+++ /dev/null
-#!/usr/bin/python -u
-
-#NOTE: The -u option is required for unbuffered stdin/stdout.
-# If stdin/stdout are buffered, the manager program will not recieve any messages and assume that the agent has timed out.
-
-'''
- vixen.py - A sample Stratego AI for the UCC Programming Competition 2012
-
- Written in python, the slithery language
-
- author Sam Moore (matches) [SZM]
- website http://matches.ucc.asn.au/stratego
- git git.ucc.asn.au/progcomp2012.git
-'''
-
-from basic_python import *
-from path import *
-
-
-
-class Vixen(BasicAI):
- " Python based AI, improves upon Asmodeus by taking into account probabilities, and common paths "
- def __init__(self):
- #sys.stderr.write("Vixen initialised...\n")
- BasicAI.__init__(self)
-
-
- #self.bombScores = {'1' : -0.9 , '2' : -0.8 , '3' : -0.5 , '4' : 0.1, '5' : 0.1, '6' : 0.3, '7' : 0.7, '8' : 1 , '9' : 0.6, 's' : 0}
- #self.bombScores = {'1' : -0.9 , '2' : -0.8 , '3' : -0.5 , '4' : -0.5, '5' : -0.4, '6' : -0.5, '7' : -0.2, '8' : 1.0 , '9' : -0.1, 's' : -0.2}
- self.suicideScores = {'1' : -0.5 , '2' : -0.4 , '3' : -0.35, '4' : -0.25, '5' : -0.2, '6' : 0.0, '7' : 0.1, '8' : -1.0 , '9' : 0.0, 's' : -0.4}
- self.killScores = {'1' : 1.0 , '2' : 0.9 , '3' : 0.9 , '4' : 0.8, '5' : 0.8, '6' : 0.8, '7' : 0.8, '8' : 0.9 , '9' : 0.7, 's' : 1.0}
- self.riskScores = {'1' : 0.0, '2' : 0.1, '3' : 0.2, '4': 0.4, '5': 0.6, '6': 0.7, '7':0.8, '8': 0.0, '9' : 1.0, 's' : 0.1}
-
-
-
-
-
- def MakeMove(self):
- #sys.stderr.write("Vixen MakingMove...\n")
- " Over-rides the default BasicAI.MakeMove function "
-
- moveList = []
- for unit in self.units:
- if unit.mobile() == False:
- continue
-
- scores = {"LEFT":0, "RIGHT":0, "UP":0, "DOWN":0}
-
-
- for target in self.enemyUnits:
- if target == unit:
- continue
- path = PathFinder().pathFind((unit.x, unit.y), (target.x, target.y), self.board)
- if path == False or len(path) == 0:
- continue
- #moveList.append({"unit":unit, "direction":path[0], "score":self.CalculateScore(unit, target, path)})
- scores[path[0]] += self.CalculateScore(unit, target, path)
-
- bestScore = sorted(scores.items(), key = lambda e : e[1], reverse=True)[0]
- moveList.append({"unit":unit, "direction":bestScore[0], "score":bestScore[1]})
-
-
- if len(moveList) == 0:
- print "NO_MOVE"
- return True
-
- moveList.sort(key = lambda e : e["score"], reverse=True)
- #sys.stderr.write("vixen - best move: " + str(moveList[0]["unit"].x) + " " + str(moveList[0]["unit"].y) + " " + moveList[0]["direction"] + " [ score = " + str(moveList[0]["score"]) + " ]\n")
- if moveList[0]["score"] == 0:
- print "NO_MOVE"
- return True
-
-
- print str(moveList[0]["unit"].x) + " " + str(moveList[0]["unit"].y) + " " + moveList[0]["direction"]
- return True
-
-
- def tailFactor(self, pathLength):
- #if pathLength >= len(self.tailFactors) or pathLength <= 0:
- # return 0.0
- #return self.tailFactors[pathLength]
- #return 0.5 * (1.0 + pow(pathLength, 0.75))
- return 1.0 / pathLength
-
-
- def CalculateScore(self, attacker, defender, path):
- p = move(attacker.x, attacker.y, path[0], 1)
-
-
- total = 0.0
- count = 0.0
- for rank in ranks:
- prob = self.rankProbability(defender, rank)
- if prob > 0.0:
- #sys.stderr.write(" " + str(attacker.rank) + " vs. " + str(rank) + " [" + str(prob) + "] score " + str(self.combatScore(attacker.rank, rank, len(path))) + "\n")
- total += prob * self.combatScore(attacker.rank, rank, len(path))
- count += 1
-
-
- #if count > 1:
- # total = total / count + self.riskScore(attacker.rank)
-
-
- total = total * self.tailFactor(len(path))
- #HACK - Prevent "oscillating" by decreasing the value of backtracks
- if len(path) > 1 and len(attacker.positions) > 1 and attacker.positions[1][0] == p[0] and attacker.positions[1][1] == p[1]:
- total = total / 100
- #sys.stderr.write("Total score for " + str(attacker) + " vs. " + str(defender) + " is " + str(total) + "\n")
- return total
-
- def combatScore(self, attackerRank, defenderRank, pathLength):
- if defenderRank == 'F':
- return 1.0
- elif defenderRank == 'B':
- return self.bombScore(attackerRank)
- elif defenderRank == 's' and attackerRank == '1' and pathLength == 2:
- return self.suicideScore(attackerRank)
- elif defenderRank == '1' and attackerRank == 's' and pathLength != 2:
- return self.killScore(attackerRank)
-
- if valuedRank(attackerRank) > valuedRank(defenderRank):
- return self.killScore(defenderRank)
- elif valuedRank(attackerRank) < valuedRank(defenderRank):
- return self.suicideScore(attackerRank)
- return self.killScore(defenderRank) + self.suicideScore(attackerRank)
-
- def killScore(self, defenderRank):
- return self.killScores[defenderRank]
-
- def bombScore(self, attackerRank):
- if attackerRank == '8':
- return 1.0
- else:
- return 0.0
-
- def suicideScore(self, attackerRank):
- return self.suicideScores[attackerRank]
-
- def riskScore(self, attackerRank):
- return self.riskScores[attackerRank]
-
- def rankProbability(self, target, targetRank):
- if targetRank == '+' or targetRank == '?':
- return 0.0
- if target.rank == targetRank:
- return 1.0
- elif target.rank != '?':
- return 0.0
-
- total = 0.0
- for rank in ranks:
- if rank == '+' or rank == '?':
- continue
- elif rank == 'F' or rank == 'B':
- if target.lastMoved < 0:
- total += self.hiddenEnemies[rank]
- else:
- total += self.hiddenEnemies[rank]
-
- if total == 0.0:
- return 0.0
- return float(float(self.hiddenEnemies[targetRank]) / float(total))
-
-
-
-
-
-
-
-if __name__ == "__main__":
- vixen = Vixen()
- if vixen.Setup():
- while vixen.MoveCycle():
- pass
-
git.ucc.asn.au / progcomp2012.git / blobdiff
UCC git Repository :: git.ucc.asn.au