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Tabu Search
Tabu Search

... local optima (where all the neighbouring solutions are nonimproving) by guiding a steepest descent local search (or steepest ascent hill climbing) algorithm ...
Human-Guided Tabu Search - Computer Science
Human-Guided Tabu Search - Computer Science

... Note that setting element 3 to low mobility essentially divides the problem into two much smaller subproblems. Also, while medium-mobility elements can change position, their relative order cannot be changed. Mobility constraints can drastically reduce the search space; for this example, there are ...
Rule Based Expert System for Medical Diagnosis-A Review
Rule Based Expert System for Medical Diagnosis-A Review

... Conventional computer programs perform tasks using a decision-making logic containing very little knowledge other than the basic algorithm for solving that specific problem. The basic knowledge is often embedded as part of the programming code, so that as the knowledge changes, the program has to be ...
A General Reading List for Artificial Intelligence
A General Reading List for Artificial Intelligence

... Much of the early work in search (and AI) was done in the context of game playing programs. Chess has posed particularly challenging problems here. Berliner’s paper proposes the I3* algorithm for searching game and proof trees. The main idea in this algorithm is the use of two bounds to rut off sear ...
PDF
PDF

... (1996) assessed payment requirements and management-practice decisions associated with the Water Quality Incentive Program. They conclude that information alone may be enough to generate adoption by some nonparticipants, but also that the USDA’s current payment is too low to generate broad participa ...
A framework for making sophisticated robotics accessible
A framework for making sophisticated robotics accessible

... Sensor Groups: Robot morphologies (shapes) vary from robot to robot. This also affects the way sensors, especially range sensors, are placed on a robot’s body. Additionally, the number of sensors present also varies from platform to platform. For example, a Pioneer2 has 16 sonar range sensors while ...
Practical Algorithms for Computing STV and Other - EXPLORE-2017
Practical Algorithms for Computing STV and Other - EXPLORE-2017

... the frontier, one for each elimination of an alternative with the lowest score. We use depth first search and employ the following techniques to improve the performance, and expand on them later. (i) pruning involves removing a state from the frontier if all the remaining alternatives are known winn ...
IJAI-13 - aut.upt.ro
IJAI-13 - aut.upt.ro

... Among heuristic search approaches, it is of special interest for current work to highlight the approaches based on different metaheuristics (Talbi, 2009). Heuristic and metaheuristic based algorithms have been successfully applied to loads of practical domains. Some recent examples may be emerging s ...
Module 2
Module 2

... - Analyse the problem thoroughly for some features may have a dominant affect on the chosen method of solution; - Isolate and represent the background knowledge needed in the solution of the problem; - Choose the best problem solving techniques in the solution. Defining the Problem as state Search T ...
Artificial Intelligence 2.2 Heuristic (Informed) Search
Artificial Intelligence 2.2 Heuristic (Informed) Search

... c) Give an argument why your heuristic is or is not admissible + monotone. Hint: the goal of this exercise is to investigate how A* explores the search and how this is influenced by the heuristic. Your heuristic does not need to be admissible and monotone. ...
Experimental Comparison of Uninformed and Heuristic AI
Experimental Comparison of Uninformed and Heuristic AI

... implementations of the popular AI algorithms, namely Breadth First Search, Depth First Search, A*, Best First Search and Hill climbing algorithms for solving a sliding n-puzzle in an attempt to look at the better efficient of the algorithms for this case. To solve the sliding n puzzle problem, one m ...
Word - Egodeath.com
Word - Egodeath.com

... How Real are These “Real-World” Analogies? Copycat’s Position along the Symbolic/Subsymbolic Spectrum Postscript Indurkya’s View of Creativity, and the PAN Model Kokinov’s AMBR System -- Associative Memory-Based Reasoning 7a. Retrieval of Old and Invention of New Analogies The Lifelike Appearance of ...
The Isabelle Framework - Software and Systems Engineering
The Isabelle Framework - Software and Systems Engineering

