study of Soccer Penalties (UKCI 2013)
https://dx.doi.org/10.1109/UKCI.2013.6651287