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Parameterized Algorithmics for Computational Social Choice: Nine
Parameterized Algorithmics for Computational Social Choice: Nine

... us explain this with the help of one of the most obvious parameters in the context of voting— the number of alternatives. For many contexts (for example, political or committee voting) it is natural to assume that the number of alternatives is small (particularly when compared to the number of voter ...
Moral Psychology at the Crossroads Daniel K. Lapsley Darcia
Moral Psychology at the Crossroads Daniel K. Lapsley Darcia

... ethical commitments (because they do not work empirically). Parenthetically, the claim that the empirical warrant can have implications for ethical theory is a notion that is at the heart of the naturalized ethics tradition, as we will see below. But one may well wonder just how far complementarity ...
Proceedings from the 2015 UK-Korea Neuroscience Symposium
Proceedings from the 2015 UK-Korea Neuroscience Symposium

... This symposium will feature insightful speakers from a diverse cross section of neuroscience including neurodegenerative disease research. Basic, medical, and translational advancements will be highlighted, from which we will foster next-generation neuroscience research and strengthen our collaborat ...
An ancestral axial twist explains the contralateral forebrain and the
An ancestral axial twist explains the contralateral forebrain and the

... As we will see below (section 4) all extant and fossil vertebrates possess an optic chiasm. The model is therefore based on the hypothesis that an ancestor of all vertebrates has turned on its left side, by a 90° turn about the body axis (i.e. anti-clockwise from the perspective of the embryo). As t ...
Artificial Intelligence (AI): Trying to Get Computers to Think Like Us
Artificial Intelligence (AI): Trying to Get Computers to Think Like Us

... AI is a field older than most realize – the term was coined in the mid 1950s. The field is comprised of many subfields but the main focus is on building intelligent entities. In order to achieve this goal many subcomponents need to be built, including methods for assisting computers to think like hu ...
New Trends in Intelligent Systems and Soft Computing Towards and
New Trends in Intelligent Systems and Soft Computing Towards and

... Limited use of uncertainty/imprecision calculi, Little relation to foundational works on intelligence, Little relation to real needs for useful „intelligent systems”, in particular for decision support, Is spite of claims by traditionalists, questionable „great successes” in terms of implementable s ...
This Endless Space between the Words: The Limits of Love in Spike
This Endless Space between the Words: The Limits of Love in Spike

... robot operates autonomously in its own little corral. Its goal in life is to move forward but not hit anything. By a process of trial and error the robot has to learn what to do with its wheels in order to achieve the goal.” What is being described is a very simple robot indeed; yet in Warwick’s vie ...
1. View-Concepts: Knowledge-Based Access to
1. View-Concepts: Knowledge-Based Access to

Biomechanical and neurophysiological mechanisms related to
Biomechanical and neurophysiological mechanisms related to

... tension variation, but only a combination of afferent inputs can provide the necessary information to control body equilibrium (Dietz, 1996). The role of proprioceptive information from ankle muscles has been highlighted in various studies (Fitzpatrick et al., 1994; Fitzpatrick et al., 1992a; Gatev ...
The horizontal brain slice preparation: a novel approach for
The horizontal brain slice preparation: a novel approach for

... October 15, 2014; doi:10.1152/jn.00672.2014.—The Xenopus tadpole optic tectum is a multisensory processing center that receives direct visual input as well as nonvisual mechanosensory input. The tectal neurons that comprise the optic tectum are organized into layers. These neurons project their dend ...
Sensation
Sensation

... Signal detection theory – Perceptual judgment as combination of sensation and decision-making processes Stimulus event Neural activity ...
Decision Making and Business Processes
Decision Making and Business Processes

... ecision-making and problem-solving abilities are now the most sought-after traits in up-and-coming executives, according to a recent survey of 1,000 executives. To put it mildly, decision makers and problem solvers have limitless career potential.6 Decision making and problem solving in today’s elec ...
Ontology learning from text based on multi
Ontology learning from text based on multi

