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- White Rose Research Online
- White Rose Research Online

... were present during the Ediacaran period (635 to 542 mya)2 at the end of Neoproterozoic era, and are likely to have been the first animals to evolve nervous systems of any kind. There is still a great deal to be learned about the functional architecture of cnidarian nervous systems, however, existin ...
The AI Rebellion: Changing the Narrative
The AI Rebellion: Changing the Narrative

... which violate task specifications. Briggs and Scheutz (2015) proposed a general process in which an embodied AI agent refuses to conduct an assigned task due to reasons including: lack of obligation; goal priority and timing; and permissibility issues (e.g., safety requirements, ethical norms). Brig ...
What is a Brain State
What is a Brain State

... Though the issue first arose in the context of the Identity Theory, having such a viable theoretical account is vital to the success of cognitive science. For, whether you prefer correlation, supervenience, causation, or identity as an account of how the mind and brain relate, you will need to provi ...
Redgrave - people.vcu.edu
Redgrave - people.vcu.edu

... the reward prediction error hypothesis of phasic dopaminergic function. It maintains that midbrain dopaminergic neurons signal the occurrence of unpredicted reward, which is used in appetitive learning to reinforce existing actions that most often lead to reward. However, the availability of limited ...
Forced moves or good tricks in design space? Landmarks in the
Forced moves or good tricks in design space? Landmarks in the

... were present during the Ediacaran period (635 to 542 mya)2 at the end of Neoproterozoic era, and are likely to have been the first animals to evolve nervous systems of any kind. There is still a great deal to be learned about the functional architecture of cnidarian nervous systems, however, existin ...
Registration Leaflet - Association for the Advancement of Artificial
Registration Leaflet - Association for the Advancement of Artificial

... Sponsored by the Association for the Advancement of Artificial Intelligence The Association for the Advancement of Artificial Intelligence is pleased to present its 2012 Fall Symposium Series, Friday through Sunday, November 2–4 at the Westin Arlington Gateway in Arlington, Virginia, adjacent to Was ...
Intelligent Robotics Intelligent Robotics
Intelligent Robotics Intelligent Robotics

...  Developed by Norbert Wiener in the late 1940s  A combination of biology, information science, ...
Chapter 15 - Las Positas College
Chapter 15 - Las Positas College

... A study of the autonomic nervous system enables you to understand actions the body performs without conscious thought. You involuntarily experience countless smooth muscle and cardiac muscle contractions and gland secretions that provide a stable internal environment for you. Some of the important v ...
Chapter Two: The Musical Brain
Chapter Two: The Musical Brain

... "Sound waves enter your ear canal and hit your ear drum. This makes it vibrate. Three tiny bones in your middle ear link the vibrating ear drum with the inner part of your ear. The last of these bones is connected to a tiny bone structure that looks a bit like a snail shell, but is about the size of ...
Introduction to the Turing Test MS
Introduction to the Turing Test MS

... to identify the responder unless they asked, “Are you a computer?” or similar question. Fifteen questions is half the total available so students will have to do some thinking about the best questions to ask.) 4. The Responder chooses ahead of time to respond to ALL fifteen questions as AI or human. ...
Planning and problem solving: from neuropsychology to
Planning and problem solving: from neuropsychology to

Artificial intelligence
Artificial intelligence

... with uncertain or incomplete information, employing concepts from probability and economics.[54] For difficult problems, most of these algorithms can require enormous computational resources — most experience a "combinatorial explosion": the amount of memory or computer time required becomes astrono ...
Affective Interaction with Life
Affective Interaction with Life

... “be happy now” “acts” expresses happiness “perceives” game state ...
Dialectic Information Systems - Universidad Autónoma de Madrid
Dialectic Information Systems - Universidad Autónoma de Madrid

... and systems science appears after F. Gonseth formulated scientific and empiric dialectics, around the middle of the 20th century. From then on its applications multiply. In Spain, it was Rafael Rodríguez Delgado who introduced both the theory of systems as well as systems dialectics. ...
Top-down influence in early visual processing: a Bayesian perspective
Top-down influence in early visual processing: a Bayesian perspective

... form the whole hierarchy of inference. In this framework, each cortical area is an expert for inferring certain aspects of the visual scene, but its inference is made in consultation with the other brain areas, constrained by both incoming data and the top-down contextual priors. Unless the input im ...
A computational hypothesis for allostasis: delineation of substance
A computational hypothesis for allostasis: delineation of substance

... organism is counterbalanced by negative feedback mechanisms which support the reinstatement of original setpoints. Instead, the allostatic model advances that the internal state of the organism continuously adapts to the surrounding natural world, attaining functional stability through the adaptatio ...
This is all we can do!
This is all we can do!

