James Russell N
a Texas Tech Neuroimaging Institute , Texas Tech University , Lubbock , USA.
Cogn Neurosci. 2015;6(4):219-21. doi: 10.1080/17588928.2015.1051012. Epub 2015 Aug 28.
The solution to the exploration-exploitation dilemma presented essentially subsumes exploitation into an information-maximizing model. Such a single-maximization model is shown to be (1) more tractable than the initial dual-maximization dilemma, (2) useful in modeling information-maximizing subsystems, and (3) profitably applied in artificial simulations where exploration is costless. However, the model fails to resolve the dilemma in ethological or practical circumstances with objective outcomes, such as inclusive fitness, rather than information outcomes, such as lack of surprise.
所提出的探索-利用困境的解决方案本质上是将利用纳入一个信息最大化模型。这样一个单一最大化模型被证明：（1）比最初的双重最大化困境更易于处理；（2）在对信息最大化子系统进行建模时有用；（3）在探索成本为零的人工模拟中能有效应用。然而，该模型未能在具有客观结果（如广义适合度）而非信息结果（如缺乏意外性）的行为学或实际情形中解决这一困境。
