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Artificial Intelligence 2.2 Heuristic (Informed) Search
Artificial Intelligence 2.2 Heuristic (Informed) Search

... a) Formalize the vacuum world with a variable number of rooms, one cleaning agent, the actions left, right, up, down, suck (each with costs 1) that are always executable in any state. A room can be clean or dirty, with some random dirt distribution that is known to the agent. The goal is to have all ...
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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 ...
Bounded rationality, biases and superstitions
Bounded rationality, biases and superstitions

... o Heuristics vs. classical rationality o Assumes independence of systems ...
The DARPA High Performance Knowledge Bases
The DARPA High Performance Knowledge Bases

... related tasks (for example, medical expert systems, planning, modeling of physical processes, scheduling and logistics, natural language understanding), the architects of the systems realize, often too late, that someone else has already done, or is in the process of doing, the hard ontological work ...
Bayesian Ontologies in AI Systems - Department of Information and
Bayesian Ontologies in AI Systems - Department of Information and

... where the term entity refers to any concept (real or fictitious, concrete or abstract) that can be described and reasoned about within the domain of application. Any representational scheme that attempts to convey all the details and idiosyncrasies of a complex domain must be highly expressive. Alt ...
Reaching the Goal in Real-Time Heuristic Search: Scrubbing
Reaching the Goal in Real-Time Heuristic Search: Scrubbing

... in the previous section demonstrated that the travel cost can depend on the tie-breaking schema used by the agent. Since it may not always be possible to design the best tie-breaking schema for a given problem (or series of problems), we consider the agent’s performance with sufficiently suboptimal ...
Characterizing cognition in ADHD: beyond executive dysfunction
Characterizing cognition in ADHD: beyond executive dysfunction

... verbal and spatial working memory) ranging in effect from dZ0.4–0.7 [19]. A meta-analysis focused on working memory examined a somewhat different subset of studies and detected stronger effects (dZ0.85–1.14) when spatial working memory manipulation was distinguished from simple storage [33]. Thus, m ...
Practical Artificial Intelligence For Dummies
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Chapter 4: A Matter of Personality
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Recounting the impact of Hubel and Wiesel
Recounting the impact of Hubel and Wiesel

... they produced little related to what it did. And this is what anyone interested in perception or visual behaviour wanted to know. There were attempts to relate visual physiology to perception, but they were severely limited by the techniques available. An example of one of the best of these is an ex ...
Background Paper 3 - Yale School of Medicine
Background Paper 3 - Yale School of Medicine

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Constraint-Based Knowledge Representation for Individualized
Constraint-Based Knowledge Representation for Individualized

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Incorporating the results of co-word analyses to increase search

... We combined all the terms that appear with a given keyword in all the three thesauri. We did this because if we had taken the terms appearing only in one thesaurus, then the number of keywords appearing with a given search term would be very few. In other words, combining the keywords that appear al ...
Representation, Computation, and Observer
Representation, Computation, and Observer

... In such cases, where two systems are physically very different, it is a common strategy to say that they are computing the same function if their inputs and outputs are representationally equivalent. We cannot simply appeal to the physical equivalence of the inputs and outputs, for this will differ ...
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... the subpallial relationships among birds, reptiles and mammals came challenges to the classical view of the relationships among their pallia. The mammalian pallium includes the areas known as palaeocortex, archicortex and neocortex; and has been said, more recently, to include both the claustrum and ...
Michael Arbib and Laurent Itti: CS564
Michael Arbib and Laurent Itti: CS564

... The aspect of real training that corresponds most closely to the supervised learning paradigm is the trainer's role in telling or showing the learner what to do, or explicitly guiding his or her movements. When motor skills are acquired without the help of an explicit teacher or trainer, learning fe ...
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Sample Chapter
Sample Chapter

... of standard chess playing. Out of all legal moves, only those moves, which bring the board position to a winning position of respective player are captured and stored in procedural part. However, in chess the total ‘legal moves’ are of the order of 10120. Such a large number of moves are difficult t ...
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cerebral cortex - CM

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Hasson-JNeurosci2008.. - Center for Neural Science
Hasson-JNeurosci2008.. - Center for Neural Science

... segments and scrambled at each of three time scales: short (4 $ 1 s), intermediate (12 $ 3 s), and long (36 $ 4 s). Each original film was first divided into the segments defined by the director’s cuts. For the short time scale, segments that were longer than 6 s was further divided into the minimal ...
call for papers - IUI 2017
call for papers - IUI 2017

... ACM IUI is where the Human-Computer Interaction (HCI) community meets the Artificial Intelligence (AI), with contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design or the arts. Our focus is to improve the interaction between humans and ...
parsing with flexibility, dynamic strategies, and idioms in mind
parsing with flexibility, dynamic strategies, and idioms in mind

... relation to another constituent, to a preferred position, all the way down to simply admittable positions. Parsing is the process of building an internal representation of the sentence, while disambiguating in local conditions of uncertainty. In this sense we follow a non-deterministic approach that ...
Fiqure 4: The Binomail distribution
Fiqure 4: The Binomail distribution

... With the rapid growth of documents, web pages and other different textual content, great challenges of relatedness have been posed to the current content based systems. Semantic technology plays a vital role and offers a feasible approach to documents management in which it makes possible to retriev ...
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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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