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Artificial Intelligence - International Journal of Computer Applications
Artificial Intelligence - International Journal of Computer Applications

... Here, a police robot handles a live bomb. In AI, a significant effort has gone into the development of languages that can be used to represent knowledge appropriately. Languages such as LISP, which is based on the lambda calculus, and Prolog, which is based on formal logic, are widely used for knowl ...
EXPERT SYSTEMS - THE NEW BUSINESS SIMULATION TOOL
EXPERT SYSTEMS - THE NEW BUSINESS SIMULATION TOOL

... Expert systems are receiving a tremendous amount of attention in the data processing and business communities. But few business educators have been exposed to the base concepts of expert systems or can appreciate the effect they will have on business. This presentation covers the fundamental princip ...
Consistent Belief Reasoning in the Presence of Inconsistency
Consistent Belief Reasoning in the Presence of Inconsistency

... KL89, Lin87], to name a few), inconsistencies are tolerated and the drawback that everything is a consequence of an inconsistency is avoided. In [Dun76, Be175, Pri91, Lin87], a proposition can be assigned three or four truth values, while in [Gin88, KL89], a proposition can be assigned more than fou ...
Weak and strong AI, concept of problem solving by searching
Weak and strong AI, concept of problem solving by searching

... Computer Aided Design ...
Expert Systems 2
Expert Systems 2

... knowledge are separate. We can change one while affecting the other minimally. • ”There is a clear separation of general knowledge about the problem (the rules forming the knowledge base) from information about the current problem (the input data) and methods for applying the general knowledge to a ...
Management Information Systems
Management Information Systems

...  Cost justification, intangible benefits. While some of the benefits of management support systems are tangible, it is difficult to put a dollar value on the intangible benefits of many such systems.  Documenting personal DSS. Many employees develop their own DSSs to increase their productivity an ...
AAAI Proceedings Template
AAAI Proceedings Template

... reusable logical representations. Our research and application efforts are now driving us to examine how we can achieve high performance, including speed of inference, on the reusable and expressive representations we create. Some of our current projects build on the XSB [Sagonas, et al, 2000] deduc ...
slides
slides

... Natural and Artificial Systems formalizes and popularizes evolutionary algorithms ...
Book review of: R. Turner, Logics for AI
Book review of: R. Turner, Logics for AI

... philosophical work in logic and epistemology to problems in AI (artificial intelligence). AI research is nothing if not eclectic in inspiration, and much use has been made in AI work of academic philosophy. The book under review is a case in point, for it surveys non-standard logic with an eye to it ...
PDF
PDF

... about who has access to which secret. Protocols use cryptographic mechanisms to achieve this, and the veri cation problem determines whether, under the perfect encryption assumption, the speci cations are met. Even in this limited speci cation language, we can easily specify many desirable propertie ...
Week Three - Temple Fox MIS
Week Three - Temple Fox MIS

... employees (can be used at any level)  Interactive decision aid  What-if analyses ...
Faculty of Arts Atkinson College
Faculty of Arts Atkinson College

... In this chapter, we will study:  What is meant by artificial intelligence  How expert systems are developed and how they perform  How AI has been applied to other arenas, such as natural language processing and neural computing  The concept and usefulness of intelligent agents  Ethical and leg ...
A differentiable approach to inductive logic programming
A differentiable approach to inductive logic programming

... Inductive logic programming (ILP) [1] refers to a broad class of problems that aim to find logic rules that model the observed data. The observed data usually contains background knowledge and examples, typically in the form of database relations or knowledge graphs. Inductive logic programming is o ...
CMSC 723: Introduction to Computational Linguistics
CMSC 723: Introduction to Computational Linguistics

...  This course is interdisciplinary—cuts across different areas of expertise. Expect that a subset of the class will be learning new material at any time, while others will have to be patient! (The subsets will swap frequently!)  Project 1 and Project 2 are designed differently. Be prepared for this ...
A Computational Theory of Inference for Arithmetic Explanation Albert Goldfain
A Computational Theory of Inference for Arithmetic Explanation Albert Goldfain

... My computational theory is implemented in the SNePS knowledgerepresentation, reasoning, and acting system [11]. The fundamental datastructure of SNePS is a propositional semantic network. A SNePS network represents the beliefs of Cassie, the SNePS cognitive agent. A semantic network is abstract enou ...
Hybrid Reasoning Model for Strengthening the problem solving
Hybrid Reasoning Model for Strengthening the problem solving

... discuss how they can be combined to form a more robust and better-performing hybrid. In a decision support system to address the variety of tasks a user performs, a single type of knowledge and reasoning method is often not sufficient. It is often necessary to determine which reasoning method would ...
A Model for Design of Societies of Cooperative Agents
A Model for Design of Societies of Cooperative Agents

... and the attainment of a coherent interaction for decision making. In a way that software for cooperative work will be a set of tools that supports the cooperation among a group of agents able to solve different kinds of problems. ...
View PDF - Advances in Cognitive Systems
View PDF - Advances in Cognitive Systems

... problem structure can enhance the generalization power of a classification learner, the power provided by fixing the semantics of intermediate concepts in a classification hierarchy is less well understood. Intuitively, it seems as if enforcing fixed semantics for these concepts will reduce the expr ...
P - Research Group of Vision and Image Processing
P - Research Group of Vision and Image Processing

... problems that cannot be solved using effective computational algorithms (this does not mean that they cannot be solved using computations!). ...
A Knowledge-Biased Approach to Information Agents
A Knowledge-Biased Approach to Information Agents

... spirit of expert systems, where domain and task specific knowledge is crafted into general purpose shells. If information agents are to become commonplace, there is a need for systematic approaches for identifying, describing, representing and implementing knowledge so that it can be effectively rep ...
Graduiertenkolleg Adaptivity in Hybrid Cognitive Systems Artificial
Graduiertenkolleg Adaptivity in Hybrid Cognitive Systems Artificial

... The starting point of this dissertation project is the transfer of logical terms and formulas into a version of a variable-free logic, where elements can be considered as arrows in a Topos. By interpreting arrows as atomic entities, it is possible to represent relations between these arrows by equat ...
Lecture 1 Introduction to knowledge
Lecture 1 Introduction to knowledge

... Expert systems are restricted to a very narrow domain of expertise. For example, MYCIN, which was developed for the diagnosis of infectious blood diseases, lacks any real knowledge of human physiology. If a patient has more than one disease, we cannot rely on MYCIN. In fact, therapy prescribed for t ...
LEC1 - Introduction to Computer System
LEC1 - Introduction to Computer System

... • C was closely tied with the Unix operating system – As Unix became popular in universities in the late 1970s and early 1980s, many people were exposed to C and found that they liked it. – Since Unix was written almost entirely in C, it could be easily ported to new machines, which created an even ...
pptx - Department of Computer Science
pptx - Department of Computer Science

... beats humans in chess or a machine that thinks like humans while beating humans in chess? ...
4-up pdf - Computer Sciences User Pages
4-up pdf - Computer Sciences User Pages

... change but the agent does •  Time is an important factor in dynamic environments since perceptions can become ...
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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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