Information, Ethics, and Computers: The Problem of Autonomous
... This definition of information as data with meaning has the advantage of being understandable and easy to remember. However, as some of the quoted authors note, it is also simplistic. It assumes the givenness of data which is problematic. Every real situation consists of a virtual infinity of aspect ...
... This definition of information as data with meaning has the advantage of being understandable and easy to remember. However, as some of the quoted authors note, it is also simplistic. It assumes the givenness of data which is problematic. Every real situation consists of a virtual infinity of aspect ...
Serotonergic Psychedelics Temporarily Modify Information Transfer
... measure of directed functional connectivity based on information theory. Ten healthy male volunteers with prior experience with psychedelics participated in 2 experimental sessions. They received a placebo or a dose of ayahuasca, a psychedelic preparation containing the serotonergic 5-HT2A agonist N ...
... measure of directed functional connectivity based on information theory. Ten healthy male volunteers with prior experience with psychedelics participated in 2 experimental sessions. They received a placebo or a dose of ayahuasca, a psychedelic preparation containing the serotonergic 5-HT2A agonist N ...
Knowledge Representation in Artificial Intelligence using
... The research in AI is divided in to two categories Knowledge representation and general. For making the computer or Machine as intelligent as human being we require two things Knowledge representation and inference mechanism. Development of an AI system is a crucial task because some time we have in ...
... The research in AI is divided in to two categories Knowledge representation and general. For making the computer or Machine as intelligent as human being we require two things Knowledge representation and inference mechanism. Development of an AI system is a crucial task because some time we have in ...
RMASBench: a Benchmarking System for Multi
... and MaxSum, two state of the art DCOP solution techniques. The rational behind this choice is twofold: i) the DCOP framework allows to efficiently solve complex problems by exploiting domain structure and ii) there are a rich wealth of solution techniques for DCOPs (both exact and approximate) that ...
... and MaxSum, two state of the art DCOP solution techniques. The rational behind this choice is twofold: i) the DCOP framework allows to efficiently solve complex problems by exploiting domain structure and ii) there are a rich wealth of solution techniques for DCOPs (both exact and approximate) that ...
artificial intelligence notes reasoning methods lecturer:coşkun sönmez
... Model-based reasoning is based on knowledge of the structure and behavior of the devices the system is designed to understand. Model-based systems are especially useful in diagnosing equipment problems. The systems include a model of the device to be diagnosed that is then used to identify the cause ...
... Model-based reasoning is based on knowledge of the structure and behavior of the devices the system is designed to understand. Model-based systems are especially useful in diagnosing equipment problems. The systems include a model of the device to be diagnosed that is then used to identify the cause ...
The changing impact of genes and environment on brain
... provides the means to create more flexible models, for example, including data additional family members such as siblings, or modeling interactions of variance components with factors such as age. It also makes it possible to test whether particular variance components significantly improve the fit ...
... provides the means to create more flexible models, for example, including data additional family members such as siblings, or modeling interactions of variance components with factors such as age. It also makes it possible to test whether particular variance components significantly improve the fit ...
A Neural Network Architecture for General Image Recognition
... the thinking about vision systems or, more generally, information processing systems. In his work, Marr introduced the distinction among three levels of explanations: (1) the computational theory, (2) the algorithm, and (3) the hardware implementation. Consideration of these levels and associated is ...
... the thinking about vision systems or, more generally, information processing systems. In his work, Marr introduced the distinction among three levels of explanations: (1) the computational theory, (2) the algorithm, and (3) the hardware implementation. Consideration of these levels and associated is ...
NOT FOR SALE - Cengage Learning
... when it is not responding to other neurons—its resting potential—is about 270 millivolts in relation to the body fluid outside the cell membrane. When an area on the surface of the resting neuron is adequately stimulated by other neurons, the cell membrane in the area changes its permeability to all ...
