پروژه اکلیپس / 65027

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Task (ant colony)
For this task, you are free to experiment with object-oriented modelling. In particular,
familiarise yourself with the syntax of package and class diagrams. Use the Valkyrie tool
provided in the iLearn course and presented in the lecture f o r modelling and especially for Java
code generation. The task is based on the following textual description of the requirements:
1. We want to simulate an ant colony. Several different types of ants can coexist in our ant
colony. There are queens, males and workers. The workers can also be categorised as
follows
The following categories are available: Nursemaid, Sentry, Fighter, Explorer and Carrier.
Nursemaids and sentinels always stay in the nest. The ants are distinguished by their
type and a monotonically increasing number for this type. Depending on their type,
they can perform the following actions: move, mate, reproduce, ght, eat and deposit
pheromones. An ant decides independently what it wants to do as soon as the
doAction method is executed.
is conducted.
2. All ants belong to exactly one colony. Each colony has exactly one queen. A colony
with no living ants will disappear. There should be a map with a Cartesian grid of
variable size (starting with 10x10 fields). Each colony and each ant should be localised
on this map. Colonies cannot move, but ants of the right type can. The simulation is
turn-based. In each round, each ant has the opportunity to p e rf o r m exactly one
action with the help of doAction (including moving).
3. The queen has different states. After birth, she can move (on the ground, or by
flying in the air), still mate but not reproduce. After executing mate, she
immediately founds a colony (on the same field). It no longer lies or moves, but
begins to reproduce. It produces all types of workers (one per turn, the exact type of
distribution is up to you). With a probability of 1% she produces another queen instead of a
worker. There is a 3% probability that men will be created. Newly produced workers
have food for 100 turns in their stomachs, queens for 50 turns and queens for 2500
turns. Flying costs 3x as much food as crawling. An ant that has no food left at the end
of a round dies.4. Males and queens can either fl y or crawl away. Workers cannot c l imb . As soon
as a male or queen crawls onto a field occupied by a colony, he/she dies
immediately. When crawling over
Nothing happens when they lie down. If a queen and a male a r e on the same field
and in the same state (lying or crawling), they mate.
5. The ( nal) simulation starts with 1 queen and 5 males randomly distributed on the
fields. A new queen is added every 10 rounds as long as no colony has been created.
6. Explorers move straight ahead with a probability of 80%, to the left or right with a
probability of 10%. If they encounter a colony other than their own, they immediately
turn 180 degrees (e.g. instead of moving, they turn around if they realise that the
colony on the hex they are about to enter is not their own). Combatants work together.
If a fighter enters a square with a fighter from the same colony, they move forwards
together from this point onwards (with a probability of 60% straight ahead, 20% to the
left or right).
7. The rest of the design of the simulation is up to you, e.g. the implementation of the
scouting of foreign colonies by fighters, explorers who leave traces of pheromones to
lead carriers to food, etc.

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