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A Bio-inspired Redundant Sensing Architecture
A Bio-inspired Redundant Sensing Architecture

... Visual systems have perfected the art of sensing through billions of years of evolution. As an example, with roughly 100 million photoreceptors absorbing light and 1.5 million retinal ganglion cells transmitting information [2, 3, 4], a human can see images in three-dimensional space with great deta ...
The Neural Basis of Individual Holistic and Spectral Sound Perception
The Neural Basis of Individual Holistic and Spectral Sound Perception

... predominant listening mode. More than seventy years ago, the anatomist Pfeifer (1936) argued, that ‘if there is any relation between morphology and function, the sense of hearing must show the most pronounced variations’ (see also Steinmetz et al., 1989). Indeed, Schneider et al. (2002, 2005b) found ...
The Number of Cortical Neurons Used to See
The Number of Cortical Neurons Used to See

... the stimulus is travelling in (Hubel et. al. 1962). Complex cells are the nonlinear combinations of two receptive field subunits, and thus take two samples from the image (Spitzer and Hochstein 1985). Despite a great deal of study of V1, there is no good account for how people use those neurons to s ...
Last Lecture Today
Last Lecture Today

... – It can be difficult to extract expertise from humans – The vocabulary that experts use to express facts and relations is often limited and not understood by others – The approach of each expert to a situation assessment may be different yet correct – It is difficult to abstract good situational as ...
Fuzzy Logic and Neural Nets
Fuzzy Logic and Neural Nets

... • In this example, we slow down either way, but we slow down more with Mean of Max – Mean of max is cheaper, but center of mass exploits more information ...
Ch 16 - Motivation - Head
Ch 16 - Motivation - Head

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Hardware: Input, Processing, and Output Devices
Hardware: Input, Processing, and Output Devices

... Different expert systems can perform interpretation of individual events (ex. terrorist activities) Interpretation can serve as input to neural network Network identifies likelihood of perpetrator or commonalities among events ...
emotional learning: a computational model of the amygdala
emotional learning: a computational model of the amygdala

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Revisiting Turing and His Test
Revisiting Turing and His Test

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The processing consequences of compositionality

... constraints on content in the computation of the meaning of a complex expression. 3For a modular view of semantics, see among others Borg (2004) and Robbins (2007) for a critical discussion. 4Jackendoff (1997) makes the same point: “The hypothesis of syntactically transparent semantic composition ha ...
An Integrated Approach of Learning, Planning, and Execution
An Integrated Approach of Learning, Planning, and Execution

... build planning operators that model its environment (Fritz et al., 1989; GarcíaMartínez, 1993; García-Martínez, 1997). In this context, machine learning applied to planning has mainly focused on learning control knowledge in many different ways such as: macrooperators (Fikes et al., 1972), control r ...
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Anatomy of Lower Limb and Foot

... Elastic ...
A Tour Towards Knowledge Representation Techniques
A Tour Towards Knowledge Representation Techniques

... present in the incoming text for Ex. Mobile is ringing then the process is going on in this incoming knowledge means some sound is coming and the root of ringing is ring. If the sentence is like ram is a boy then no action will be performed. If the incoming knowledge is simple sentence then we can r ...
A Planning Graph Heuristic for Forward-Chaining
A Planning Graph Heuristic for Forward-Chaining

... is not static. The exogenous dynamics can be caused by “nature” or by one or more other agents sharing the same environment. Other agents can behave neutrally (simply following their own independent agenda or otherwise acting unpredictably), adversarially, or cooperatively with respect to the protag ...
Descartes` Error: Emotion, Reason, and the Human Brain
Descartes` Error: Emotion, Reason, and the Human Brain

... normal reasoning process also reveal the potentially harmful influ­ ence of emotional biases. It is thus even more surprising and novel that the absence of emotion and feeling is no less damaging, no less capable of compromising the rationality that makes us distinctively human and allows us to deci ...
Nervous and Endocrine Systems
Nervous and Endocrine Systems

... with certain receptors can receive the signals. Think of your nervous system being like cable television. A physical wire connects your television to the cable provider. Similarly, your nervous system sends its signals through a physical network of specialized tissues. The nervous and endocrine sy ...
3 Behavioral Neuroscience - McGraw Hill Higher Education
3 Behavioral Neuroscience - McGraw Hill Higher Education

... Though our genes direct our physical development, their effects on our behavior are primarily indirect (Mann, 1994). There are, for example, no “motorcycle daredevil genes.” Instead, genes influence physiological factors, such as hormones, neurotransmitters, and brain structures. These factors, in t ...
Strategic Planning for Unreal Tournament© Bots
Strategic Planning for Unreal Tournament© Bots

... Initially, our plan was to represent the methods and operators using a declarative syntax such as the one exemplified in Figures 2 and 4. We found quickly two problems with this approach. First, preconditions such as the ones described in Figure 2 can be difficult to express. Take for example the 4t ...
Neural Basis of Prosopagnosia: An fMRI Study
Neural Basis of Prosopagnosia: An fMRI Study

... Activation obtained for objects (B–E) and faces (G–J) compared green in the diagram), whereas faces compared to scrambled faces to control stimuli in the right hemisphere of a normal subject (B,G) activated two areas: the anterior part of the collateral sulcus and and in three prosopagnosic patients ...
The Cognitive Neuroscience of Human Decision Making: A Review
The Cognitive Neuroscience of Human Decision Making: A Review

... synthesis of a variety of kinds of information: multimodal sensory inputs, autonomic and emotional responses, past associations, and future goals. These inputs must be integrated with information about uncertainty, timing, cost-benefit, and risk and then applied to select appropriate actions. This p ...
Multisensory anatomical pathways - Centre de Recherche Cerveau
Multisensory anatomical pathways - Centre de Recherche Cerveau

... occur is probably reflecting an adaptive mechanism by which individual perceptual or sensory-motor situations involve a specific multisensory network. We describe in this review connections in the brain that may represent the support for early multisensory integration, such as cortico-cortical connect ...
- Cambridge Center for Behavioral Studies
- Cambridge Center for Behavioral Studies

... In 1972, Terry Winograd published his doctoral research at MIT on the SHRDLU system. SHRDLU simulated the actions of a robot interacting with a “blocks world” of different colored and shaped blocks which could be placed on a table or put in a box. It maintained an internal model of the state of the ...
Artificial Intelligence UNIT I Page 1 of 116 CSE– Dhaanish Ahmed
Artificial Intelligence UNIT I Page 1 of 116 CSE– Dhaanish Ahmed

... “It is not my aim to surprise or shock you-but the simplest way I can summarize is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until-in a visible future-the range of problems they can ...
Arguing with emotion (PDF Available)
Arguing with emotion (PDF Available)

... effect every emotion type: with sense of reality, the issue is whether the eliciting EAO actually occurred or was a hypothetical situation; proximity relates to how temporally close the EAO prompt is; unexpectedness bears on whether the agent was surprised or not with the EAO; and arousal expresses ...
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... •Any public performance or display, including transmission of any image over a network; •Preparation of any derivative work, including the extraction, in whole or in part, of any images •Any rental, lease or lending of the program. ...
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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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