... when it is not responding to other neurons—its resting potential—is about 270 millivolts in relation to the body fluid outside the cell membrane. When an area on the surface of the resting neuron is adequately stimulated by other neurons, the cell membrane in the area changes its permeability to all ...
Meta-Analysis of User Age and Service Robot Configuration
... One motivation for this hypothesis was that there were several robot conditions, including multiple design features, which induced moderate emotional responses. Because of the combination of features, participants may have been uncertain about whether they felt aroused or happy. Such uncertainty cou ...
... One motivation for this hypothesis was that there were several robot conditions, including multiple design features, which induced moderate emotional responses. Because of the combination of features, participants may have been uncertain about whether they felt aroused or happy. Such uncertainty cou ...
Semantic Web - University of Huddersfield
... A network of “simple” processing units that can be trained to simulate complex processing eg recognition ...
... A network of “simple” processing units that can be trained to simulate complex processing eg recognition ...
Expert Systems 2
... • In the end, several facts have been added, amongst which one or more may be relevant. • Backward chaining however, starts with the goal state and tries to reach down to all primitive nodes (marked by ‘?’), where information is sought from the user. ...
... • In the end, several facts have been added, amongst which one or more may be relevant. • Backward chaining however, starts with the goal state and tries to reach down to all primitive nodes (marked by ‘?’), where information is sought from the user. ...
PDF
... derived from the experimental data. This task can be posed as an induction problem, i.e. we want to extract functions having dependencies between input and output data such that the functions represent actions while the variables of the function represent attributes of objects. Various techniques ha ...
... derived from the experimental data. This task can be posed as an induction problem, i.e. we want to extract functions having dependencies between input and output data such that the functions represent actions while the variables of the function represent attributes of objects. Various techniques ha ...
Using Rewards for Belief State Updates in Partially Observable
... the entire belief space, only specific beliefs are considered. In our experiments we used the PBVI algorithm [9] together with regular and reward-based belief state updates. In PBVI, a finite set of reachable belief points is selected heuristically, and values are computed only for these points. The ...
... the entire belief space, only specific beliefs are considered. In our experiments we used the PBVI algorithm [9] together with regular and reward-based belief state updates. In PBVI, a finite set of reachable belief points is selected heuristically, and values are computed only for these points. The ...
Synaptic energy efficiency in retinal processing
... The goal of these filters was to transmit information under a limited synaptic budget. The performance of a set of filters in transmitting information was measured by the inverse of the mean squared error of recon1 struction p ¼ hð1=2Þe2 i , over 50,000 image samples. To take into account the effect o ...
... The goal of these filters was to transmit information under a limited synaptic budget. The performance of a set of filters in transmitting information was measured by the inverse of the mean squared error of recon1 struction p ¼ hð1=2Þe2 i , over 50,000 image samples. To take into account the effect o ...
JEDNAK KSIAZKI
... as the “blind spot,” for centuries it has been assumed to have no photoreceptor cells to respond to light stimuli. This assumption requires closer examination. The principal view assumes the existence of a network in which non-recallable or suppressed memory may be activated in such a way that acces ...
... as the “blind spot,” for centuries it has been assumed to have no photoreceptor cells to respond to light stimuli. This assumption requires closer examination. The principal view assumes the existence of a network in which non-recallable or suppressed memory may be activated in such a way that acces ...
Sensory experience and the formation of a computational map of
... widely separated in space, time, or both. These effects appear to increase the salience of stimuli that activate more than one sense organ, making them easier to detect and localize. Because multisensory facilitation in SC neurons is observed only when each stimulus falls within its excitatory recep ...
... widely separated in space, time, or both. These effects appear to increase the salience of stimuli that activate more than one sense organ, making them easier to detect and localize. Because multisensory facilitation in SC neurons is observed only when each stimulus falls within its excitatory recep ...
A HIGH-SPEED ARCHITECTURE FOR BUILDING HYBRID MINDS
... websites which serve as repositories for machine learning code (Kantrowitz, 2009) and training datasets (Asuncion and Newman, 2009). These repositories are useful, but the steps required to install or adapt an existing solution differ in each instance and there is little consistency in the types of ...
