Optimal Foraging, the Marginal Value Theorem.¶
Charnov, E. L. (1976). Optimal Foraging, the Marginal Value Theorem. Theoretical Population Biology, 9(2), 129-136.
Cited by¶
4 citations across 4 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Goal Shielding
- And the foraging patch-abandonment trade-off is the same exploration-exploitation balance that drives bandit algorithms and resource-pool sizing.
This sourceThe patch-leaving (abandonment) rule formalizing the exploration–exploitation trade-off underlying bandit algorithms and resource-pool sizing.
- And the foraging patch-abandonment trade-off is the same exploration-exploitation balance that drives bandit algorithms and resource-pool sizing.
- Greedy Algorithm
- In foraging and evolution it is the marginal value theorem and incremental fitness optimisation that locks populations onto local fitness peaks — a structural-greedy outcome of natural selection without lookahead.
This sourceThe marginal-value patch-leaving rule, a locally-optimizing (greedy) foraging policy; with incremental fitness optimization it illustrates selection-without-lookahead locking onto local peaks.
- In foraging and evolution it is the marginal value theorem and incremental fitness optimisation that locks populations onto local fitness peaks — a structural-greedy outcome of natural selection without lookahead.
- Information Scent
- Library and catalogue navigation. Users follow scent through controlled vocabularies, classification numbers, and finding aids; catalogue principles are partly scent design. Wayfinding and architectural signage. Hospital, airport, and transit signage are scent systems for physical navigation, each junction a decision point with cues predicting which direction reaches the goal. Animal foraging. The source case: animals navigate patchy environments by reading proximate cues that predict patch value, and optimal-foraging theory supplies the decision rule that information-foraging theory imported.
This sourceStates the marginal-value theorem: a forager should leave a depleting patch when its intake rate drops to the habitat-wide average, accounting for travel time.
- Library and catalogue navigation. Users follow scent through controlled vocabularies, classification numbers, and finding aids; catalogue principles are partly scent design. Wayfinding and architectural signage. Hospital, airport, and transit signage are scent systems for physical navigation, each junction a decision point with cues predicting which direction reaches the goal. Animal foraging. The source case: animals navigate patchy environments by reading proximate cues that predict patch value, and optimal-foraging theory supplies the decision rule that information-foraging theory imported.
- Satisficing
- - Biological foraging: Non-human animals adopt satisficing-like strategies: a forager leaves a patch when the marginal rate of gain falls below the average rate across patches, a threshold that functions as an environment-derived aspiration level
This sourceShows satisficing emerges as an evolvable solution in non-human foraging; the aspiration level is derived from environmental structure, not intrinsic preference.*
- - Biological foraging: Non-human animals adopt satisficing-like strategies: a forager leaves a patch when the marginal rate of gain falls below the average rate across patches, a threshold that functions as an environment-derived aspiration level
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