Results 121 to 130 of about 1,294,873 (220)

Beyond Reynolds: A Constraint-Driven Approach to Cluster Flocking

, 2020
In this paper, we present an original set of flocking rules using an ecologically-inspired paradigm for control of multi-robot systems. We translate these rules into a constraint-driven optimal control problem where the agents minimize energy consumption
Beaver, Logan E., Malikopoulos, Andreas A.   +1 more
core   +1 more source

Examining motivational profiles in the dark personality tetrad using an approach-avoidance conflict task

PLOS One
The present studies evaluated motives associated with the Dark Tetrad traits (Machiavellianism, narcissism, psychopathy, and sadism) using a computerized approach-avoidance conflict task (AACT). Study 1 used an Emoticon AACT with a forced choice between smiley and frowny face icons. In Phase 1, participants (n = 197) were shown a positive image if they
Luke B. J. Regehr, Douglas A. Williams, Erin E. Buckels   +2 more
openaire   +3 more sources

Measuring implicit bias in height-fearful participants with the Approach-Avoidance Task

European Archives of Psychiatry and Clinical Neuroscience
Abstract Height fear might involve dysfunctional, implicit biases in attention and avoidance in the presence of height-related stimuli. The present study used an Approach-Avoidance Task (AAT) for fear of heights to investigate the association between height fear and alterations in attention and approach-avoidance tendencies.
Piovesan, K., Rinck, M., Zlomuzica, A.
openaire   +3 more sources

Generalization and extinction of platform-mediated avoidance in male and female rats

Scientific Reports
Understanding anxiety-related disorders can be advanced by studying the fear learning mechanisms implicated in the transition from adaptive to maladaptive fear.
Alba López-Moraga, Laura Luyten, Tom Beckers   +2 more
doaj   +1 more source

From ‘motivational climate’ to ‘motivational atmosphere’: a review of research examining the social and environmental influences on athlete motivation in sport [PDF]

, 2010
This chapter is intended to provide a comprehensive review of the various theories of social and environmental factors that influence athletes’ motivation in sport.
Harwood, Chris, Keegan, Richard, Lavallee, David, Spray, Christopher   +3 more
core  

Smoking behavior intervention based on implicit approach: a cross-sectional pilot study [version 2; peer review: 2 approved]

F1000Research
Introduction Indonesia is the country with the highest smoking rate in Southeast Asia and the third-highest globally. Smoking has become one of Indonesia’s biggest addiction problems.
Marisa F. Moeliono, Stephani Raihana Hamdan, Wilis Srisayekti   +2 more
doaj   +1 more source

Fine-grained acceleration control for autonomous intersection management using deep reinforcement learning

, 2017
Recent advances in combining deep learning and Reinforcement Learning have shown a promising path for designing new control agents that can learn optimal policies for challenging control tasks.
Givargis, Tony, Mirzaei, Hamid
core   +1 more source

Complex robot training tasks through bootstrapping system identification [PDF]

, 2008
Many sensor-motor competences in mobile robotics applications exhibit complex, non-linear characteristics. Previous research has shown that polynomial NARMAX models can learn such complex tasks. However as the complexity of the task under investigation
Akanyeti, O., Billings, S.A., Nehmzow, U.   +2 more
core  

Identifying Trippers and Non-Trippers Based on Knee Kinematics During Obstacle-Free Walking [PDF]

, 2018
Trips are a major cause of falls. Sagittal-plane kinematics affect clearance between the foot and obstacles, however, it is unclear which kinematic measures during obstacle-free walking are associated with avoiding a trip when encountering an obstacle ...
Benson, Lauren C., Cobb, Stephen C., Hyngstrom, Allison S., Keenan, Kevin G., Luo, Jake, O\u27Connor, Kristian M.   +5 more
core   +1 more source

A Novel Approach-Avoidance Task to Study Decision Making Under Outcome Uncertainty

Abstract To behave adaptively, people need to integrate information about probabilistic outcomes and balance drives to approach positive outcomes and avoid negative outcomes. However, questions remain about how uncertainty in positive and negative outcomes influence approach-avoid decision-making dynamics.
Ziwei Cheng, Nadja R. Ging-Jehli, Maisy Tarlow, Joonhwa Kim, Henry W. Chase, Manan Arora, Lisa Bonar, Ricki Stiffler, Alex Grattery, Simona Graur, Michael J. Frank, Mary L. Phillips, Amitai Shenhav   +12 more
openaire   +2 more sources