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Higher Course Specification
Higher Course Specification

... Comparison of depth-first and breadth-first search (order of visiting nodes, memory implications, advantages and disadvantages, need for backtracking), and exemplification on a search tree Description and exemplification of combinatorial explosion Description and exemplification of use of heuristics ...
Poster - Dr. Tom Froese
Poster - Dr. Tom Froese

... These considerations make it evident that there is a pressing need of finding a principled way of integrating these two approaches into one coherent framework of autonomous systems research. What kind of research methodology is up to this task? On the side of behavioral autonomy one of the most popu ...
Case-Based Plan Adaptation: An Analysis and Review
Case-Based Plan Adaptation: An Analysis and Review

... previous problems. These plans are reused in the new situation by making suitable changes where appropriate (Carbonell, 1983; van der Krogt & de Weerdt, 2005). Transformation operators are knowledge constructs prescribing how to transform existing plans into new ones. In the CBP system CHEF, for exa ...
Qualitative Spatial Reasoning: Framework and Frontiers
Qualitative Spatial Reasoning: Framework and Frontiers

... reasoning, and that these reasons dominate the structure of theories for spatial reasoning in both people or machines. Our concise statement of this idea is the Poverty Conjecture (Forbus, Nielsen, & Faltings, 1987, 1991): There is no problem-independent, purely qualitative representation of space o ...
Intelligent Techniques for Decision Support System in Human
Intelligent Techniques for Decision Support System in Human

... areas and problem domains that can be explored by the intelligent system researchers or system developers. This can help to increase the IDSS products in market place as alternative tools to support and improve decision making processes for the specific problem domains. 3.2 Intelligent techniques in ...
Lecture transparencies
Lecture transparencies

... test is intelligent. ● However, the test does not provide much traction on the question of how to actually build an intelligent system. ...
Human Talent Prediction in HRM using C4.5 Classification Algorithm
Human Talent Prediction in HRM using C4.5 Classification Algorithm

... attracting and retaining the right leadership and key contributor; deploying existing talent; lack of leadership capability at senior levels and ensuring a diverse talent pool [19]. In this study, we attempt to focus on one of the talent management challenges i.e. to identify an existing talent rega ...
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 ...
TEKCOMMON LISP PROGRAMMING LANGUAGE - Wirfs
TEKCOMMON LISP PROGRAMMING LANGUAGE - Wirfs

... 4400 Series. It provides Al researchers and software developers with a personal Lisp programming environment previously available only on dedicated Lisp machines; ■ Powerful optimizing compiler with built-in debugging features ...
Web 2.0 vs. the Semantic Web: A Philosophical Assessment
Web 2.0 vs. the Semantic Web: A Philosophical Assessment

... and noisy market of ideas: one, unmistakeably Berners-Lee’s, advocates the Semantic Web, the other, easily recognisable as O’Reilly’s, supports the so-called Web 2.0. As usual, philosophers have been rather quiet on the issue, but it is time to break the silence and take sides. This is what I intend ...
Document
Document

... Then in 1957, the GPS, or General Problem Solver created by Herbert Simon, J.C. Shaw, and Allen Newell came to fruition. It was made and programmed in LISP (“a practical mathematical notation for computer programs”), and could solve theorms, geometric problems, and could even play chess. Then, impro ...
Representing Probabilistic Rules with Networks of
Representing Probabilistic Rules with Networks of

... So far we only discussed the extraction of learned knowledge from a neural network. For many reasons the“reverse” process, by which we mean the incorporation of prior high-level rule-based knowledge into the structuring and training of a neural network, is of great importance as well. First, a netwo ...
systemy doradcze w medycynie
systemy doradcze w medycynie

... calculating the PNS, and displaying the results. The physician has the choice to adjust calculated values according to special clinical requirements. The final output is a PNS schedule that can be used directly in the case history of neonates. Possible input and dosage errors are eliminated by metho ...
Performance Analysis of Classifiers to Effieciently Predict Genetic
Performance Analysis of Classifiers to Effieciently Predict Genetic

... instances to generate classification predictions. While several researchers demonstrated that edited nearest neighbour algorithms can reduce storage requirements with, at most, small losses in classification accuracy, they were unable to predict the expected savings in storage requirements. IBL algo ...
If It Works, It`s Not AI: A Commercial Look at
If It Works, It`s Not AI: A Commercial Look at

... The goal of this thesis is to learn from the successes and failure of a select group of artificial intelligence (AI) firms in bringing their products to market and creating lasting businesses. I have chosen to focus on AI firms from the 1980s in both the hardware and software industries because the ...
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" ...
Creating New Pathways to Justice Using Simple Artificial
Creating New Pathways to Justice Using Simple Artificial

... information explains complex court procedures, but she has not been sued yet. The woman knows she needs to do something, but has no idea how to take action. This article offers a conceptual overview for an artificial intelligence (AI)based system designed to support non-experts in the justice contex ...
AAAI Fall Symposium Series - Association for the Advancement of
AAAI Fall Symposium Series - Association for the Advancement of

... of the symposium is to bring together researchers from a diverse set of areas with a common interest in design from physical principles. These areas include, among others, modeling, dynamics, qualitative, temporal, geometric and terminological reasoning, as well as planning, diagnosis, learning, aut ...
Knowledge Discovery System For Cost
Knowledge Discovery System For Cost

... This large set of materials and the manufacturing process available to engineers, coupled with complex relationships between the different quantifiable characteristics, often make selection of materials for a given component a difficult task. If the selection process is made haphazardly, there will ...
Intellectual issues in the history of artificial intelligence
Intellectual issues in the history of artificial intelligence

... Similarly, the more sophisticated units of historical analysis, such as the paradigms of Kuhn or the research programmes of Lakatos, provide too course a grain. [Kuhn, 1962; Lakatos, 1970.] It can be argued that AI has developed and maintained a single paradigm over its short lifetime, or at most tw ...
The Legacy of Alan Turing and John von Neumann
The Legacy of Alan Turing and John von Neumann

... arguments against the possibility of constructing intelligent machines. ”The reader will have anticipated that I have no very convincing argument of a positive nature to support my views. If I had I should not have taken such pains to point out the fallacies in contrary views. Such evidence as I hav ...
Genetic Algorithm Optimization of Membership Functions for
Genetic Algorithm Optimization of Membership Functions for

... Use an heuristic function (or objective or evaluation function) to decide which direction to move in the search space. Always move toward the state that appears to be best (basing all decisions on local information). Assume that we want to maximize the value of the function. Can also be used for min ...
The Independent Choice Logic and Beyond
The Independent Choice Logic and Beyond

... failure”). The stable model semantics is particularly simple with acyclic logic programs [Apt and Bezem, 1991]. A model specifies the truth value for each ground atom. A stable model M is a model where a ground atom a is true in M if and only if there is a clause in the grounding of the logic progra ...
Some Elements for a Prehistory of Artificial Intelligence in the Last
Some Elements for a Prehistory of Artificial Intelligence in the Last

... mid-fifties of the XXth century. Beyond its immediate roots in cybernetics and in computer science that started about two decades before, its emergence is the result of a long and slow process in the history of humanity. This can be articulated around two main questions: the formalization of reasoni ...
Management Information Systems Chapter 12 Enhancing Decision
Management Information Systems Chapter 12 Enhancing Decision

... – Managerial roles • Classical model of management- describes what managers do, but does not explain what they do when they plan, decide things, and control the work of others • Behavioral models- states that the actual behavior of managers appears to be less systematic, more informal, less reflecti ...
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Knowledge representation and reasoning

Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.Examples of knowledge representation formalisms include semantic nets, systems architecture, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
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