Created
November 2, 2018 04:46
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minimal ai scores -10 on average
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| from Agent import Agent | |
| from collections import deque | |
| from enum import Enum | |
| class MyAI ( Agent ): | |
| class Action (Enum): | |
| CHECK_FOR_GOLD = 1 | |
| def __init__ ( self ): | |
| self.actionList = deque( [] ) | |
| self.perceptArray = [] | |
| def continueActionSequence( self, glitter ): | |
| action = self.actionList.popleft() | |
| if action == self.Action.CHECK_FOR_GOLD: | |
| self.check_gold(glitter) | |
| action = self.actionList.popleft() | |
| return action | |
| def check_gold(self,glitter): | |
| if glitter: | |
| self.actionList.appendleft(Agent.Action.GRAB) | |
| def minimalAction( self ): | |
| self.actionList.append( Agent.Action.FORWARD ) | |
| self.actionList.append( self.Action.CHECK_FOR_GOLD ) | |
| self.turn_around() | |
| self.actionList.append( Agent.Action.FORWARD ) | |
| # back in start tile | |
| self.actionList.append( Agent.Action.TURN_RIGHT ) | |
| self.actionList.append( Agent.Action.FORWARD ) | |
| self.actionList.append( self.Action.CHECK_FOR_GOLD ) | |
| self.turn_around() | |
| self.actionList.append( Agent.Action.FORWARD ) | |
| # back in start tile | |
| self.exit_world() | |
| return self.actionList.popleft() | |
| def turn_around(self): | |
| self.actionList.append( Agent.Action.TURN_LEFT ) | |
| self.actionList.append( Agent.Action.TURN_LEFT ) | |
| def kill_wumpus(self): | |
| self.actionList.append(Agent.Action.SHOOT) | |
| self.exit_world() | |
| def exit_world(self): | |
| self.actionList.append(Agent.Action.CLIMB) | |
| def getAction( self, stench, breeze, glitter, bump, scream ): | |
| if len( self.actionList ) > 0 : | |
| return self.continueActionSequence(glitter) | |
| else : | |
| if stench: | |
| self.kill_wumpus() | |
| return self.actionList.popleft() | |
| elif breeze: | |
| self.exit_world() | |
| return self.actionList.popleft() | |
| else: | |
| # explore two adjacent squares | |
| return self.minimalAction() | |
| ''' | |
| if actionSequence | |
| return actionSequence.pop() | |
| else: | |
| Generate Action Sequence based on current knowledge/belief | |
| Strategy: | |
| Agent builds | |
| Agent "explores" unvisited rooms (tile X,Y that agent is currently in but has not visited before). | |
| Exploring a room changes current knowledge/belief state. | |
| ''' |
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