Knowledge Representation and Reasoning
... A tough issue that any AI reasoning system must confront is that of Tractability. A problem domain is intractable if it is not possible for a (conventional) computer program to solve it in ‘reasonable’ time (and with ‘reasonable’ use of other resources such as memory). Certain classes of logical pro ...
... A tough issue that any AI reasoning system must confront is that of Tractability. A problem domain is intractable if it is not possible for a (conventional) computer program to solve it in ‘reasonable’ time (and with ‘reasonable’ use of other resources such as memory). Certain classes of logical pro ...
UNIVERSITY OF SOUTH CAROLINA Department of Computer
... 1965- Engineering versus Science: divides computer science, incl. ...
... 1965- Engineering versus Science: divides computer science, incl. ...
Advanced Intelligence: Definition, Approach, and Progresses
... The strategy is in an abstract guideline, which cannot solve the problem practically. Therefore it should be conversed into action through which the problem may be solved and the goal be reached; Step (6) Feedback and Optimization If there is difference between the results of the previous step and th ...
... The strategy is in an abstract guideline, which cannot solve the problem practically. Therefore it should be conversed into action through which the problem may be solved and the goal be reached; Step (6) Feedback and Optimization If there is difference between the results of the previous step and th ...
This Is a Publication of The American Association for Artificial Intelligence
... tem works if it can perform its tasks successfully over a wide range of specific situations and problems within the domain. Depending on the area, we have different degrees of sophistication in working systems. In well-circumscribed domains, such as game playing, we have high-performance working sys ...
... tem works if it can perform its tasks successfully over a wide range of specific situations and problems within the domain. Depending on the area, we have different degrees of sophistication in working systems. In well-circumscribed domains, such as game playing, we have high-performance working sys ...
Trustable Communication Between Mathematics Systems*
... types, i.e., if E1 and E2 are expressions in L1 of the same type and Φ(E1 ) and Φ(E2 ) are defined, then Φ(E1 ) and Φ(E2 ) are also of the same type. T1 and T2 are called the source theory and the target theory of Φ, respectively. Φ is total if Φ(E) is defined for each E ∈ L1 . Φ fixes a language L ...
... types, i.e., if E1 and E2 are expressions in L1 of the same type and Φ(E1 ) and Φ(E2 ) are defined, then Φ(E1 ) and Φ(E2 ) are also of the same type. T1 and T2 are called the source theory and the target theory of Φ, respectively. Φ is total if Φ(E) is defined for each E ∈ L1 . Φ fixes a language L ...
Chapter 9: Decison Support Systems
... • Online analytical processing is used to analyze complex relationships among large amounts of data stored in multidimensional databases. Data mining analyzes large stores of historical data contained in data warehouses. • Decision support systems are interactive computer-based information systems t ...
... • Online analytical processing is used to analyze complex relationships among large amounts of data stored in multidimensional databases. Data mining analyzes large stores of historical data contained in data warehouses. • Decision support systems are interactive computer-based information systems t ...
Chapter 9: Decison Support Systems
... • Online analytical processing is used to analyze complex relationships among large amounts of data stored in multidimensional databases. Data mining analyzes large stores of historical data contained in data warehouses. • Decision support systems are interactive computer-based information systems t ...
... • Online analytical processing is used to analyze complex relationships among large amounts of data stored in multidimensional databases. Data mining analyzes large stores of historical data contained in data warehouses. • Decision support systems are interactive computer-based information systems t ...
CV - Department of Artificial Intelligence
... • I developed the first system for synthesising complex ecological simulation models as logic programs, based on problem descriptions given by non-mathematical ecologists using a domain-specific language. My 1991 book was the first in this area. • I developed a “lightweight” approach to applied logi ...
... • I developed the first system for synthesising complex ecological simulation models as logic programs, based on problem descriptions given by non-mathematical ecologists using a domain-specific language. My 1991 book was the first in this area. • I developed a “lightweight” approach to applied logi ...
