summaryrefslogtreecommitdiff
path: root/src/simulation/game.js
blob: ac6b2fdd545beb900dd03fb87bb2b9c3e0e8658f (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
'use strict';


import { random_choice, apply } from '../util.js';
import { senses } from './senses.js';
import { actions } from './actions.js';
import { lattice_rules } from './lattice_rules.js';
import { validity } from './validity.js';


function is_wall(size, x, y) {
  return (
    x === 0 || x === size-1 ||
    y === 0 || y === size-1
  );
}
function is_corner(size, x, y) {
  const subsize = Math.floor(size/3);
  return (
    (x < subsize || x >= 2*subsize) &&
    (y < subsize || y >= 2*subsize)
  );
}
function get_team(size, x, y) {
  const subsize = Math.floor(size/3);
  if (y < subsize) {
    return 0;
  } else if (x >= 2*subsize) {
    return 1;
  } else if (y >= 2*subsize) {
    return 2;
  } else if (x < subsize) {
    return 3;
  } else {
    return undefined;
  }
}

export function setup_board(size) {
  const lattice = [...Array(size)]
    .map(() => [...Array(size)])
    .map((row, y) => row.map((_, x) => {
      if (is_wall(size, x, y)) {
        return { type: 'immutable', flags: {} };
      } else if (is_corner(size, x, y)) {
        return { type: 'immutable', flags: {} };
      } else {
        const team = get_team(size, x, y);
        return { type: 'empty', flags: { team } };
      }
    }));
  return lattice;
}


export function create_world(size, teams) {
  const lattice = setup_board(size);

  const agents = teams.reduce(
    (agents, team, team_num) => {
      const team_cells = lattice.map((row, y) => row.map((cell, x) => [x, y, cell])).flat()
        // only check cells with the right team
        .filter(([x, y, cell]) => cell.type === 'empty' && cell.flags.team === team_num)
      return agents.concat(team.reduce(
        (acc, agent) => {
          const available_cells = team_cells.filter(([x, y, cell]) => acc.reduce(
            (occupied, a) => occupied && ((a.x !== x) || (a.y !== y)),
            true
          ))
          const [x, y, ..._] = random_choice(available_cells);
          const orientation = random_choice([ 'n', 'e', 's', 'w' ]);
          return [...acc, {...agent, x, y, flags: { ...agent.flags, orientation } }];
        },
        []
      ));
    },
    []
  ).flat();

  return { lattice, lattice_rules, agents, actions, senses, validity };
};


// team structure:
// {
//   agents
//   genome
//   score
// }


let agent_id = 0;

export function create_agent(genome, n_internal) {
  return {
    id: agent_id++, // !!!! side effect !!!!
    net: parse_genome,
    state: [...Array(n_internal)].map(_ => (2*Math.random()) - 1),
  }
}


const N_INPUT = senses.reduce((acc, sense) => acc + sense.size, 0);
const N_OUTPUT = actions.reduce((acc, action) => acc + action.size, 0);
const MAX_MUTATIONS = 15;


export function create_team(size, genome_size, n_internal) {
  const [..._, genome] = apply(
    s => mut_genome_insert(s, 4, Math.random(), Math.random(), Math.random()),
    genome_size,
    [N_INPUT, n_internal, N_OUTPUT, []],
  );

  const agents = [...Array(size)].map(_ => create_agent(genome, n_internal));
  return { agents, genome, score: 0 };
}


export function child_team(team, keep=Math.floor(team.size/2)) {
  const n_internal = get_size(team.genome) - N_INPUT - N_OUTPUT;
  const genome = apply(
    s => mutate_genome(s, 4),
    Math.floor(MAX_MUTATIONS * Math.random()),
    [N_INPUT, n_internal, N_OUTPUT, team.genome]
  );

  const old_agents = [...Array(team.agents.length - keep)].reduce(
    (acc, _) => {
      const idx = Math.floor(Math.random() * acc.length);
      acc.splice(idx, 1);
      return acc;
    },
  );
  const new_agents = [...Array(team.agents.length - keep)].map(_ => create_agent(genome, n_internal));
  const agents = [old_agents, new_agents].flat();

  return { agents, genome, score: 0 };
}


// game structure:
// {
//   world: world
//   team_indices: number[]
//   time: number
// }


export function create_game(teams, team_indices) {
}