Business Intelligence: Optimization for Decision Making
... Amazon, Barclays, Facebook, Google, Lloyds, Microsoft, Sainsbury’s, TESCO, ... Data! The answer to my problem is hidden in my data... but I cannot dig it up! ...
... Amazon, Barclays, Facebook, Google, Lloyds, Microsoft, Sainsbury’s, TESCO, ... Data! The answer to my problem is hidden in my data... but I cannot dig it up! ...
Job Shop Scheduling
... How did biological life evolve? And how do living organisms function? What is the nature of intelligent thought? ...
... How did biological life evolve? And how do living organisms function? What is the nature of intelligent thought? ...
GQR: A Fast Solver for Binary Qualitative Constraint Networks
... domain). The constraint satisfaction problem is to determine for a given constraint network, whether there exists an assignment to its variables such that all constraints of the network become satisfied. Since the domains considered in qualitative reasoning are usually infinite, constraint solving t ...
... domain). The constraint satisfaction problem is to determine for a given constraint network, whether there exists an assignment to its variables such that all constraints of the network become satisfied. Since the domains considered in qualitative reasoning are usually infinite, constraint solving t ...
Deductive Reasoning
... is the abstract theory of the logical consequence relation, the relation that specifies what follows from what. While logic does not provide a descriptive theory of reasoning, it is widely accepted that there is a normative connection between logic and reasoning. Yet, it has proved difficult to prec ...
... is the abstract theory of the logical consequence relation, the relation that specifies what follows from what. While logic does not provide a descriptive theory of reasoning, it is widely accepted that there is a normative connection between logic and reasoning. Yet, it has proved difficult to prec ...
Intelligent Agents - University of Washington
... indistinguishable from those of Chinese speakers." Just by looking at your answers, nobody can tell you "don't speak a word of Chinese." Producing answers "by manipulating uninterpreted formal symbols," it seems "[a]s far as the Chinese is concerned," you "simply behave like a computer"; specificall ...
... indistinguishable from those of Chinese speakers." Just by looking at your answers, nobody can tell you "don't speak a word of Chinese." Producing answers "by manipulating uninterpreted formal symbols," it seems "[a]s far as the Chinese is concerned," you "simply behave like a computer"; specificall ...
The Resilience of Computationalism - Philsci
... Neural processes are temporally constrained in real time, whereas computations are not; hence, neural processes are not computations (cf. Globus 1992, van Gelder 1998). This objection trades on an ambiguity between mathematical representation of time and real time. True, computations are temporally ...
... Neural processes are temporally constrained in real time, whereas computations are not; hence, neural processes are not computations (cf. Globus 1992, van Gelder 1998). This objection trades on an ambiguity between mathematical representation of time and real time. True, computations are temporally ...
A case-based expert system for scheduling problems
... similar to the current one and uses them to help in solving a new problem. Many management decision areas rely on previous experience and CBR has many potential applications in managerial decision making. Although CBR does have limitations it has many potential advantages. Experience may be re-used ...
... similar to the current one and uses them to help in solving a new problem. Many management decision areas rely on previous experience and CBR has many potential applications in managerial decision making. Although CBR does have limitations it has many potential advantages. Experience may be re-used ...
Hardware: Input, Processing, and Output Devices
... Build models of the real world Use models to make predictions Genetic Algorithms: Typically uses an existing model (Fitness Function) Searches for a good (or optimal) solution to the model. ...
... Build models of the real world Use models to make predictions Genetic Algorithms: Typically uses an existing model (Fitness Function) Searches for a good (or optimal) solution to the model. ...
Slide 1
... Describe how genetic algorithms are used. Explain natural-language processing and its advantages and disadvantages. ...
... Describe how genetic algorithms are used. Explain natural-language processing and its advantages and disadvantages. ...
THE APPLICATION OF EXPERT SYSTEM: A REVIEW OF
... technologies. Today, there a lot of intelligent machine is available in everywhere such as airport gate scanner, movie theater counter ticket, vending machine, ATM machine, washing machine, etc. Expert system has been used widely in many areas and industries. This paper is described the current rese ...
... technologies. Today, there a lot of intelligent machine is available in everywhere such as airport gate scanner, movie theater counter ticket, vending machine, ATM machine, washing machine, etc. Expert system has been used widely in many areas and industries. This paper is described the current rese ...
Understanding Computers, Chapter 1
... • Utilizes atoms or nuclei working together as qubits (quantum bits) – Qubits function as the computer’s processor and memory – Each qubit can represent more than the two states (1 and 0) at a time used with electronic bits Understanding Computers in a Changing Society, 5th Edition ...
