AIMC Topic: Thinking
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Patterns of thought: Population variation in the associations between large-scale network organisation and self-reported experiences at rest.
NeuroImage
May 4, 2018
Contemporary cognitive neuroscience recognises unconstrained processing varies across individuals, describing variation in meaningful attributes, such as intelligence. It may also have links to patterns of on-going experience. This study examined whe...
Integrating planning perception and action for informed object search.
Cognitive processing
Aug 14, 2017
This paper presents a method to reduce the time spent by a robot with cognitive abilities when looking for objects in unknown locations. It describes how machine learning techniques can be used to decide which places should be inspected first, based ...
A prediction model of ammonia emission from a fattening pig room based on the indoor concentration using adaptive neuro fuzzy inference system.
Journal of hazardous materials
Dec 6, 2016
Ammonia (NH) is considered one of the significant pollutions contributor to indoor air quality and odor gas emission from swine house because of the negative impact on the health of pigs, the workers and local environment. Prediction models could pro...
Building machines that learn and think like people.
The Behavioral and brain sciences
Nov 24, 2016
Recent progress in artificial intelligence has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and boa...
Thought-Controlled Nanoscale Robots in a Living Host.
PloS one
Aug 15, 2016
We report a new type of brain-machine interface enabling a human operator to control nanometer-size robots inside a living animal by brain activity. Recorded EEG patterns are recognized online by an algorithm, which in turn controls the state of an e...
Identifying thematic roles from neural representations measured by functional magnetic resonance imaging.
Cognitive neuropsychology
Jun 17, 2016
The generativity and complexity of human thought stem in large part from the ability to represent relations among concepts and form propositions. The current study reveals how a given object such as rabbit is neurally encoded differently and identifi...
Perceptual discrimination in fear generalization: Mechanistic and clinical implications.
Neuroscience and biobehavioral reviews
Nov 10, 2015
For almost a century, Pavlovian conditioning is the imperative experimental paradigm to investigate the development and generalization of fear. However, despite the rich research tradition, the conceptualization of fear generalization has remained so...
Computational rationality: A converging paradigm for intelligence in brains, minds, and machines.
Science (New York, N.Y.)
Jul 16, 2015
After growing up together, and mostly growing apart in the second half of the 20th century, the fields of artificial intelligence (AI), cognitive science, and neuroscience are reconverging on a shared view of the computational foundations of intellig...
Economic reasoning and artificial intelligence.
Science (New York, N.Y.)
Jul 16, 2015
The field of artificial intelligence (AI) strives to build rational agents capable of perceiving the world around them and taking actions to advance specified goals. Put another way, AI researchers aim to construct a synthetic homo economicus, the my...
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