X-Git-Url: https://git.ucc.asn.au/?p=progcomp2012.git;a=blobdiff_plain;f=home%2Fprogcomp%2Fagents%2Fasmodeus%2Fasmodeus.py;fp=home%2Fprogcomp%2Fagents%2Fasmodeus%2Fasmodeus.py;h=29c50a29a2f707b31f323458cea0230c6d50f826;hp=0000000000000000000000000000000000000000;hb=e3b15cd5dea739f7523920d83bda592db95a7b93;hpb=7f7bc05439b70b3139086086608996de3c9ae2ed

diff --git a/home/progcomp/agents/asmodeus/asmodeus.py b/home/progcomp/agents/asmodeus/asmodeus.py
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+++ b/home/progcomp/agents/asmodeus/asmodeus.py
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+#!/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.
+
+'''
+ asmodeus.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
+ email progcomp@ucc.asn.au or matches@ucc.asn.au
+ git git.ucc.asn.au/progcomp2012.git
+'''
+
+from basic_python import *
+from path import *
+
+
+
+class Asmodeus(BasicAI):
+	" A slightly more advanced python based AI who calculates the optimum score for each move "
+	def __init__(self):
+		#sys.stderr.write("Asmodeus initialised...\n")
+		BasicAI.__init__(self)
+		self.riskScores = {'1' : 0.01 , '2' : 0.05 , '3' : 0.15 , '4' : 0.2, '5' : 0.2, '6' : 0.25, '7' : 0.25, '8' : 0.01 , '9' : 0.4, 's' : 0.01}
+		self.bombScores = {'1' : 0.0 , '2' : 0.0 , '3' : 0.05 , '4' : 0.1, '5' : 0.3, '6' : 0.4, '7' : 0.5, '8' : 1 , '9' : 0.6, 's' : 0.1}
+		self.flagScores = {'1' : 1.0 , '2' : 1.0 , '3' : 1.0 , '4' : 1.0, '5' : 1.0, '6' : 1.0, '7' : 1, '8' : 1.0 , '9' : 1.0, 's' : 1.0}
+		self.suicideScores = {'1' : 0.0 , '2' : 0.0 , '3' : 0.0, '4' : 0.0, '5' : 0.0, '6' : 0.05, '7' : 0.1, '8' : 0.0 , '9' : 0.0, 's' : 0.0}
+		self.killScores = {'1' : 1.0 , '2' : 0.9 , '3' : 0.8 , '4' : 0.5, '5' : 0.5, '6' : 0.5, '7' : 0.4, '8' : 0.9 , '9' : 0.6, 's' : 0.9}	
+
+	def MakeMove(self):
+		#sys.stderr.write("Asmodeus MakingMove...\n")
+		"Over-rides the default BasicAI.MakeMove function"
+
+		moveList = []
+
+		for unit in self.units:
+			if unit.mobile() == False:
+				continue
+
+			for enemy in self.enemyUnits:
+				if enemy == unit:
+					continue
+				path = PathFinder().pathFind((unit.x, unit.y), (enemy.x, enemy.y), self.board)
+
+				#sys.stderr.write("Computed path: " + str(path) + "\n")
+				if path == False or len(path) <= 0:
+					continue
+				score = self.CalculateScore(unit, enemy)
+
+				score = float(score / float(len(path) + 1))
+				moveList.append([unit, path, enemy, score])
+
+
+		
+		if len(moveList) <= 0:
+			#sys.stderr.write("NO Moves!\n")
+			return BasicAI.MakeMove(self)
+
+		moveList.sort(key = lambda e : e[len(e)-1], reverse=True)
+
+		#sys.stderr.write("Chosen move is: " + str(moveList[0][0].x) + " " + str(moveList[0][0].y) + " " + moveList[0][1][0] + " (targeting enemy with rank " + moveList[0][2].rank + " at position " + str(moveList[0][2].x) + " " + str(moveList[0][2].y) + " (my rank " + moveList[0][0].rank+")\n")
+		print str(moveList[0][0].x) + " " + str(moveList[0][0].y) + " " + moveList[0][1][0]
+		return True	
+
+	def CalculateScore(self, attacker, defender):
+		if defender.rank == '?':
+			return self.riskScores[attacker.rank]
+		elif defender.rank == 'B':
+			return self.bombScores[attacker.rank]
+		elif defender.rank == 'F':
+			return self.flagScores[attacker.rank]
+		elif defender.valuedRank() < attacker.valuedRank() or defender.rank == '1' and attacker.rank == 's':
+			return self.killScores[defender.rank]
+		else:
+			return self.suicideScores[attacker.rank]
+		
+
+