... • Utilizes atoms or nuclei working together as qubits (quantum bits) – Qubits function as the computer’s processor and memory – Each qubit can represent more than the two states (1 and 0) at a time used with electronic bits Understanding Computers in a Changing Society, 5th Edition ...
What Is Approximate Reasoning?
... First of all, we have to come up with a general and generic formalization of the notion of a reasoning task. Intuitively, this is just a question (or query) posed to a system that manages a knowledge base, which is supposed to deliver an answer after some processing time. The (maybe gradual) validit ...
... First of all, we have to come up with a general and generic formalization of the notion of a reasoning task. Intuitively, this is just a question (or query) posed to a system that manages a knowledge base, which is supposed to deliver an answer after some processing time. The (maybe gradual) validit ...
Sborník vědeckých prací Vysoké školy báňské
... convenient for later knowledge processing is the first constructive step towards the building of an intelligent, knowledge-based system belonging to the knowledge acquisition phase of the building process. Here, a form has to be found for the abstract representation of facts and the relationship bet ...
... convenient for later knowledge processing is the first constructive step towards the building of an intelligent, knowledge-based system belonging to the knowledge acquisition phase of the building process. Here, a form has to be found for the abstract representation of facts and the relationship bet ...
Prioritized Norms and Defaults in Formal
... Deontic logic sentences define what an agent ought to do when faced with a set of norms. These norms may come into conflict such that a priority ordering over them is necessary to resolve these conflicts. Dung’s seminal paper raises the still open challenge to use formal argumentation to represent n ...
... Deontic logic sentences define what an agent ought to do when faced with a set of norms. These norms may come into conflict such that a priority ordering over them is necessary to resolve these conflicts. Dung’s seminal paper raises the still open challenge to use formal argumentation to represent n ...
My Resume (in pdf)
... 1. Yllias Chali, Sadid Hasan and Shafiq Joty., “Do Automatic Annotation Techniques Have Any Impact on Supervised Complex Question Answering?”, In Proceedings of the ACL-IJCNLP 2009 Conference. (ACL-2009), pages 329-332, Suntec, Singapore. (2009). 2. Yllias Chali, Sadid Hasan and Shafiq Joty., “A SVM ...
... 1. Yllias Chali, Sadid Hasan and Shafiq Joty., “Do Automatic Annotation Techniques Have Any Impact on Supervised Complex Question Answering?”, In Proceedings of the ACL-IJCNLP 2009 Conference. (ACL-2009), pages 329-332, Suntec, Singapore. (2009). 2. Yllias Chali, Sadid Hasan and Shafiq Joty., “A SVM ...
Chapter 11: Artificial Intelligence
... the search tree is constructed – Breadth-first: layer by layer – Depth-first: building the more promising paths rather than horizontal layers. (following intuition) Copyright © 2012 Pearson Education, Inc. Publishing as Pearson Addison-Wesley ...
... the search tree is constructed – Breadth-first: layer by layer – Depth-first: building the more promising paths rather than horizontal layers. (following intuition) Copyright © 2012 Pearson Education, Inc. Publishing as Pearson Addison-Wesley ...
SAT-based planning in complex domains: Concurrency, constraints
... and C-PLAN has been to see whether the good performances obtained by SAT-based planners in the classical case would extend to more complex problems involving, e.g., concurrency and/or constraints and/or nondeterminism. The experimental analysis shows that this is indeed the case, at least in the cas ...
... and C-PLAN has been to see whether the good performances obtained by SAT-based planners in the classical case would extend to more complex problems involving, e.g., concurrency and/or constraints and/or nondeterminism. The experimental analysis shows that this is indeed the case, at least in the cas ...
Dr. Eick`s Introduction to AI
... More Definitions of AI • Rich/Knight: ”AI is the study of of how to make computers do things which, at the moment, people do better” • Winston: “AI is the study of computations that make it possible to perceive, reason, and act. • Turing Test: If an artificial intelligent system is not distinguisha ...
... More Definitions of AI • Rich/Knight: ”AI is the study of of how to make computers do things which, at the moment, people do better” • Winston: “AI is the study of computations that make it possible to perceive, reason, and act. • Turing Test: If an artificial intelligent system is not distinguisha ...
PDF only
... portant that uncertain beliefs about hypotheses are managed with representations and techniques based on explicit assumptions, sound theory, and clear se mantics. Otherwise there is little reason to expect that the disparate belief computations can be com ...
... portant that uncertain beliefs about hypotheses are managed with representations and techniques based on explicit assumptions, sound theory, and clear se mantics. Otherwise there is little reason to expect that the disparate belief computations can be com ...
