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Agent-Based Software Engineering
Agent-Based Software Engineering

... For many researchers in AI, this idea of programming computer systems in terms of ‘mentalistic’ notions such as belief, desire, and intention is the key component of agent-based computing. The concept was articulated most clearly by Yoav Shoham, in his agent-oriented programming (AOP) proposal [57]. ...
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... human speech, reasoning, making good guesses, playing games, and formulating plans and objectives. And indeed, AI research focuses on how to get machines or computers to carry out activities such as these. On the other hand, it is important to note that the goal of AI is not to simulate biological i ...
cognitive wheels: the frame problem of ai daniel c. dennett
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... Room, t) would result in the battery being removed from the room. Straightaway it acted, and did succeed in getting the battery out of the room before the bomb went off. Unfortunately, however, the bomb was also on the wagon. R1 knew that the bomb was on the wagon in the room, but didn't realize tha ...
Knowledge Based System and Database Management System: An
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... must have exactly one parent record of the parent type. Network database enlarges the flexibility by allowing multiple link types between record types and a given record instance having multiple parent record instances of a given record type. Thus many to one and many to many relationships are easil ...
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... principles, and theories.  Construct an explanation based on valid and reliable evidence obtained from a variety of sources (including students’ own investigations, models, theories, simulations, peer review) and the assumption that theories and laws that describe the natural world operate today as ...
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Practical Issues in Modeling Large Diagnostic Systems with Multiply
Practical Issues in Modeling Large Diagnostic Systems with Multiply

... be included in each d-sepset between subnets. The resultant representation will be a valid MSBN (assuming that other constraints are also satisfied). In practice, faults can form a spectrum from local to global. For instance, the overheating variable h in the above example may affect the three compo ...
Expert system methodologies and applications—a decade review
Expert system methodologies and applications—a decade review

... This paper surveys expert systems (ES) development using a literature review and classification of articles from 1995 to 2004 with a keyword index and article abstract in order to explore how ES methodologies and applications have developed during this period. Based on the scope of 166 articles from ...
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... Blood flow is faster and re-distributed to working muscles. More O2 reaches muscles and more CO2 removed. Arteries dilate (widen) to maintain Blood Pressure. The skin reddens as blood moves to the surface of the skin to help lose heat through Radiation and prevent overheating. The body sweats more t ...
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Review of Reasoning Methods in Clinical Decision Support Systems

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... intellectual development of the field is important (Culnan (1986).  Researchers can benefit by understanding this process and its outcomes because it  reveals the vitality and the evolution of thought in a discipline  gives a sense of its future  identifies the basic commitments that will serve ...
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... whole must satisfy. Candidate solutions are generated and tested against the specified constraints. Two subclasses are: constraint satisfaction in which the solution need only satisfy the governing constraints, and optimization where an attempt is made to find the optimal solution. The design of a p ...
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... planning, thus requiring the manual representation of many combinations of these elements. Special-purpose systems on the other hand, have good accuracy and performance in the special cases they are meant to, but their generalization and extension is difficult and requires a lot of work. They often ...
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... Even if we assume that the rich and loaded (but profound and profoundly important) concepts of general intelligence (GI) and creativity have both been rigorously defined to everyone’s satisfaction, my title has no fixed, univocal meaning in the absence of how to understand ‘Require’. Suppose that we ...
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... Knowledge representation is the way the complete artificial intelligence system strategy is organized—that is, how the knowledge engineer represents the expert’s input. This representation is stored in the knowledge database of the AI system. In rule-based knowledge representation, the expert’s know ...
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... Advanced View - a more powerful domain and process editor allows for multiple perspectives and views to be used to create rich process models beyond those that can be created with the simple view editor. This can be reached by selecting advanced view from the simple domain/process editor. It is also ...
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... a nonspecific perturbation of the lipid bilayer membrane of neurons, the cells responsible for the “information” function of the central nervous system, to the interaction of the anesthetic agent with specific protein receptors [13]. It is certainly possible that if the mechanism of general anesthes ...
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... The first one relates to fractal modeling and coding of 2D and 3D graphics together with their multiresolution representation. Fractal modeling is based on relation between IFS (Iterated Function Systems) coefficients and subdivision schemes together with new ideas (fractal homeomorfisms, stealing c ...
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... • Change mental representation of problem – Problem space • Initial or goal states • Available operators • Constraints If a pond lily doubles every day and it takes 30 days to completely cover a pond, on what day will the pond be 1/2 covered? ...
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... Tutorial Goals and Learning Objectives This tutorial aims to provide a coherent view of the broad range of artificial intelligence techniques that have been and are currently being developed for the personalized recommendation of products, documents, or collaborators. Whereas previous tutorials have ...
Expert System Used on Materials Processing
Expert System Used on Materials Processing

... Artificial neural networks (ANN) called sometimes simply neural networks (NN) are formed from groups of artificial neurons, interconnected between them, which based on an algorithm process the received information. Practically networks are work instruments that make a regression analysis on the data ...
Artificial Intelligence and Environmental Decision Support Systems
Artificial Intelligence and Environmental Decision Support Systems

... of global warming gases), while other actions might combine synergistically to create an impact which is much greater than that which would be predicted using a reductionist approach (e.g., nitrogen dioxide and hydrocarbons can react to produce tropospheric ozone). Thus, further analysis is required ...
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15.2 ARTIFICIAL INTELLIGENCE (p. 464)

... All day, every day, businesses makes decisions – big ones and small ones. Computer systems can help decision making by providing fast and accurate analysis capabilities. Here are some examples.  A national insurance company used a DSS to analyze its risk exposure when insuring drivers with historie ...
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Incomplete Nature



Incomplete Nature: How Mind Emerged from Matter is a 2011 book by biological anthropologist Terrence Deacon. The book covers topics in biosemiotics, philosophy of mind, and the origins of life. Broadly, the book seeks to naturalistically explain ""aboutness"", that is, concepts like intentionality, meaning, normativity, purpose, and function; which Deacon groups together and labels as ententional phenomena.
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