relevant reasoning as the logical basis of
... With the above definition of material implication and the inference rule of Modus Ponens for material implication (from A and A→B to infer B), any valid reasoning based on CML must be truth-preserving, i.e., the conclusion of a valid reasoning must be true if all premises are true. However, as a res ...
... With the above definition of material implication and the inference rule of Modus Ponens for material implication (from A and A→B to infer B), any valid reasoning based on CML must be truth-preserving, i.e., the conclusion of a valid reasoning must be true if all premises are true. However, as a res ...
11_Artificial_Intelligence-InductiveLogicProgramming
... • Question: how the space of possible solutions can be structured in order to allow for pruning of the search? – The search space is typically structured by means of the dual notions of generalisation and specialisation • Generalisation corresponds to induction • Specialisation to deduction • Induct ...
... • Question: how the space of possible solutions can be structured in order to allow for pruning of the search? – The search space is typically structured by means of the dual notions of generalisation and specialisation • Generalisation corresponds to induction • Specialisation to deduction • Induct ...
The Role of analogy in cognitive science
... reasoning, creativity and learning. Thus, analogies can be considered as a basis for unified large-scale cognitive systems. Below we have a brief description of analogy and the different types of analogies. ...
... reasoning, creativity and learning. Thus, analogies can be considered as a basis for unified large-scale cognitive systems. Below we have a brief description of analogy and the different types of analogies. ...
ppt - STI Innsbruck
... • Question: how the space of possible solutions can be structured in order to allow for pruning of the search? – The search space is typically structured by means of the dual notions of generalisation and specialisation • Generalisation corresponds to induction • Specialisation to deduction • Induct ...
... • Question: how the space of possible solutions can be structured in order to allow for pruning of the search? – The search space is typically structured by means of the dual notions of generalisation and specialisation • Generalisation corresponds to induction • Specialisation to deduction • Induct ...
Argumentation for Resolving Privacy Disputes in Online Social
... to deal with this problem is to enable collaborative policies to be written per content [5]. However, composing privacy policies from scratch is extremely time consuming. Further, it is difficult to overcome conflicts among users. Another way of dealing with this problem is to use agent-based approa ...
... to deal with this problem is to enable collaborative policies to be written per content [5]. However, composing privacy policies from scratch is extremely time consuming. Further, it is difficult to overcome conflicts among users. Another way of dealing with this problem is to use agent-based approa ...
Identifying Condition-Action Sentences Using a Heuristic
... execute an activity. CPGs are published as textual guidelines, but in order to deploy them in some kind of computerized tool (e.g., a reminder system or a more complex decisionsupport system) they have to be represented in specialized languages (see [15, 7] for a comparison and overview). Although d ...
... execute an activity. CPGs are published as textual guidelines, but in order to deploy them in some kind of computerized tool (e.g., a reminder system or a more complex decisionsupport system) they have to be represented in specialized languages (see [15, 7] for a comparison and overview). Although d ...
DCP 1172: Introduction to Artificial Intelligence
... could be done using your own PC. • However, if in need, we could installed another Unix workstation (e.g., using FreeBSD) and you could do your programming jobs there. • The programming for this class will be done using LISP and/or Prolog. • Free versions are available for UNIX, Windows. • GNU Prolo ...
... could be done using your own PC. • However, if in need, we could installed another Unix workstation (e.g., using FreeBSD) and you could do your programming jobs there. • The programming for this class will be done using LISP and/or Prolog. • Free versions are available for UNIX, Windows. • GNU Prolo ...
New taxonomy of classification methods based on Formal Concepts
... step and processes data which have only two classes. It uses then straightforward sublattice to build a neural networks which makes the classification [23]. MCSD-FCA-PS12 has the distinction of processing sequential data. Complex sequential data are mapped onto pattern structures whose projections a ...
... step and processes data which have only two classes. It uses then straightforward sublattice to build a neural networks which makes the classification [23]. MCSD-FCA-PS12 has the distinction of processing sequential data. Complex sequential data are mapped onto pattern structures whose projections a ...
Logic programming and Prolog Relation vs mapping The logic
... • If an Ai fails we must investigate if there is another clause that matches A. • When no clause matches A we have failed. • This gives rise to a search tree. • In logic programming in general the search algorithm is undefined. • In an implementation of a logic programming language (e.g Prolog) the ...
