Research Article Details
| Article ID: | A34205 |
| PMID: | 24122615 |
| Source: | IEEE Trans Cybern |
| Title: | Foraging swarms as Nash equilibria of dynamic games. |
| Abstract: | The question of whether foraging swarms can form as a result of a noncooperative game played by individuals is shown here to have an affirmative answer. A dynamic game played by N agents in 1-D motion is introduced and models, for instance, a foraging ant colony. Each agent controls its velocity to minimize its total work done in a finite time interval. The game is shown to have a unique Nash equilibrium under two different foraging location specifications, and both equilibria display many features of a foraging swarm behavior observed in biological swarms. Explicit expressions are derived for pairwise distances between individuals of the swarm, swarm size, and swarm center location during foraging. |
| DOI: | 10.1109/TCYB.2013.2283102 |
| Strategy ID | Therapy Strategy | Synonyms | Therapy Targets | Therapy Drugs |
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| Target ID | Target Name | GENE | Action | Class | UniProtKB ID | Entry Name |
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| Diseases ID | DO ID | Disease Name | Definition | Class |
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| Drug ID | Drug Name | Type | DrugBank ID | Targets | Category | Latest Progress | |
|---|---|---|---|---|---|---|---|
| D080 | Citrulline | Chemical drug | DB00155 | -- | -- | Under clinical trials | Details |
| D248 | Obeticholic Acid | Chemical drug | DB05990 | NR1H4 activator; NR1H4 agonist; FXR agonist | Enhance lipid metabolism | Approval rejected | Details |
| D328 | Serine | Chemical drug | DB00133 | SRR | Improve insulin resistance | Under clinical trials | Details |