Forward chaining
... • A chain that is searched or traversed from a problem to its solution is called a forward chain. Forward chaining is called bottom-up reasoning because it reasons from the low-level evidence, facts, to the top-level conclusions that are based on the facts. • A chain that is traversed from a hypothe ...
... • A chain that is searched or traversed from a problem to its solution is called a forward chain. Forward chaining is called bottom-up reasoning because it reasons from the low-level evidence, facts, to the top-level conclusions that are based on the facts. • A chain that is traversed from a hypothe ...
Lesson 12
... Propositional Logic and Predicate Logic each with Modus Ponens as their inference produce are sound but not complete. We shall see that we need further (sound) rules of inference to achieve completeness. In fact we shall see that we shall even restrict the language in order to achieve an effective i ...
... Propositional Logic and Predicate Logic each with Modus Ponens as their inference produce are sound but not complete. We shall see that we need further (sound) rules of inference to achieve completeness. In fact we shall see that we shall even restrict the language in order to achieve an effective i ...
Management Information Systems Chapter 12
... behaviors in large data sets, using techniques such as neural networks and data mining Artificial Intelligence (AI) technology: • Computer-based systems based on human behavior, with the ability to learn languages, accomplish physical tasks, use a perceptual apparatus, and emulate human expertise an ...
... behaviors in large data sets, using techniques such as neural networks and data mining Artificial Intelligence (AI) technology: • Computer-based systems based on human behavior, with the ability to learn languages, accomplish physical tasks, use a perceptual apparatus, and emulate human expertise an ...
Application of Qualitative Reasoning to Robotic Soccer
... format and that they usually consider more informations which improves robustness and clarity of decision making. A good view of the two approaches is to consider reactive systems as an implementation of reflexive actions whereas classical AI systems are implementing the more strategic planning appr ...
... format and that they usually consider more informations which improves robustness and clarity of decision making. A good view of the two approaches is to consider reactive systems as an implementation of reflexive actions whereas classical AI systems are implementing the more strategic planning appr ...
PPT - Michael J. Watts
... intelligence than it is a test for femininity… A man doesn’t become a woman because he can fool you into thinking that he’s a woman. By the same token, a machine doesn’t become…an intelligent machine, just because it can fool you into thinking that it’s thinking” o David B. Fogel, Blondie24: Playing ...
... intelligence than it is a test for femininity… A man doesn’t become a woman because he can fool you into thinking that he’s a woman. By the same token, a machine doesn’t become…an intelligent machine, just because it can fool you into thinking that it’s thinking” o David B. Fogel, Blondie24: Playing ...
Role of Expert Systems in Construction Roboticsl
... 3.3. Architecture of an Expert System The principal distinction between expert systems and algorithmic programs lies in the use of knowledge. A traditional algorithmic application is organized into data and program. An expert system separates the program into an explicit knowledge base describing t ...
... 3.3. Architecture of an Expert System The principal distinction between expert systems and algorithmic programs lies in the use of knowledge. A traditional algorithmic application is organized into data and program. An expert system separates the program into an explicit knowledge base describing t ...
Video Understanding for Activity Monitoring
... Model of expected moving objects Software engineering: Easy generation of dedicated systems Reusable & adaptable platform ...
... Model of expected moving objects Software engineering: Easy generation of dedicated systems Reusable & adaptable platform ...
Intelligent support systems
... Manipulating the model ( by changing variable ) is much easier than manipulating the real system. Modeling allows a manager to better deal with the uncertainly by introducing many “ what- ifs” and calculating the risks involved in specific actions. ...
... Manipulating the model ( by changing variable ) is much easier than manipulating the real system. Modeling allows a manager to better deal with the uncertainly by introducing many “ what- ifs” and calculating the risks involved in specific actions. ...
Capturing Knowledge: Expert Systems
... Most problems solved by expert systems are mundane situations. “If it’s raining, then take an umbrella.” But what happens if it’s cloudy and only “looks” like it will rain? Expert systems only do well in situations in which there are definitive outcomes. They aren’t good at making decisions based on ...
... Most problems solved by expert systems are mundane situations. “If it’s raining, then take an umbrella.” But what happens if it’s cloudy and only “looks” like it will rain? Expert systems only do well in situations in which there are definitive outcomes. They aren’t good at making decisions based on ...
A Survey of Artificial Intelligence in Software Engineering
... Figure 4. Research Areas in AI and SE and common between the two. Ambient intelligencehelp us making a sensitive, adaptive and reactive systems that are informed about the user’s needs, habits and emotions in order to support them in their daily work (Da Costa and Punie Y, 2003).There are several AI ...
... Figure 4. Research Areas in AI and SE and common between the two. Ambient intelligencehelp us making a sensitive, adaptive and reactive systems that are informed about the user’s needs, habits and emotions in order to support them in their daily work (Da Costa and Punie Y, 2003).There are several AI ...
Chapter 04 Decision Support and Artificial Intelligence
... Learn from previous experiences the way humans can Provide new information Provide consistency in decision making Reduce errors ...
... Learn from previous experiences the way humans can Provide new information Provide consistency in decision making Reduce errors ...
