We conclude that birds do not necessarily attend to complex patterns when learning a warning signal, and domestic chicks primarily learn a bright colour rather than an equally novel conspicuous black pattern.
The preliminary results presented in this paper demonstrate that a standard reinforcement learning approach is capable of learning a control signal selection policy to prevent the network state distribution from straying far from a specified target distribution.
This is also known in multimedia learning as a signal principle and stems from the idea that multimedia materials are more effective if there is a cue embedded to guide or prepare the learner or guide their attention to a relevant part of the material (Mayer 2001).
We further evaluated the stimulus-driven habit learning with a signal discrimination task.
The experimental results demonstrated that it was possible to learn a control signal selection policy to successfully maintain the desired network state distribution in a large percentage of cases, especially when compared to the 100% failure rate realized without intelligent control.
As explained further in "Learning a control policy" to allow for more efficient execution of the learning and simulation process, a single signal (state value) is injected to all control nodes at each time step.
Though learning an entirely new system of signals was, as Admiral Rodman put it, "almost the same as if in reading we had substituted a new set of letters," within three days of their arrival, the ships of Battleship Division Nine were able to take part in fleet maneuvers in the North Sea with no apparent difficulty.
We have previously argued that task-irrelevant learning is due to a stimulus invariant learning signal and not a stimulus-directed attentional signal [1], [4], [7], [19].
After learning basis atoms, a signal can be decomposed into a collection of latent components, each is reconstructed by one basis atom and its corresponding time-shifts.
Although we have learned a lot about the signaling pathways that link energy accumulation (adiposity) to chronic inflammation, we know little about the real biological significance of the inflammation.
