AIMC Topic: Appetitive Behavior

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Development of swarm behavior in artificial learning agents that adapt to different foraging environments.

PloS one Dec 18, 2020
Collective behavior, and swarm formation in particular, has been studied from several perspectives within a large variety of fields, ranging from biology to physics. In this work, we apply Projective Simulation to model each individual as an artifici...
Artificial Intelligence Computer Simulation Animals Models, Biological Reward Feeding Behavior Adaptation, Physiological Social Behavior Appetitive Behavior
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Multiple tracking and machine learning reveal dopamine modulation for area-restricted foraging behaviors via velocity change in Caenorhabditis elegans.

Neuroscience letters May 10, 2019
Food exploration is an essential survival behavior in organisms. To find food efficiently, many organisms use a foraging strategy called area-restricted search (ARS) wherein individuals first turn more frequently, restricting their search to one area...
Machine Learning Animals Animals, Genetically Modified Dopamine Caenorhabditis elegans Reinforcement, Psychology Appetitive Behavior
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Multi-layer network utilizing rewarded spike time dependent plasticity to learn a foraging task.

PLoS computational biology Sep 29, 2017
Neural networks with a single plastic layer employing reward modulated spike time dependent plasticity (STDP) are capable of learning simple foraging tasks. Here we demonstrate advanced pattern discrimination and continuous learning in a network of s...
Humans Neural Networks, Computer Machine Learning Algorithms Feedback Animals Computational Biology Neuronal Plasticity Models, Neurological Action Potentials Appetitive Behavior
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Expanding the role of striatal cholinergic interneurons and the midbrain dopamine system in appetitive instrumental conditioning.

Journal of neurophysiology Oct 14, 2015
The basal ganglia are a collection of subcortical nuclei thought to underlie a wide variety of vertebrate behavior. Although a great deal is known about the functional and physiological properties of the basal ganglia, relatively few models have been...
Humans Neural Networks, Computer Animals Models, Neurological Dopamine Corpus Striatum Basal Ganglia Appetitive Behavior Conditioning, Operant Cholinergic Neurons Extinction, Psychological
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Artificial Bee Colony Algorithm Based on Information Learning.

IEEE transactions on cybernetics Jan 13, 2015
Inspired by the fact that the division of labor and cooperation play extremely important roles in the human history development, this paper develops a novel artificial bee colony algorithm based on information learning (ILABC, for short). In ILABC, a...
Machine Learning Algorithms Animals Cluster Analysis Models, Biological Bees Appetitive Behavior
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