Jumping NLP Curves: A Review of Natural Language Processing
... description of natural language is production rule (Chomsky, 1956). A production rule system keeps a working memory of on-going memory assertions. This working memory is volatile and in turn keeps a set of production rules. A production rule comprises of an antecedent set of conditions and a consequ ...
... description of natural language is production rule (Chomsky, 1956). A production rule system keeps a working memory of on-going memory assertions. This working memory is volatile and in turn keeps a set of production rules. A production rule comprises of an antecedent set of conditions and a consequ ...
Knowledge Management
... design and implement knowledge management strategies, effectively exchange knowledge assets internally and externally, and promote system use. Chief executive officer’s (CEO) is responsible for championing the KM effort. Chief financial officer (CFO) must ensure that the financial resources are avai ...
... design and implement knowledge management strategies, effectively exchange knowledge assets internally and externally, and promote system use. Chief executive officer’s (CEO) is responsible for championing the KM effort. Chief financial officer (CFO) must ensure that the financial resources are avai ...
Extended Modal Logics for Social Software (extended abstract of
... With respect to the first question, solution concepts such as the core have been proposed, which try to capture the idea of rational participation in a coalition [13, p.258]. With respect to the second question, solution concepts such as the Shapley value have been proposed, which attempt to define ...
... With respect to the first question, solution concepts such as the core have been proposed, which try to capture the idea of rational participation in a coalition [13, p.258]. With respect to the second question, solution concepts such as the Shapley value have been proposed, which attempt to define ...
Edited MS Word Format - Artificial Intelligence Applications Institute
... knowledge with rapidly altering scope and with changing versions and refinements. We can’t monolithically agree on a single representation of all the knowledge that will be involved. The science and technology of ontologies and their management will be vital to sustain this knowledge. ...
... knowledge with rapidly altering scope and with changing versions and refinements. We can’t monolithically agree on a single representation of all the knowledge that will be involved. The science and technology of ontologies and their management will be vital to sustain this knowledge. ...
File
... but for which we don’t have good algorithms for solving”. –e. g., understanding spoken natural language, medical diagnosis, circuit design, learning, self-adaptation, reasoning, chess playing, proving math ...
... but for which we don’t have good algorithms for solving”. –e. g., understanding spoken natural language, medical diagnosis, circuit design, learning, self-adaptation, reasoning, chess playing, proving math ...
CSC 8520: Artificial Intelligence Course Details
... related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable. Q. Yes, but what is intelligence? A. Intelligence is the computational part of the ability to achieve goals in the world. Varying kinds ...
... related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable. Q. Yes, but what is intelligence? A. Intelligence is the computational part of the ability to achieve goals in the world. Varying kinds ...
2. Case-Based Reasoning
... understand how people remember information and are in turn reminded of information; and that subsequently it was recognised that people commonly solve problems by remembering how they solved similar problems in the past. The classic definition of CBR was coined by [5]: "A case-based reasoner solves ...
... understand how people remember information and are in turn reminded of information; and that subsequently it was recognised that people commonly solve problems by remembering how they solved similar problems in the past. The classic definition of CBR was coined by [5]: "A case-based reasoner solves ...
13th International Distributed Artificial Intelligence Workshop
... GDSS(group decision support systems), CE (concurrent engineering), organizational sciences, social psychology, business process management,anthropology and so on. There is also increasing recognition of the need for collaboration support technology in many settings, as evidenced for example by the l ...
... GDSS(group decision support systems), CE (concurrent engineering), organizational sciences, social psychology, business process management,anthropology and so on. There is also increasing recognition of the need for collaboration support technology in many settings, as evidenced for example by the l ...
INTRODUCTION TO INFORMATION SYSTEMS TECHNOLOGY
... Simulation is used to examine proposed solutions and their impact ...
... Simulation is used to examine proposed solutions and their impact ...
Notes 1: Introduction to Artificial Intelligence
... For any given class of environments and tasks, we seek the agent (or class of agents) with the best performance ...
... For any given class of environments and tasks, we seek the agent (or class of agents) with the best performance ...
What has AI in Common with Philosophy?
... Artificial intelligence and philosophy have more in common than a science usually has with the philosophy of that science. This is because human level artificial intelligence requires equipping a computer program with some philosophical attitudes, especially epistemological. The program must have bu ...
... Artificial intelligence and philosophy have more in common than a science usually has with the philosophy of that science. This is because human level artificial intelligence requires equipping a computer program with some philosophical attitudes, especially epistemological. The program must have bu ...
FROM HERE TO HUMAN-LEVEL AI John McCarthy
... cept of Mount Everest and the concept of the welfare of a chicken. The exact pieces of rock and ice that constitute Mount Everest are unclear. For many rocks, there is no truth of the matter as to whether it is part of Mount Everest. Nevertheless, it is true without qualification that Edmund Hillar ...
... cept of Mount Everest and the concept of the welfare of a chicken. The exact pieces of rock and ice that constitute Mount Everest are unclear. For many rocks, there is no truth of the matter as to whether it is part of Mount Everest. Nevertheless, it is true without qualification that Edmund Hillar ...
