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Disjunctive Temporal Planning with Uncertainty
Disjunctive Temporal Planning with Uncertainty

... single-disjunct executable constraints. Thus, since a component STP arising with the second disjunct of (1) is consistent, the whole problem is trivially controllable. While so for this particularly simple example of a DTPU, more interesting DTPUs are not TC in general. ...
Chapter 9 Not Knowing Mar. `10 “Ignorance is the necessary
Chapter 9 Not Knowing Mar. `10 “Ignorance is the necessary

... honoured, inputs to our reasoning devices are free from the taint of ignorance (or in a softer version, lack of reason to believe). There are two interesting kinds of case which give the lie to thinking so. In each, ignorance plays a crucial and cognitively virtuous role. In the one, it is a conditi ...
A Knowledge Representation Tool for Autonomous Machine
A Knowledge Representation Tool for Autonomous Machine

... and manipulations in cognitive informatics and computational intelligence. Before an abstract concept is introduced, the semantic environment or context [3], [5], [6], [8] in a given language, is introduced. Then, the structural model of abstract concepts, basic concept operations, and knowledge rep ...
Reasoning about Action and Cooperation
Reasoning about Action and Cooperation

... The cooperation modality of Coalition Logic expresses the ability of a group to obtain a certain state of affairs. This kind of expression can now be analysed using the two modules described above: a group G of agents has the ability to obtain a state of affairs φ just in case there exists a plan β ...
Sensory Pathways
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... • Arriving stimulus reaches cortical neurons via labeled line • Takes many forms (modalities) • Physical force (such as pressure) ...
Artificial Intelligence: a Promised Land for Web Services
Artificial Intelligence: a Promised Land for Web Services

... service composition. The approaches described in this section show that composition can be assisted through the use of class definitions, inheritance hierarchies and model and rule-based reasoning. In many cases, decision making is left to humans. The only automated composition offered is in limited ...
Coming of Age - Computational Creativity Group
Coming of Age - Computational Creativity Group

... considering who is the intended audience and whether the output is expected to be novel with respect to previous outputs by the same system (or only with respect to an inspiring set). He then focuses on computational creativity and discusses a number of issues that have been identified as relevant t ...
Fortnightly Thoughts
Fortnightly Thoughts

... The real consequences of AI A broad way to define artificial intelligence or AI is that it is any intelligence exhibited by machines or software. By this we mean machines which can think, which are able to not just process data into information, but also derive knowledge from that information to aug ...
Open resource
Open resource

... over the next 20 years. These projections were made following interviews with leaders in the fields of sensing, mobility, machine cognition, automatic target recognition and power, and they were vetted at an Unmanned Effects Workshop (August, 2003) that involved many of the leading scientists in the ...
Auditory Brain Development in Children With Hearing Loss– Part One
Auditory Brain Development in Children With Hearing Loss– Part One

... projections). It has been proposed that efferent fibers from the Uncinate fasciculus secondary auditory cortex likely play a role in tuning the primary auditory cortex, to focus on primary signals of interest (David. Inferior longitudinal fasciculus Proc Natl Acad Sci USA 2012;109:2144). Typical rea ...
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- Philsci

... components with artificial devices. However, I will argue that the two classes of studies differ from one another from a methodological point of view, namely, in the nature of the scientific question addressed and in the experimental procedure. First, I will show that the stimulation-connection meth ...
MEETING FLORIDI`S CHALLENGE TO ARTIFICIAL INTELLIGENCE
MEETING FLORIDI`S CHALLENGE TO ARTIFICIAL INTELLIGENCE

... Of course, anyone convinced not only of AI's ability to eventually create creatures that appear to have minds but also of its ability to produce artificial minds, will want to show that Floridi's challenge can be surmounted. One of the remarkable aspects of his article is that it targets both "weak" ...
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74.419 Artificial Intelligence 2002 Description Logics

... accessible from the current world. That means these worlds are not only accessible but necessary worlds (respective to the agent and its knowledge). If Agent A believes P, then P can be true in some accessible worlds, and false in others. ...
Soto-Faraco (2003) Multisensory contributions to the perception of
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... Researchers have also shown that the presentation of two stationary stimuli in different modalities can sometimes elicit a sensation of movement within one of the modalities (e.g. Hikosaka, Miyauchi, Takeichi, & Shimojo, 1996; Shimojo, Miyauchi, & Hikosaka, 1997; see also Maass, 1938). For example, ...
Neurons
Neurons

... The human brain is densely packed with more than one hundred billion neurons, perhaps as many as a trillion or more (Johnson, 1994). From the time we are born, as we begin learning about the world around us, our brains become an increasingly complex network of billions upon billions of interlaced ne ...
EN Sokolov`s Neural Model of Stimuli as Neuro
EN Sokolov`s Neural Model of Stimuli as Neuro

... modulating system comprises nerve cells associated with the processing of information that circulates between the neural networks that make up the afferent and effector subsystems of the conceptual reflex arc. The reflex arc activity can be represented as follows: receptors are specific sensory devi ...
Artificial Intelligence and Moral intelligence
Artificial Intelligence and Moral intelligence

... This increasingly artificial world, generated by the man-machine interaction, produces not just a growing complexity of the machine, but of humanity itself and of its moral values. The human species evolves in all its dimensions: biotical, psychical, social and cultural. Now it evolves towards artif ...
Determining the number of model runs: Treating cognitive models as
Determining the number of model runs: Treating cognitive models as

... We begin with our view of simulation. This will require talking about several layers of a simulation taxonomy until we reach the level at which this chapter is aimed, and then illustrating the problem and quantifying the solution for an example simulation. The methodology that we are prescribing pro ...
Cranial Nerves: Assessment of Functions
Cranial Nerves: Assessment of Functions

... significance or may occur as a result of a variety of abnormalities, including syphilis, multiple sclerosis, and sympathetic paralysis. If both pupils are markedly smaller or larger than normal, medication may be the cause. Ask the subject if he or she is taking any medication that affects the eye ( ...
2 Characteristics of Artificial Intelligent Agents (AIA)
2 Characteristics of Artificial Intelligent Agents (AIA)

... This increasingly artificial world, generated by the man-machine interaction, produces not just a growing complexity of the machine, but of humanity itself and of its moral values. The human species evolves in all its dimensions: biotical, psychical, social and cultural. Now it evolves towards artif ...
What Are Emotional States, and Why Do We
What Are Emotional States, and Why Do We

Persistent perceptual delay for head movement onset
Persistent perceptual delay for head movement onset

... GVS were significantly slower by 197 to 241 ms compared to the other stimuli. These results were surprising because of the fast transduction latencies of the vestibular afferents. In addition, people do not perceive each of the individual senses separately, as one would expect with such a large disc ...
Chap1&2
Chap1&2

... do not know how to make the sounds you are hearing. In the next year, you figure out what the sounds of your parents' language are and how to make them. • You are a one-year-old child learning Arabic. You hear strings of sounds and figure out that they are associated with particular meanings in the ...
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... the original program: a hash is a unique value based on content of the program file, and if content changes then hash value changes ...
Intelligent Counselor: An Intelligent Advisory System
Intelligent Counselor: An Intelligent Advisory System

... of making decision, advisory system helps to guide the decision maker in decision making process. It leaves the final decision making authority up to the decision maker. One of the main problems faced by students is to take the right decision regarding specific course in relation to their academic 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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