... smoothly into the Isabelle/Isar framework. The Isabelle distribution already incorporates locales, classes, and class instantiation contexts into the local theory infrastructure. Other approaches to modular theories like AWE [13] could be integrated as well. Internally, all aspects of locality in Is ...
an implementation of expert system for
an implementation of expert system for

... users can search any disease by identifying their problems. Whereas the Figure 7 shows a knowledgebase consists of production rules. The production rule is typically expressed as IF (condition or premise), THEN (action or conclusion) keywords, and could have more than one condition. Conditions can b ...
- PPT Topics
- PPT Topics

... (6) KBS as real-world problem solvers - Problem-solving power does not lie with smart reasoning techniques nor clever search algorithms but domain dependent real-world knowledge - Real-world problems do not have well-defined solutions - Expertise not laid down in algorithms but are domain dependent ...
Artificial Intelligence
Artificial Intelligence

... each assignment, including the contribution of each member. All submitted assignments will have to be accompanied by a short documentation as well. There can be at most 3 members in a group. ...
Beyond Keywords: The Revolution in Search
Beyond Keywords: The Revolution in Search

... a natural or intuitive way to ask a question. Conversational and natural language based search interfaces are an active area of research and innovation in search technology. Query Taxonomy There have been many attempts to create a systematic categorization of queries (Hearst 2009). An influential cl ...
Bootstrap Planner: an Iterative Approach to Learn Heuristic
Bootstrap Planner: an Iterative Approach to Learn Heuristic

... Zilles, and Holte 2010) and Fern et al. (Fern, Yoon, and Givan 2004). The algorithm discussed in Jabbari Arfaee et al. (2010) iteratively improves an initial heuristic function by solving a set of successively more difficult training problems in each iteration. This algorithm is ideal when a batch o ...
CS6659-ARTIFICIAL INTELLIGENCE
CS6659-ARTIFICIAL INTELLIGENCE

... example, at a road junction, the taxi can turn left, turn right, or go straight on. The correct decision depends on where the taxi is trying to get to. In other words, as well as a current state description, the agent needs some sort of goal information that describes situations that are desirable-f ...
Medical Expert Systems for Diagnosis of Various Diseases
Medical Expert Systems for Diagnosis of Various Diseases

... diagnosis is made using the readings obtained from clinical exam and the paraclinical exam. This system helps the medical expert in making the suitable analysis of a patient. A lot of common symptoms often occur in kidney diseases and many of them are alike, and that makes it difficult even for a ki ...
artificial intelligence - MET Engineering College
artificial intelligence - MET Engineering College

... successes. The following statement by Herbert Simon in 1957 is often quoted: ...
Parameterized Splitting: A Simple Modification
Parameterized Splitting: A Simple Modification

... the top part. To obtain answer sets of the original program one simply has to combine an answer set of the simplified top part with the answer set which was used to simplify this part. Similar splitting results were later proven for other nonmonotonic formalisms and also Dung style argumentation fra ...
2012 version HERE . - School of Computer Science
2012 version HERE . - School of Computer Science

... There are recurring debates about how to teach children to read, by debaters who have never designed or debugged a machine that is capable of visual perception, language production, language understanding, thinking, learning, or reading stories. In particular, uninformed battles rage on whether to u ...
Expert Systems - Myreaders.info
Expert Systems - Myreaders.info

... ‡ Can address imprecise and incomplete data through assignment of confidence values. ...
2. Computers: The Machines Behind Computing.
2. Computers: The Machines Behind Computing.

... • Computers perform arithmetic, logical, and storage and retrieval operations • To process data a computer requires input, output, and memory devices • Software is all the programs that run a computer system • Computer languages include machine, assembly, high-level, fourth- and fifthgeneration lang ...
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Computer Go

Computer Go is the field of artificial intelligence (AI) dedicated to creating a computer program that plays Go, a traditional board game.
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