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What`s an Expert System
What`s an Expert System

...  Limited knowledge – “shallow” knowledge » No “deep” understanding of the concepts and their relationships – No “common-sense” knowledge – No knowledge from possibly relevant related domains – “closed world” » The ES knows only what it has been explicitly “told” » It doesn’t know what it doesn’t kn ...
Nervous System
Nervous System

... The primary functions include; the ability to recognize changes in and of the body, the ability to interpret those changes and the ability to react to those changes. ...
View Presentation
View Presentation

... The study of how humans and animals respond to sensory stimuli The mathematical relationship of sensory intensity to the magnitude of a physical stimulus ...
logic-based and common
logic-based and common

... In link analysis, we show that behavior of an economic sub-domain can be modeled, approximating an entire domain’s (often unpredictable) behavior. For agent design, our approach to problem decomposition and minimized realization of components has utility, as in the congregation formation of Brooks a ...
Citizen as a Sensor: The Barcelona Urban Mobility Use
Citizen as a Sensor: The Barcelona Urban Mobility Use

... flows: a macro vision, captured from the proactively shared social media contents, and a micro vision, with dedicated apps sensing an specific subject such as the PTN. Nowadays, the concept of smart city appears with a top-down vision where citizens receive the services implemented by the city and t ...
CHAPTER 46 NEURONS AND NERVOUS SYSTEM
CHAPTER 46 NEURONS AND NERVOUS SYSTEM

... 1. The medulla oblongata, pons, and midbrain all form the brain stem. 2. Besides acting as a relay station for tracts passing between the cerebrum and spinal cord or cerebellum, the midbrain has reflex centers for visual, auditory, and tactile responses. 3. The pons contains bundles of axons traveli ...
Mindware as Soft~are - Computation and Cognition Lab
Mindware as Soft~are - Computation and Cognition Lab

... Smart (1959) (andagain': see Appendix I), claimed that mental stat~s just are ·· processes going on in tJ1e brain. This bald
Lecture notes
Lecture notes

... Lessons from information theory What is the goal of neural processing within a hierarchical circuit? Processing cannot add information! From an information theoretic perspective, processing can only make information more robust to noise contamination. What transformations during processing are pote ...
Inclusive Spaces and Universal Design
Inclusive Spaces and Universal Design

... What Does Universal Design Look Like? ...
Autonomy: A Nice Idea in Theory
Autonomy: A Nice Idea in Theory

... In the strong view, it is by definition impossible to control autonomy externally. At the same time, however, we can design agents with appropriate motivations and motivational mechanisms that constrain and guide agent behaviour as a result of internal ...
Embodied Autonomy in Digital Ecosystems: From Bio-inspired Agents to Cognitive Systems
Embodied Autonomy in Digital Ecosystems: From Bio-inspired Agents to Cognitive Systems

... as it arrives—typically from several distributed sites— and execute specific tasks in response to what they find. These systems are most useful for automating tasks across organizations by using data shared over the Internet, especially when the underlying data are structured according to prevailing ...
AMD Newsletter Vol 5, No. 2,
AMD Newsletter Vol 5, No. 2,

... Vol. 5, No. 2, 2008 ...
paper-topics-phl-220 - Barbara Gail Montero
paper-topics-phl-220 - Barbara Gail Montero

... has done the assigned readings and thought about them and understood them (10)? Does the essay include at least one quote from each of the readings with a citation, and are those quotes introduced and explained (10)? 20 points 4. Is the essay well written? Is the first sentence engaging (5)? (5) Doe ...
Misrepresentation, empty HOTs, and intrinsic HOTs: A reply to
Misrepresentation, empty HOTs, and intrinsic HOTs: A reply to

... hold that HOTs are “necessarily accurate” and that I “guarantee” a match between a HOT and its target, this is very misleading or at least oversimplified. So let’s look more closely: First, if we think about the intrinsic/extrinsic issue from a third-person neurophysiological perspective, there is ...
lecture
lecture

... 1) Conscious experience contains more information than the physical facts provide: ‘What its like to X’ or Qualia 2) Qualia has no functional role. 3) If functionalism is true there is no requirement that functional states have associated qualia. Thus mental states need not have qualia. (Qualia Zomb ...
No Slide Title
No Slide Title

... to operate to increase brain-size, there must already be language and language-related culture. There must already be words. The central question remains: WHY and HOW could speech and language have got going for humans at all? Why humans and not dogs or apes? The most plausible possibility is, as Ja ...
1 What is Artificial Intelligence ( AI )
1 What is Artificial Intelligence ( AI )

... collection of computing tools and techniques, shared by closely related disciplines that include fuzzy logig, artificial neural nets, genetic algorithms, belief calculus, and some aspects of machine learning like inductive logic programming. These tools are used independently as well as jointly depe ...
Artificial Intelligence: How It`s Changed The Rules
Artificial Intelligence: How It`s Changed The Rules

... How have we gotten to this point? When we try and predict where technology is going, we’re generally all wrong in terms of underestimation. What feels like slow advancement is actually exponentially more rapid. Technological advancement, in a sense, compounds over time – the expansion rate multiplie ...
Solving Everyday Physical Reasoning Problems
Solving Everyday Physical Reasoning Problems

... polynomial time [8]. The base and target descriptions can be pre-stored cases, or dynamically computed based on queries to a large knowledge base [19]. MAC/FAC [9] models similarity-based retrieval. The first stage uses a special kind of feature vector, automatically computed from structural descrip ...
Solving Everyday Physical Reasoning Problems by Analogy using
Solving Everyday Physical Reasoning Problems by Analogy using

... polynomial time [8]. The base and target descriptions can be pre-stored cases, or dynamically computed based on queries to a large knowledge base [19]. MAC/FAC [9] models similarity-based retrieval. The first stage uses a special kind of feature vector, automatically computed from structural descrip ...
A Chronology of Artificial Intelligence
A Chronology of Artificial Intelligence

... parsing scheme called the Augmented Transition Network. By mixing syntax rules with semantic analysis, the scheme could discriminate between the meanings of sentences such as "The beach is sweltering" and "The boy is sweltering." 1970s Earlier machine learning efforts aimed at enabling computers to ...
Intentional Embodied Agents
Intentional Embodied Agents

... Over the last number of years, extensive research has been carried out into the area of autonomous agents. The term agent can be somewhat nebulous and invoke different meanings depending on the discipline in question. We use the term in a manner synonymous with the Distributed Artificial Intelligenc ...
Claims and Challenges in Evaluating Human
Claims and Challenges in Evaluating Human

... the Loebner Prize (an annual competition based on the Turing Test) appear to be pursuing HLI. One alternative to the Turing Test is the approach taken in cognitive modeling, where researchers attempt to develop computational models that think and learn similar to humans. In cognitive modeling, the g ...
Cognitive Disorders
Cognitive Disorders

... •Clear organic causes, where primary symptom is a significant deficit in cognitive ability •changes in the person’s personality and behavior (due to the brain disorder) ...
Dialogue Games for Inconsistent and Biased Information
Dialogue Games for Inconsistent and Biased Information

... [19], Beun [3] proposes a similar approach by identifying three structures that form a dialogue game which enable agents to communicate in a sensible way. That is, agents need to have a cognitive state to represent their world of interest, for example, the information that they believe to be the cas ...
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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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