Ejemplo n.º 1
0
def deviation_from_centroid(agent,coord,agents):
    # doesn't count the agent themselves in the centroid
    agents_in_tile=agents_in_cell(coord,agents)
    if len (agents_in_tile)==1:return 0
    list_of_phenotypes=[other_agent.phenotype for other_agent in agents_in_tile if other_agent!=agent]
    centroid=centroidnp(list_of_phenotypes)
    return  euclidean_distance(centroid,agent.phenotype)
Ejemplo n.º 2
0
def deviation_from_centroid(agent, coord, agents):
    # doesn't count the agent themselves in the centroid
    agents_in_tile = agents_in_cell(coord, agents)
    if len(agents_in_tile) == 1: return 0
    list_of_phenotypes = [
        other_agent.phenotype for other_agent in agents_in_tile
        if other_agent != agent
    ]
    centroid = centroidnp(list_of_phenotypes)
    return euclidean_distance(centroid, agent.phenotype)
Ejemplo n.º 3
0
def run_simulation(starting_pop=25):
    
    if GRAPHICS_ON: initialize_screen()

    initial_strategy=np.zeros((7,13))
    initial_strategy[3][5]=100
    initial_strategy[4][6]=70
    initial_strategy[6][0]=20
    initial_phenotype=(WMAX/4*3,WMAX/4*3,WMAX/4*3,WMAX/4*3,WMAX/4*3,WMAX/4*3,WMAX/4*3,WMAX/4*3,WMAX/4*3)                  
    print initial_strategy
    
    #generate agents
    for i in range(starting_pop):
        spawn_location=r.choice(COORDINATES)
        initial_direction=r.choice(DIRECTIONS)
        AGENTS.append(Agent(parent_genes=initial_strategy,
                        initial_location=spawn_location,
                         initial_energy=INITIAL_ENERGY, #p0007
                         phenotype=initial_phenotype,
                         parent_direction=initial_direction))
    #spawn initial food supply
    for coord in COORDINATES:
        #TODO: determine how to distribute the initial supply
        RESOURCES[coord]=FOOD_SIZE
    
    tick=1
    print "total energy: ", tally_energy(AGENTS,RESOURCES,COORDINATES)
    print "total agents: ", len(AGENTS)
    while tick :
        #graphics
        if GRAPHICS_ON:
            pygame.display.update()
            for event in pygame.event.get():
                if event.type == pygame.QUIT:
                     pygame.quit(); sys.exit();
        
        tick+=1
        if tick%FOOD_FREQUENCY==0: #p0004
            for i in range(FOOD_COUNT): #p0005
                coord=r.choice(COORDINATES)
                RESOURCES[coord]+=FOOD_SIZE #p0006
                if GRAPHICS_ON: draw_food(coord)        
                
        for agent in AGENTS:
            if count_agents(agent.location,AGENTS)>2:
                candidates=agents_in_cell(agent.location,AGENTS)
                targets= [target for target in candidates if target != agent]
                
                partner=r.choice(targets)
                kinship_to_partner=determine_kinship_to_partner(agent,partner,WMAX,K)
            elif count_agents(agent.location,AGENTS)>1:
                candidates=agents_in_cell(agent.location,AGENTS)
                targets= [target for target in candidates if target != agent]
                partner=targets[0]
            else:
                partner=agent
                kinship_to_partner=0 #0 is high
            directional_resources= [bool(RESOURCES[agent.location])]+[ bool(RESOURCES[agent.forwards]),bool(RESOURCES[agent.right]),bool(RESOURCES[agent.left])]
            directional_agents= [count_agents(agent.location,AGENTS)]+[ count_agents(agent.forwards,AGENTS),count_agents(agent.right,AGENTS),count_agents(agent.left,AGENTS) ]
            kinship_with_locals=deviation_from_centroid(agent,agent.location,AGENTS)
            
            # p0001 , p0003
            input=np.transpose(np.matrix([K,  float(agent.energy)/ENERGY_MAX,float(ENERGY_MAX-agent.energy)/ENERGY_MAX , kinship_with_locals ,kinship_to_partner] +directional_resources+directional_agents))
            #print input 
            output=agent.genes*input
            #print output
            top_choice=max(output)
            indices = [i for i, x in enumerate(output) if x==top_choice]
            action=r.choice(indices)
            #print indices,action
            if action ==0: agent.rest()
            elif action ==1: agent.turn(right=True)
            elif action ==2: agent.turn(right=False)
            elif action==3: agent.feed()
            elif action==4: agent.move_forward()    
            elif action==5: agent.attack(partner) 
            elif action==6: agent.divide()     
            else:print "error"
            
        if tick%50==0:
            if GRAPHICS_ON or LOG_TO_CONSOLE>1:
                agent_energy, available_energy=tally_energy(AGENTS,RESOURCES,COORDINATES)
                if GRAPHICS_ON: draw_world_stats((len(AGENTS),round(agent_energy,2),round(available_energy,2),tick/100.0))  #drawing

                print "total agent energy: ", agent_energy
                print "total agents: ", len(AGENTS)
                print "available energy: ", available_energy
            if  GRAPHICS_ON or LOG_TO_CONSOLE>0:  
                print tick
            if len(AGENTS)==0:tick=False