Results 91 to 100 of about 1,242,924 (345)
Brazilian Journal of Medical and Biological Research, 2001 The present study compares behavioral changes between two distinct rodent groups, hamsters (Mesocricetus auratus) and Wistar rats, when submitted in the same homogeneous experimental situations to a serial conditional discrimination procedure which ...
J.L.O. Bueno +2 more
doaj +1 more source
Journal of Contemporary Educational ResearchReinforcement theory is a behavioral psychology theory proposed by Skinner, which has been widely applied in various fields such as management and education. Positive reinforcement and negative reinforcement are the two types of reinforcement.
Keren Pan
semanticscholar +1 more source
Advanced Robotics Research, EarlyView.A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
On Fodor on Darwin on Evolution [PDF]
, 2009 Jerry Fodor argues that Darwin was wrong about "natural selection" because (1) it is only a tautology rather than a scientific law that can support counterfactuals ("If X had happened, Y would have happened") and because (2) only minds can select.
Harnad, Stevan
core +1 more source
What motivates academic dishonesty in students? A reinforcement sensitivity theory explanation [PDF]
, 2019 BACKGROUND: Academic dishonesty (AD) is an increasing challenge for universities worldwide. The rise of the Internet has further increased opportunities for students to cheat. AIMS: In this study, we investigate the role of personality traits defined
Biggs J. +9 more
core +3 more sources
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Suboptimal Choice Behaviour across Different Reinforcement Probabilities [PDF]
, 2015 Six adult roosters’ choice behaviour was investigated across a series of five experimental conditions and a series of replication of the same five experimental conditions. Stagner and Zentall (2010) found that pigeons prefer to choose an alternative with
Yang, Le
core +1 more source
Network formation by reinforcement learning: the long and medium run
, 2003 We investigate a simple stochastic model of social network formation by the process of reinforcement learning with discounting of the past. In the limit, for any value of the discounting parameter, small, stable cliques are formed.
Pemantle, Robin, Skyrms, Brian
core +4 more sources
Deficient reinforcement learning in medial frontal cortex as a model of dopamine-related motivational deficits in ADHD [PDF]
, 2013 A
Barke, Edmund +3 more
core +2 more sources
Advanced Sustainable Systems, EarlyView.This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour +3 more
wiley +1 more source