... websites which serve as repositories for machine learning code (Kantrowitz, 2009) and training datasets (Asuncion and Newman, 2009). These repositories are useful, but the steps required to install or adapt an existing solution differ in each instance and there is little consistency in the types of ...
Neural Integration I: Sensory Pathways and the Somatic Nervous
... efferent divisions of the nervous system, and explain what is meant by the somatic nervous system. • 15-2 Explain why receptors respond to specific stimuli, and how the organization of a receptor affects its sensitivity. • 15-3 Identify the receptors for the general senses, and describe how they fun ...
... efferent divisions of the nervous system, and explain what is meant by the somatic nervous system. • 15-2 Explain why receptors respond to specific stimuli, and how the organization of a receptor affects its sensitivity. • 15-3 Identify the receptors for the general senses, and describe how they fun ...
asgn2a -- NERVOUS SYSTEM - Indiana University Bloomington
... specialized functions. For example, the respiratory system gets oxygen from the air and removes carbon dioxide from the body. The cardiovascular (cardio = heart, vascular = blood vessels) system is specialized to move blood throughout the body. The specialized function of the nervous system is to ma ...
... specialized functions. For example, the respiratory system gets oxygen from the air and removes carbon dioxide from the body. The cardiovascular (cardio = heart, vascular = blood vessels) system is specialized to move blood throughout the body. The specialized function of the nervous system is to ma ...
The Nervous System
... Peripheral Nervous System • The peripheral nervous system (PNS) is all of the parts of the nervous system except for the brain and the spinal cord. • Two parts: – Sensory part (sensory neurons) – Motor part (motor neuron) Neuroscience For Kids - Explore the nervous system Holt, Rinehart, and Winsto ...
... Peripheral Nervous System • The peripheral nervous system (PNS) is all of the parts of the nervous system except for the brain and the spinal cord. • Two parts: – Sensory part (sensory neurons) – Motor part (motor neuron) Neuroscience For Kids - Explore the nervous system Holt, Rinehart, and Winsto ...
Emotion and Robotics
... • Emotion and affect influence thought and behavior: – The kind of thoughts we have – The way we process information – How we learn and adapt • Emotion/affect as social reinforcement (emotion expression as signal) • Emotion/affect as intrinsic reinforcement (use my own emotion as feedback) ...
... • Emotion and affect influence thought and behavior: – The kind of thoughts we have – The way we process information – How we learn and adapt • Emotion/affect as social reinforcement (emotion expression as signal) • Emotion/affect as intrinsic reinforcement (use my own emotion as feedback) ...
5. Third year activities - LIRA-Lab
... hand, MIRROR did not fully achieve the integration of the many experiments on a single working demonstrator. We would like to mention though that the members of the consortium are now part of a larger FP6’s integrated project (RobotCub, FP6-004370) which can be seen in many respects as the continuat ...
... hand, MIRROR did not fully achieve the integration of the many experiments on a single working demonstrator. We would like to mention though that the members of the consortium are now part of a larger FP6’s integrated project (RobotCub, FP6-004370) which can be seen in many respects as the continuat ...
Max - MIT
... • Deme’s Fitness is calculated and sent to the server • Server acts as a chess “dating service” ...
... • Deme’s Fitness is calculated and sent to the server • Server acts as a chess “dating service” ...
Will machines outsmart man
... cannot increase our brainpower beyond this; in fact, we gradually lose neurons as we age. (You may have heard that humans only use 10% of their brains. Unfortunately, this is a complete urban legend; not just unsupported, but flatly contradicted by neuroscience.) An Artificial Intelligence would be ...
... cannot increase our brainpower beyond this; in fact, we gradually lose neurons as we age. (You may have heard that humans only use 10% of their brains. Unfortunately, this is a complete urban legend; not just unsupported, but flatly contradicted by neuroscience.) An Artificial Intelligence would be ...