Learning About Food: Starlings, Skinner Boxes, And Earthworms.

the relationship between locus of control and iranian efl university students’ beliefs about language learning

this exploratory study aimed to investigate a possible relationship between learners’ beliefs about language learning and one of their personality traits; that is,locus of control (loc). both variables, beliefs and locus of control, are assumed to influence the language learning process. the internal control index (ici) and the beliefs about language learning inventory (balli) were administered...

Starlings' preferences for predictable and unpredictable delays to food.

Risk-sensitive foraging theory is based on the premise that unpredictable runs of good or bad luck can cause a variable food source to differ in fitness value from a fixed food source yielding the same average rate of gain but no unpredictability. Thus, risk-sensitive predictions are dependent on the food intake from variable sources being not only variable but also unpredictable or 'risky' in ...

the relationship between iranian efl learners beliefs about rote learning, their use of vocabulary learning strategies and their success in vocabulary learning: a think-aloud protocol study

the purpose of this study was to investigate iranian efl learners’ beliefs about the role of rote learning (rl) in vocabulary learning strategies; besides, the study examined if english proficiency would influence learners’ vocabulary learning strategy use. this study addresses the need for a clear understanding of the role of rl in efl vocabulary learning by looking at iranian efl learners’ ow...

Skinner Operant Conditioning Model and Robot Bionic Self-learning Control

Original scientific paper A Fuzzy Skinner Operant Conditioning Automaton (FSOCA) is constructed based on Operant Conditioning Mechanism with Fuzzy Set theory. The main character of FSOCA automaton is: the fuzzed results of state by Gaussian function are used as fuzzy state sets; the fuzzy mapping rules of fuzzyconditioning-operation replace the stochastic "conditioning-operant" mapping sets. So...

Learning Boxes in High Dimension