منابع مشابه
Learning in a Black Box ∗
Many interactive environments can be represented as games, but they are so large and complex that individual players are mostly in the dark about others’ actions and the payoff structure. This paper analyzes learning behavior in such ‘black box’ environments, where players’ only source of information is their own history of actions taken and payoffs received. The context of our analysis are dec...
متن کاملFrom Black-Box Learning Objects to Glass-Box Learning Objects
In the field of e-learning, a popular solution to make teaching material reusable is to represent it as learning object (LO). However, building better adaptive educational software also takes an explicit model of the learner’s cognitive process related to LOs. This paper presents a three layers model that explicitly connect the description of learners’ cognitive processes to LOs. The first laye...
متن کاملN ° 2013 – 10 Learning in a Black Box
Many interactive environments can be represented as games, but they are so large and complex that individual players are in the dark about others’ actions and the payoff structure. This paper analyzes learning behavior in such ‘black box’ environments, where players’ only source of information is their own history of actions taken and payoffs received. Specifically we study voluntary contributi...
متن کاملKnowledge Extraction from the Neural ‘Black Box’ in Ecological Monitoring
Phytoplankton biomass within the Saginaw Bay ecosystem (Lake Huron, Michigan, USA) was characterized as a function of select physical/chemical indicators. The complexity and variability of ecological systems typically make it difficult to model the influences of anthropogenic stressors and/or natural disturbances. Here, Artificial Neural Networks (ANNs) were developed to model chlorophyll a con...
متن کاملBlocking Transferability of Adversarial Examples in Black-Box Learning Systems
Advances in Machine Learning (ML) have led to its adoption as an integral component in many applications, including banking, medical diagnosis, and driverless cars. To further broaden the use of ML models, cloud-based services offered by Microsoft, Amazon, Google, and others have developed ML-as-a-service tools as black-box systems. However, ML classifiers are vulnerable to adversarial examples...
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ژورنال
عنوان ژورنال: Journal of Economic Behavior & Organization
سال: 2016
ISSN: 0167-2681
DOI: 10.1016/j.jebo.2016.04.006