Using the interactionist approach of comparative philosophy, I evaluate intersecting points made in Animal Liberationby Peter Singer and The Sexual Politics Meat: A Feminist-Vegetarian Critical Theory by Carol Adams. purpose this paper is to examine how a combination utilitarian feminist perspectives helps us adopt new philosophy accounting for all systems oppression involved eating anim...

Using a laboratory analogue of learned fear (Pavlovian fear conditioning), we show that there is substantial heterogeneity across individuals in spontaneous recovery of fear following extinction training. We propose that this heterogeneity might stem from qualitative individual differences in the nature of extinction learning. Whereas some individuals tend to form a new memory during extinction...

Based on a large-scale, unique longitudinal dataset comprising more than four million individual transactions, we study linkages between consumer learning, channel choice, and purchase behavior. We focus on online versus traditional over the counter channels. First, we investigate how the occurrence of consumer ‘learning’ is related to ‘unlearning’ in loyalty programs, and how (un)learning depe...

Model-free reinforcement learning algorithms, such as Q-learning, perform poorly in the early stages of learning in noisy environments, because much effort is spent unlearning biased estimates of the state-action value function. The bias results from selecting, among several noisy estimates, the apparent optimum, which may actually be suboptimal. We propose G-learning, a new off-policy learning...

Recent studies show that when words are correlated with the colours they are printed in (e.g., MOVE is presented 75% of the time in blue), colour identification is faster when the word is presented in its correlated colour (MOVE in blue) than in an uncorrelated colour (MOVE in green). The present series of experiments explored the possible mechanisms involved in this colour-word contingency lea...

Neuromimetic devices—artificial electronics that mimic the brain’s neurons—could be used to study how the brain works or to design circuits that borrow from the brain’s computing ability. Such devices emulate neurons and the synapses between them with voltage­driven circuits that exchange signals in a connected network. But conventional circuits cannot easily reproduce the synapses’ ability to ...

Since a social network by definition is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications, which range from service recommender systems to the targeted advertising of services. However, unlike traditional estimation problems where the underlying target distribution is stationary; estimating a user's interests typi...

Questions remain on the robustness of data-driven learning methods when crossing gap from simulation to reality. We utilize weight anchoring, a method known continual learning, cultivate and fixate desired behavior in Neural Networks. Weight anchoring may be used find solution problem that is nearby another problem. Thereby, can carried out optimal environments without neglecting or unlearning ...