Max-aggression strategy with unconditional attack: every unit charges the
nearest enemy, never retreats, and presses engagements within attack range.
Fixed self-collision bug by reserving all starting positions and freeing
them as bots move away. Falls back to enemy core rushing when no enemies
are visible, with exploratory spreading when no targets exist.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Two bugs in the Opportunist bot strategy:
1. retreatMove: when a lone bot is surrounded by enemies with no nearby
allies, all passable directions scored below the -1 initial threshold
due to flat enemy penalties. Fixed by scoring distance-from-enemies
as a positive value (further = better) instead of a flat penalty,
ensuring the bot always picks the safest direction.
2. attackMove: BFS could never reach enemy targets because the passable
function excluded all enemy positions. The target IS an enemy, so the
path was unreachable. Fixed by wrapping passable to treat the target
position as passable during attack pathfinding.
All 19 tests now pass, including TestComputeMovesRetreat and
TestComputeMovesNearbyAdvantageAttack.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
All units rush the nearest enemy core via BFS, ignoring enemy units
and economy. No perimeter defense — full commitment to core destruction.
Targets persist across turns for consistent pathing.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Mobile archetype that never camps. Picks a target region every ~20 turns
(random corner, opposite side, or enemy core), migrates all units toward
it, briefly engages enemies on arrival, then relocates again.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Implements a hit-and-run strategy that scouts for lone enemy bots,
attacks from flanking positions, then retreats after 1-2 engagement
turns to avoid reinforcements. Defends own core when under pressure.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Formation-based combat bot that moves all units as a coordinated group:
- Circular mean centroid computation (toroidal-aware)
- Hexagonal packing formation slots with greedy slot assignment
- Rally mode when mean distance from centroid exceeds 3 cells
- Scored movement: formation cohesion + advance toward enemy concentration
- Attack range bonus when engaging enemies in formation
- Self-collision avoidance via claimed destination tracking
- 10 unit tests covering all core algorithms
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Exploration-maximizing bot that maintains per-cell last-seen tick counters,
moves toward the stalest unobserved territory using forward-cone staleness
scoring, flees from enemies within extended combat range, and distributes
multiple bots across angular zones for maximum map coverage.
Archetype: Low Aggression, Low Economy, High Exploration, Low Formation.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
PacifistBot never attacks; it survives by maximizing distance from enemies
and retreating toward own core when cornered. Pure evasion strategy that
wins via opponent elimination by third parties.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Economy-maximizing bot that prioritizes energy collection and spawning
while avoiding combat entirely. Seeks nearest uncontested energy via BFS,
flees enemies within 3 cells, avoids contested energy tiles, and stays
near active cores for maximum spawn throughput. Includes 12 unit tests.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Core-defense strategy: bots patrol evenly-spaced slots around their
own core, intercept enemies entering the perimeter radius, and never
chase past the perimeter. Falls back to energy gathering when cores
are lost.
MAP-Elites profile: Low Aggression, Low Economy, Low Exploration, High Formation.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
