Each loris steers toward an assigned flower with a speed cap that drops as canopy darkness rises — lorises are famously slow, cautious nocturnal foragers, and this model treats darkness as a caution factor rather than a visibility problem. Every animal burns energy proportional to its speed plus a small resting metabolism; reaching a flower refills energy and scores a "find". An animal that hits zero energy stops moving and rests until it recovers enough to forage again.
The flower memory slider controls target reselection: at high memory an animal picks the nearest flower it has not visited recently (efficient search, few wasted trips); at low memory it picks the next flower almost at random, including ones it just drained, wasting travel on empty stops. This mirrors the real trade-off described in the 3D lab's hint — better memory raises search success at a given pace.
- Ring around a flower — nectar level; it refills slowly over time after being drained.
- Line from a loris to its flower — current foraging target.
- Dimmed loris — resting (energy at zero, waiting to recover).