Publication | Closed Access
Dynamic kin selection
20
Citations
9
References
1994
Year
Robot KinematicsEvolutionary Game TheoryEngineeringFitnessNatural SelectionDynamic Kin SelectionObject ManipulationKinesiologyRobot LearningKinematicsComputational GeometryDecision TheoryEvolutionary DynamicFitness FunctionHealth SciencesKin SelectionBehavioral SciencesMotion SynthesisEvolutionary BiologyMechanical SystemsHuman MovementOwn FitnessRoboticsAnimal Behavior
When an animal performs an action that has consequences both for its own fitness and that of a relative, Hamilton’s rule tells us that the action will be favoured by natural selection if br > c, where c is the cost to the animal that performs the action (the ‘actor’), b is the benefit to its relative (the ‘recipient’), and r is the relatedness of the two individuals. We consider a period of time ending at T during which the actor makes a series of decisions. We show that the strategy predicted by Hamilton’s rule maximizes a particular form of the fitness function defined at T. Furthermore, each decision taken during the interval can be characterized by a form of Hamilton’s rule in which b depends not only on the state of the recipient but also on the state of the actor; similarly c depends on the states of both animals. We illustrate this with two schematic examples based on the actor controlling the delivery of food to itself and a relative.
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