... drastically the availability of electronically accessible information. Various automatic services aim at making access to information even more pervasive. However, this enormous amount of data has made it increasingly difficult to find, present and maintain the information required by a wide variety ...
The human brain in numbers: a linearly scaled-up
The human brain in numbers: a linearly scaled-up

... species as an outlier in the body × brain comparison is made clear if one considers that although gorillas and orangutans overlap or exceed humans in body size, their brains amount to only about one-third of the size of the human brain. There are, however, several problems with the notion that the e ...
In 9122 Applied Soft Computing
In 9122 Applied Soft Computing

... has to travel from one city to another and a must that he is not supposed to return to the same city again and finally he has to reach back to his starting position. For this the law of finding the solution is n-1!, where n is total number of cities, he has to travel and assuming that he has to trav ...
Robotics, Temporal Logic and Stream Reasoning
Robotics, Temporal Logic and Stream Reasoning

... abstraction. They often provide stream generators producing new streams satisfying policies, declarative specifications of desired stream properties. In this way, DyKnow supports conventional data fusion processes, but also less conventional qualitative processing techniques common in artificial int ...
Enhancing the Scientific Process with Artificial
Enhancing the Scientific Process with Artificial

... ration, but also for conceptual and logical consistency with existing knowledge. First, the concepts in of Artificial Intelligence hypotheses that are candidates for inclusion into a theory must be consistently defined with respect to AI methods have received much attention at all those already incl ...
Neural realisation of the SP theory
Neural realisation of the SP theory

... To get the flavour of the way in which Old patterns are created, consider a simple example. If the current pattern in New is ‘t h e b o y r u n s’ and the repository of Old patterns is empty, the system discovers that there is no way to encode the New pattern economically in terms of Old information ...
Common and Distinct Neural Substrates for Pragmatic, Semantic
Common and Distinct Neural Substrates for Pragmatic, Semantic

... In the current investigation, we adapt this approach to the demands of functional magnetic resonance imaging (fMRI) to study the neural correlates of pragmatic, semantic (SR), and syntactic (subcategorization) processing within spoken sentences. Nine subjects completed three experiments in which blo ...
Neural and Computational Mechanisms of Action Processing
Neural and Computational Mechanisms of Action Processing

... underlying computations remains rather limited. This fact stands in contrast with a wide variety of speculative theories about how action recognition might work, and how it might interact with other cognitive brain functions. This review focuses on new fundamental electrophysiological results in mon ...
CW32611616
CW32611616

... certain kinds of automated reasoning. In the 1980s, the AI community began to use the term ontology to refer to both a theory of a modeled world and a component of knowledge systems. Some researchers, drawing inspiration from philosophical ontologies, viewed computational ontology as a kind of appli ...
Child Development by DeHart
Child Development by DeHart

... Touch is more fully developed at birth than other senses. This is adaptive because touch is involved in many newborn reflexes. Even premature newborns and older fetuses feel pain. ...
essentials of expert system and its applications
essentials of expert system and its applications

... university of Stanford. In 1950, the AI field evolved into a machine which performs intelligently if an interrogate using remote terminals cannot distinguish its responses from those of humans which is tuning test. Thus resulting in general problem solving method. In 1960, AI is considered to be wel ...
Probabilistic Planning via Determinization in Hindsight
Probabilistic Planning via Determinization in Hindsight

... give a class of planning problems for which HOP is guaranteed to be optimal (when focusing solely on success ratio). Here we focus our analysis on the objective of maximizing goal achievement probability. In this case, R(s, F, π) is always either 1 or 0 depending on whether π reached the goal in the ...
PDF
PDF

... a tentative manner. Although this issue is debated in the philosophical literature, Prinz’s (2007, 2011a) stance is that high-level perceptual representations (such as concepts or categories, e.g., being a chair) are not part of the content of our experience: even-though third-level representations ...
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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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