... • If an Ai fails we must investigate if there is another clause that matches A. • When no clause matches A we have failed. • This gives rise to a search tree. • In logic programming in general the search algorithm is undefined. • In an implementation of a logic programming language (e.g Prolog) the ...
ppt
... Artificial Intelligence (AI) is exactly what the name states. It is the giving of intelligence or reasoning to machines it is synthetic knowledge. Well this is the current definition of AI. There were those before our time that brought legends to life, this was their most advanced technology, their ...
... Artificial Intelligence (AI) is exactly what the name states. It is the giving of intelligence or reasoning to machines it is synthetic knowledge. Well this is the current definition of AI. There were those before our time that brought legends to life, this was their most advanced technology, their ...
Fellows 1 2 - Association for the Advancement of Artificial Intelligence
... For contributions to temporal reasoning, backtracking search algorithms, and constraint programming. Toby Walsh, NICTA and University of New South Wales For significant and sustained contributions to automated deduction and constraint programming, and for extraordinary service to the AI community. B ...
... For contributions to temporal reasoning, backtracking search algorithms, and constraint programming. Toby Walsh, NICTA and University of New South Wales For significant and sustained contributions to automated deduction and constraint programming, and for extraordinary service to the AI community. B ...
Logic in Cognitive Science: Bridging the Gap between Symbolic and
... It should be obvious that a connective ⇒ which satisfies Loop need not be as strong as the material conditional of classical logic. The material conditional satisfies transitivity (A → B and B → C imply A → C), and Loop is an immediate consequence of transitivity (while the converse is not true). Ho ...
... It should be obvious that a connective ⇒ which satisfies Loop need not be as strong as the material conditional of classical logic. The material conditional satisfies transitivity (A → B and B → C imply A → C), and Loop is an immediate consequence of transitivity (while the converse is not true). Ho ...
Cognitive Informatics: Towards Future Generation Computers that
... Cognitive Informatics (CI) that leads to the design and implementation of future generation computers known as the cognitive computers that are capable of thinking and feeling. The theory and philosophy behind the next generation computers and computing technologies are CI. The theoretical framework ...
... Cognitive Informatics (CI) that leads to the design and implementation of future generation computers known as the cognitive computers that are capable of thinking and feeling. The theory and philosophy behind the next generation computers and computing technologies are CI. The theoretical framework ...
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... The New York Times (December 26, 2004; reg. req'd.). "Suddenly, the computer world is interesting again. ... The most attractive offerings are free, and they are concentrated in the newly sexy field of 'search.' ... [T]oday's subject is the virtually unpublicized search strategy of another industry ...
... The New York Times (December 26, 2004; reg. req'd.). "Suddenly, the computer world is interesting again. ... The most attractive offerings are free, and they are concentrated in the newly sexy field of 'search.' ... [T]oday's subject is the virtually unpublicized search strategy of another industry ...
Big Data Analysis and Its Applications for Knowledge
... Knowledge types in small and middle businesses in case of Food Company were related to the corporate conditions or goals of the problem among all departments to develop a decision system platform and then formed the knowledge tree to find relations by human-computer interaction method and optimize t ...
... Knowledge types in small and middle businesses in case of Food Company were related to the corporate conditions or goals of the problem among all departments to develop a decision system platform and then formed the knowledge tree to find relations by human-computer interaction method and optimize t ...
Fuzzy-probabilistic logic for common sense
... Vagueness is pervasive in common-sense reasoning. A calculus of degrees allows commonsense statements to be rendered into formal logic and be reasoned about computationally, thus fulfilling a need in logic-based AGI (artificial general intelligence) systems [5]. It is widely believed that a general- ...
... Vagueness is pervasive in common-sense reasoning. A calculus of degrees allows commonsense statements to be rendered into formal logic and be reasoned about computationally, thus fulfilling a need in logic-based AGI (artificial general intelligence) systems [5]. It is widely believed that a general- ...
Machine Learning CSCI 5622 - University of Colorado Boulder
... Some state of the art AI • Deep Blue defeated the reigning world chess champion Garry Kasparov in 1997 • Proved a mathematical conjecture (Robbins conjecture) unsolved for decades • No hands across America (driving autonomously 98% of the time from Pittsburgh to San Diego) • During the 1991 Gulf Wa ...
... Some state of the art AI • Deep Blue defeated the reigning world chess champion Garry Kasparov in 1997 • Proved a mathematical conjecture (Robbins conjecture) unsolved for decades • No hands across America (driving autonomously 98% of the time from Pittsburgh to San Diego) • During the 1991 Gulf Wa ...