View PDF - Advances in Cognitive Systems
... elements can be expressed using multivariables whose names are prefixed by a ‘$’. For example, “?var1 <- (table (columns $?m1 ?var2 $?))” denotes that ?var1 may be any column in the table. This is accomplished using the named multivariable $?m1 and anonymous multivariable $?, each of which may match ...
... elements can be expressed using multivariables whose names are prefixed by a ‘$’. For example, “?var1 <- (table (columns $?m1 ?var2 $?))” denotes that ?var1 may be any column in the table. This is accomplished using the named multivariable $?m1 and anonymous multivariable $?, each of which may match ...
An expert system architecture for construction planning
... potential in ill-structured problem solving domains where explicit algorithms do not exist or where traditional computer programs provide only restricted problem solving capabilities. A distinguishing characteristic of knowledge-based expert systems is the functional separation between three categor ...
... potential in ill-structured problem solving domains where explicit algorithms do not exist or where traditional computer programs provide only restricted problem solving capabilities. A distinguishing characteristic of knowledge-based expert systems is the functional separation between three categor ...
The Fourth International Workshop on Nonmonotonic Reasoning
... nonmonotonic logics and probability-theoretic logics, conditional logics, and logic programming. Computational issues occupied the lion’s share of the workshop, both during the sessions and offline, in marked contrast to earlier workshops. In part, this situation can be attributed to the growing pre ...
... nonmonotonic logics and probability-theoretic logics, conditional logics, and logic programming. Computational issues occupied the lion’s share of the workshop, both during the sessions and offline, in marked contrast to earlier workshops. In part, this situation can be attributed to the growing pre ...
CSC384: Intro to Artificial Intelligence
... Building an intelligent system as capable as humans remains an elusive goal. However, systems have been built which exhibit various specialized degrees of intelligence. Formalisms and algorithmic ideas have been identified as being useful in the construction of these “intelligent” systems. T ...
... Building an intelligent system as capable as humans remains an elusive goal. However, systems have been built which exhibit various specialized degrees of intelligence. Formalisms and algorithmic ideas have been identified as being useful in the construction of these “intelligent” systems. T ...
A conceptual model for game based intelligent tutoring
... The domain model: How do intelligent tutors represent and manage domain knowledge? To understand the various domain model implementations within intelligent tutoring we must acknowledge the history of basic computer aided learning (CAL) systems from which ITS have evolved. Basic CAL systems often co ...
... The domain model: How do intelligent tutors represent and manage domain knowledge? To understand the various domain model implementations within intelligent tutoring we must acknowledge the history of basic computer aided learning (CAL) systems from which ITS have evolved. Basic CAL systems often co ...
An algorithm for inducing least generalization under relative
... As generally the relational languages are complex and consequently the search space is usually huge, some approaches reduce the relational language to propositional representations, while others try to impose constraints on the relational representation. The latter approaches are more promising, bec ...
... As generally the relational languages are complex and consequently the search space is usually huge, some approaches reduce the relational language to propositional representations, while others try to impose constraints on the relational representation. The latter approaches are more promising, bec ...
Chapter 6
... based on IF - THEN statements (Bifurcation); Rule Base: Collection of IF - THEN knowledge ...
... based on IF - THEN statements (Bifurcation); Rule Base: Collection of IF - THEN knowledge ...
decisions making in design process – examples of artificial
... has large amount of details, which are not available in the books, but represent s bond between theoretical and practical knowledge. Mixture of the knowledge and mechanism of deduction (heuristic deduction of humans) represents basic power of expert systems. Expert systems are not universal. Their a ...
... has large amount of details, which are not available in the books, but represent s bond between theoretical and practical knowledge. Mixture of the knowledge and mechanism of deduction (heuristic deduction of humans) represents basic power of expert systems. Expert systems are not universal. Their a ...