... • What does the nervous system do? • Action Potentials—rapid transmission of messages • Reflex arc (simple somatic function) and autonomic function • What can we sense? ...
Functional Brain Changes Following Cognitive and Motor Skills
Functional Brain Changes Following Cognitive and Motor Skills

... prove fruitful in identifying interactions between domain-general and -specific changes in brain activity that affect behavioral outcomes. Keywords meta-analysis, default mode, dorsal attention, frontoparietal control, network, neuroimaging, training ...
Jumping NLP Curves: A Review of Natural Language Processing
Jumping NLP Curves: A Review of Natural Language Processing

... in the early 1960s from Simmons (Simmons, 1963) and Quillian (Quillian, 1963) and was further developed in the late 1980s by Marvin Minsky within his Society of Mind theory (Minsky, 1986), according to which the magic of human intelligence stems from our vast diversity—and not from any single, perfe ...
Symbol Acquisition for Probabilistic High
Symbol Acquisition for Probabilistic High

... from a set of states to one that starts from a distribution over states (a probabilistic symbol of type 1): Definition 4. A probabilistic plan p = {o1 , ..., opn } from a start state symbol σZ (corresponding to state distribution Z(S)) is a sequence of options oi ∈ O, 1 ≤ i ≤ pn , to be executed fro ...
text - Immortality roadmap
text - Immortality roadmap

... has to count. The explosive combination of bio, nano, nuclear, and AI technologies are very risky, and one fatal error could end it all. The fact that the Earth is whole today gives us no reassurances for the future. There is no time in history when it was more important to be correct than now. Ther ...
Heuristics, Planning and Cognition
Heuristics, Planning and Cognition

... are sound (only produce plans), complete (produce a plan if one exists), and effective (scale up to large problems). By the early 90’s, the state-of-the-art method was UCPOP [Penberthy and Weld 1992], an elegant algorithm based on partial-order causal link planning [Sacerdoti 1975; Tate 1977; McAlle ...
Branching Thalamic Afferents Link Action and Perception
Branching Thalamic Afferents Link Action and Perception

... dominate the functional properties of the cortical cells. These thalamocortical afferents pass to the cortex the main, “driving input”1 that the thalamic relay cells receive from the optic tract or medial lemniscus. The functional organization of these pathways, including cortex, has been studied in ...
Lecture 37 Notes - MIT OpenCourseWare
Lecture 37 Notes - MIT OpenCourseWare

... layer 4 and gives the striate cortex its name—it is more prominent in area 17 than in other areas. (Note in slides 10 and 11 that there are other tangentially arranged bands of fibers in the neocortex: within layer 1, within layer 5, within layer 6 and also the ...
20-Limbic
20-Limbic

... The amygdala appears to provide suggestion to experience & especially relevant to social stimuli. The affect is an evolutionary development from more primitive ‘feelings’, derived from sensory autonomic input bodily organs into the hypothalamus. The information permits a link to previous experience ...
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Embodied cognitive science

For approaches to cognitive science that emphasize the embodied mind, see Embodied cognitionEmbodied Cognitive Science is an interdisciplinary field of research, the aim of which is to explain the mechanisms underlying intelligent behavior. It comprises three main methodologies: 1) the modeling of psychological and biological systems in a holistic manner that considers the mind and body as a single entity, 2) the formation of a common set of general principles of intelligent behavior, and 3) the experimental use of robotic agents in controlled environments.Embodied cognitive science borrows heavily from embodied philosophy and the related research fields of cognitive science, psychology, neuroscience and artificial intelligence. From the perspective of neuroscience, research in this field was led by Gerald Edelman of the Neurosciences Institute at La Jolla, the late Francisco Varela of CNRS in France, and J. A. Scott Kelso of Florida Atlantic University. From the perspective of psychology, research by Michael Turvey, Lawrence Barsalou and Eleanor Rosch. From the perspective of language acquisition, Eric Lenneberg and Philip Rubin at Haskins Laboratories. From the perspective of autonomous agent design, early work is sometimes attributed to Rodney Brooks or Valentino Braitenberg. From the perspective of artificial intelligence, see Understanding Intelligence by Rolf Pfeifer and Christian Scheier or How the body shapes the way we think, also by Rolf Pfeifer and Josh C. Bongard. From the perspective of philosophy see Andy Clark, Shaun Gallagher, and Evan Thompson.Turing proposed that a machine may need a human-like body to think and speak:It can also be maintained that it is best to provide the machine with the best sense organs that money can buy, and then teach it to understand and speak English. That process could follow the normal teaching of a child. Things would be pointed out and named, etc. Again, I do not know what the right answer is, but I think both approaches should be tried (Turing, 1950).↑
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