Organizing Data and Information
... can only learn what it is been programmed to learn. Deep Blue is an example of such an expert system. Many expert systems cannot refine or maintain their own knowledge bases – for instance, they cannot eliminate redundant or contradictory rules. Since they are not generally self-adapting, maintainin ...
... can only learn what it is been programmed to learn. Deep Blue is an example of such an expert system. Many expert systems cannot refine or maintain their own knowledge bases – for instance, they cannot eliminate redundant or contradictory rules. Since they are not generally self-adapting, maintainin ...
Powerpoint slides - Computer Science
... Miyashita, K. & Sycara, K.: CABINS: A Framework of Knowledge Acquisition and Iterative Revision for Schedule Improvement and Reactive Repair, Artificial Intelligence Journal, vol.76(1-2), pp.377-426, 1995 Ram, A. & Santamaría, J.C.: Continuous Case-Based Reasoning. Artificial Intelligence, vol.90(1- ...
... Miyashita, K. & Sycara, K.: CABINS: A Framework of Knowledge Acquisition and Iterative Revision for Schedule Improvement and Reactive Repair, Artificial Intelligence Journal, vol.76(1-2), pp.377-426, 1995 Ram, A. & Santamaría, J.C.: Continuous Case-Based Reasoning. Artificial Intelligence, vol.90(1- ...
Structured development of problem solving methods
... solving methods let's recall a well-known case study carried out by [20], who analyzed the problem solving behavior of a set of first generation expert systems. Though these systems were realized using different representation formalisms (e.g., production rules, frames, LISP) and were concerned with ...
... solving methods let's recall a well-known case study carried out by [20], who analyzed the problem solving behavior of a set of first generation expert systems. Though these systems were realized using different representation formalisms (e.g., production rules, frames, LISP) and were concerned with ...
2010 AAAI Spring Symposium Series Call for Participation M
... such a way that its temporal resolution is reduced and potential nonstationarity is ignored for the sake of computational efficiency (as in Markov state-based models of behavior), or causal mappings between observations and behavior are simplified to mitigate the sparseness of available datasets. Gi ...
... such a way that its temporal resolution is reduced and potential nonstationarity is ignored for the sake of computational efficiency (as in Markov state-based models of behavior), or causal mappings between observations and behavior are simplified to mitigate the sparseness of available datasets. Gi ...
Towards Modeling False Memory with Computational Knowledge
... not captured here, and more exploration into robust algorithms for consistently initialization activation across knowledge bases may be necessary. The second caveat to our agent is the design of the recall phase. In the human experiments, the participants were given 2 to 2.5 minutes to recall as man ...
... not captured here, and more exploration into robust algorithms for consistently initialization activation across knowledge bases may be necessary. The second caveat to our agent is the design of the recall phase. In the human experiments, the participants were given 2 to 2.5 minutes to recall as man ...
485 Probabilistic Assumption
... burglary. Since -,a2 is true with probability 1-0.01, we say that the credibility of burglary is 0.99 or also that the hypothesis of a burglary is supported to the degree 0.99 by the available information. The following is a formalization of this kind of model and of its analy sis. Let P = {Pl.P2, ...
... burglary. Since -,a2 is true with probability 1-0.01, we say that the credibility of burglary is 0.99 or also that the hypothesis of a burglary is supported to the degree 0.99 by the available information. The following is a formalization of this kind of model and of its analy sis. Let P = {Pl.P2, ...
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... Unit-I INTRODUCTION TO STORAGE TECHNOLOGY: Data proliferation and the varying value of data with time & usage, Sources of data and states of data creation, Data center requirements and evolution to accommodate storage needs, Overview of basic storage management skills and activities, The five pillar ...
... Unit-I INTRODUCTION TO STORAGE TECHNOLOGY: Data proliferation and the varying value of data with time & usage, Sources of data and states of data creation, Data center requirements and evolution to accommodate storage needs, Overview of basic storage management skills and activities, The five pillar ...
hierarchical knowledge-based process planning in
... produce the part as required by its design description. Computer-Aided Process Planning (CAPP) may result in better designs, lower production costs, larger flexibility, improved quality and higher productivity. Over the last three decades vast efforts have been made in developing novel methods and ...
... produce the part as required by its design description. Computer-Aided Process Planning (CAPP) may result in better designs, lower production costs, larger flexibility, improved quality and higher productivity. Over the last three decades vast efforts have been made in developing novel methods and ...