The Third International Conference on Case
... in Business Processes” and “Practical CBR Strategies for Building and Maintaining Corporate Memories.” The other two workshops focused on theoretical issues: “Formalization of Adaptation in CBR’’ and “Hybrid CBR Systems.’’ “Integration of CBR in Business Processes’’ addressed the organizational proc ...
... in Business Processes” and “Practical CBR Strategies for Building and Maintaining Corporate Memories.” The other two workshops focused on theoretical issues: “Formalization of Adaptation in CBR’’ and “Hybrid CBR Systems.’’ “Integration of CBR in Business Processes’’ addressed the organizational proc ...
here. - Computer Science and Engineering
... University, Palo Alto, California, March 23-25, 2015. Published by the Association for the Advancement of Artificial Intelligence, (AAAI Press), Menlo Park, California. Natalie Parde, Michalis Papakostas, Konstantinos Tsiakas, Maria Dagioglou, Vangelis Karkaletsis and Rodney D. Nielsen. (2015). I Sp ...
... University, Palo Alto, California, March 23-25, 2015. Published by the Association for the Advancement of Artificial Intelligence, (AAAI Press), Menlo Park, California. Natalie Parde, Michalis Papakostas, Konstantinos Tsiakas, Maria Dagioglou, Vangelis Karkaletsis and Rodney D. Nielsen. (2015). I Sp ...
Introduction: Aspects of Artificial General Intelligence
... learning mechanism may still remain general. The key point is that a general intelligence must be able to master a variety of domains, and learn to master new domains that it never confronted before. It does not need to have equal capability in all domains – humans will never be as intuitively exper ...
... learning mechanism may still remain general. The key point is that a general intelligence must be able to master a variety of domains, and learn to master new domains that it never confronted before. It does not need to have equal capability in all domains – humans will never be as intuitively exper ...
study of difference between forward and backward reasoning
... The inference engine is a computer program designed to produce reasoning on rules. In order to produce reasoning, it should be based on logic. With logic, the engine is able to generate new information from the knowledge contained in the rule base and data to be processed. The engine has two ways to ...
... The inference engine is a computer program designed to produce reasoning on rules. In order to produce reasoning, it should be based on logic. With logic, the engine is able to generate new information from the knowledge contained in the rule base and data to be processed. The engine has two ways to ...
Reasoning in Argumentation Frameworks Using Quantified
... of QBF solvers on the one hand, and design of applications, on the other hand. This situation is similar to the emerge of the success of satisfiability solvers in the mid nineties, where first impressive results have been achieved by employing SAT solvers in the area of planning [17,18]. Since QBFs ...
... of QBF solvers on the one hand, and design of applications, on the other hand. This situation is similar to the emerge of the success of satisfiability solvers in the mid nineties, where first impressive results have been achieved by employing SAT solvers in the area of planning [17,18]. Since QBFs ...
Artificial Intelligence
... concepts which will help the reader to get an insight into the type of topics that Artificial Intelligence deals with. We have used the name of the field i.e. Artificial Intelligence (commonly referred as AI) without any explanation of the name itself. Let us now look into a simple but comprehensive ...
... concepts which will help the reader to get an insight into the type of topics that Artificial Intelligence deals with. We have used the name of the field i.e. Artificial Intelligence (commonly referred as AI) without any explanation of the name itself. Let us now look into a simple but comprehensive ...
Philosophy of artificial intelligence
The philosophy of artificial intelligence attempts to answer such questions as: Can a machine act intelligently? Can it solve any problem that a person would solve by thinking? Are human intelligence and machine intelligence the same? Is the human brain essentially a computer? Can a machine have a mind, mental states and consciousness in the same sense humans do? Can it feel how things are?These three questions reflect the divergent interests of AI researchers, cognitive scientists and philosophers respectively. The scientific answers to these questions depend on the definition of ""intelligence"" and ""consciousness"" and exactly which ""machines"" are under discussion.Important propositions in the philosophy of AI include:Turing's ""polite convention"": If a machine behaves as intelligently as a human being, then it is as intelligent as a human being. The Dartmouth proposal: ""Every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it."" Newell and Simon's physical symbol system hypothesis: ""A physical symbol system has the necessary and sufficient means of general intelligent action."" Searle's strong AI hypothesis: ""The appropriately programmed computer with the right inputs and outputs would thereby have a mind in exactly the same sense human beings have minds."" Hobbes' mechanism: ""Reason is nothing but reckoning.""↑ ↑ ↑ ↑ ↑ ↑