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the nervous system
the nervous system

... only one direction. Messages are relayed from one neuron to another at the synapse. The axon terminals of one neuron are very close to the dendrite of another, allowing messages to jump from one neuron to the next. In this way, messages are carried very quickly to the brain from all parts of the bod ...
Chapter 48 Objective Questions
Chapter 48 Objective Questions

... 13. Distinguish between gated and ungated ion channels and between chemically gated ion channels and voltage-gated ion channels. 14. Define a graded potential and explain how it is different from a resting potential or an action potential. 15. Describe the characteristics of an action potential. Exp ...
An Overview of Nervous Systems 1. Compare the two coordinating
An Overview of Nervous Systems 1. Compare the two coordinating

... 32. Compare the structures and functions of the central nervous system and peripheral nervous system. 33. Distinguish between the functions of the autonomic nervous system and the somatic nervous system. 34. Describe the embryonic development of the vertebrate brain. 35. Describe the structures and ...
Unit 3 Biological Bases of Behavior 11_12
Unit 3 Biological Bases of Behavior 11_12

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The Functional Organization of Perception and Movement
The Functional Organization of Perception and Movement

... hearing, smelling, tasting, and touching—are analytical triumphs. Similarly, all of our voluntary actions are triumphs of engineering. The brain accomplishes these computational feats because its information processing units—its nerve cells—are wired together in very precise ways. ...
Artificial intelligence tools for software engineering
Artificial intelligence tools for software engineering

... described as a relation between the elements of the language (words, phrases and sentences) and the elements of the speaker's representation of the real world (objects and events). This relation can be established via an internal (formal) representation of the sentence. From a mere linguistic point ...
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The Nervous System Introducion

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AAAI Proceedings Template
AAAI Proceedings Template

... of content areas. When referring to one’s own work, use the third person rather than the first person. For example, say, “Previously, Gottlob [1992] has shown that…”, rather than, “In our previous work [Gottlob, 1992], we have shown that…” Try to avoid including any information in the body of the pa ...
`What` and `where` in the human brain
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The Nervous System - Christian Fenger Academy High School
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Big Myth or Major Miss? - Perceptual Science Laboratory
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Study Guide - WordPress.com
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Hierarchical Knowledge for Heuristic Problem Solving — A Case
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... The combination of many simple heuristics instead of one monolithic strategy is supported by observations of human behavior. Tenbrink and Seifert (2011) asked participants to plan a holiday trip and analyzed verbal reports from this task. They found that humans combined spatial knowledge with knowle ...
Influence-Based Abstraction for Multiagent Systems Please share
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... can affect private factors (illustrated for agent 1), and that private factors can influence MMFs (illustrated for agent 2). Intra-stage connections (not shown) are also allowed. The LFM definition requires the additional specification of S that satisfies a number of properties (as per Def. 3), whic ...
Evolution and intelligence: beyond the argument
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... From A. Scheibel & Wm. Schopf, eds. (1997) "The Origin and Evolution of Intelligence," Jones and Bartlett publishers, pp. 103-135. Revised post-publication April 2000 (originally written in 1995-6). The persistence of top-down explanations in biology When the theory of natural selection was first pr ...
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Multi-Agent Systems in Practice When Research Meets - DAI
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... skills are a crucial part of national and international intellectual capital. Figure 2.1 depicts the above-mentioned components. In this chapter, a hierarchical morphological framework is examined which is a useful organizational basis for systems engineering processes: to execute operations for the ...
A general mechanism for perceptual decision
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... noisier, and thus you have to look longer to gather more sensory data to make a decision about the person at the light and the appropriate behavioural response. This type of decision-making has been studied in single-unit recording studies in monkeys performing sensory discriminations5–8. Shadlen et ...
the brain as a system of aggregation of social, behavioral and
the brain as a system of aggregation of social, behavioral and

... Normally, the system of social control (SSC) exerts an influence on the organism through the somatosensory cortex, from where the information is transferred to the association cortex (Figure 1). If the influence of environment is such that the center of the cortex can not find the appropriate strate ...
AI Magazine - Intelligent and Mobile Agents Research Group
AI Magazine - Intelligent and Mobile Agents Research Group

... that combine numerical (and subsymbolic) and knowledge-driven (symbolic) approaches for reasoning, together with abductive reasoning, to create meaningful real-time guidance engines. Context Information Exchange and Integration: How can we integrate and exploit the growing amount of information avai ...
From the gate to the neuromatrix
From the gate to the neuromatrix

... who had been trying valiantly to convince his medical colleagues that pain is a syndrome in its own right that merits special attention, research and funding. The arrival of the gate control theory encouraged John to pursue his cause even more vigorously. At the same time, he promoted the gate contr ...
I I I I I I I I I I I I I I I I I I I
I I I I I I I I I I I I I I I I I I I

... means of quantifying information gains and losses within probabilistic inference procedures. The second arises from MRE's properties as a uniquely consistent inference procedure, which suggests that MRE can be used directly for inference in AI applications. Indeed, so-called Boltzmann machines and s ...
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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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