CSE 471/598 Introduction to AI
... Some rational actions do not involve inference An example – a reflex doe not need inference ...
... Some rational actions do not involve inference An example – a reflex doe not need inference ...
Vladimir N. Bryushinkin KANT`S LOGIC AND SYNTHESIS OF
... perception. It is this combination that should generate the object of perception: “The transcendental unity of apperception is that unity through which all the manifold given in intuition is united in a concept of the object” (B 139). The form, the transcendental unity of apperception (TUA) realises ...
... perception. It is this combination that should generate the object of perception: “The transcendental unity of apperception is that unity through which all the manifold given in intuition is united in a concept of the object” (B 139). The form, the transcendental unity of apperception (TUA) realises ...
7. Propositional Logic Rational Thinking, Logic, Resolution
... determine which resolution steps will be executed and when. In the worst case, a resolution proof can take exponential time. This, however, very probably holds for all other proof procedures. For CNF formulae in propositional logic, the Davis-Putnam Procedure (backtracking over all truth values) is ...
... determine which resolution steps will be executed and when. In the worst case, a resolution proof can take exponential time. This, however, very probably holds for all other proof procedures. For CNF formulae in propositional logic, the Davis-Putnam Procedure (backtracking over all truth values) is ...
Expert system for crop disease based on graph pattern matching: a
... facts created from the knowledge of experts in coffee pests and diseases, an inference engine and a module for explanation. Similar to the previous work mentioned, in [13] an expert system to assist in the diagnosis of coffee diseases is built, based on the analysis of plants carried out by the farm ...
... facts created from the knowledge of experts in coffee pests and diseases, an inference engine and a module for explanation. Similar to the previous work mentioned, in [13] an expert system to assist in the diagnosis of coffee diseases is built, based on the analysis of plants carried out by the farm ...
Artificial Intelligence (Part 2a) Propositional Logic
... (or "propositional calculus") A system of symbolic logic using symbols to stand for whole propositions and logical connectives. Propositional logic only considers whether a proposition is true or false. In contrast to predicate logic, it does not consider the internal structure of propositions. ...
... (or "propositional calculus") A system of symbolic logic using symbols to stand for whole propositions and logical connectives. Propositional logic only considers whether a proposition is true or false. In contrast to predicate logic, it does not consider the internal structure of propositions. ...
tax-based expert systems - University of Southern California
... symbolic information. Some existing AI languages and ES shells have some inherent problems in processing numeric information, while other computer languages are not as efficient at processing symbolic information. Knowledge bases of tax expert systems are likely to be subject to substantial periodic ...
... symbolic information. Some existing AI languages and ES shells have some inherent problems in processing numeric information, while other computer languages are not as efficient at processing symbolic information. Knowledge bases of tax expert systems are likely to be subject to substantial periodic ...
2006 Paula Matuszek
... especially intelligent computer programs. It is 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. (McCarthy, 2002) – The exciting new effort to make computers think ... machines with mi ...
... especially intelligent computer programs. It is 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. (McCarthy, 2002) – The exciting new effort to make computers think ... machines with mi ...
INTCare: A Knowledge Discovery based Intelligent Decision
... research in information systems in the past, a closer look seems to indicate that the interest in DMSS is declining (Claver et al., 2000) or is not increasing at the rate that is expected (Vahidov et al., 2004). This is due to the requirements for decision support tools posed by new dynamic and comp ...
... research in information systems in the past, a closer look seems to indicate that the interest in DMSS is declining (Claver et al., 2000) or is not increasing at the rate that is expected (Vahidov et al., 2004). This is due to the requirements for decision support tools posed by new dynamic and comp ...
Knowledge representation and propositional logic
... – A way of representing the agents’ (increasing) knowledge about the world. – A way of drawing conclusions from what we already know. We ...
... – A way of representing the agents’ (increasing) knowledge about the world. – A way of drawing conclusions from what we already know. We ...