Combinations of Case-Based Reasoning with Other Intelligent Methods (short paper)
... processing, co-processing and embedded processing [31]. In sequential processing, information (produced by reasoning) necessarily passes sequentially through some or all of the combined modules to produce the final result [33], [11]. In co-processing approaches, the combined modules closely interact ...
... processing, co-processing and embedded processing [31]. In sequential processing, information (produced by reasoning) necessarily passes sequentially through some or all of the combined modules to produce the final result [33], [11]. In co-processing approaches, the combined modules closely interact ...
Dialogue Tools and Negotiation Support Systems in a Three-Step
... knowledge management purposes.22 The use of applied legal decision support systems is still in its infancy. Of the commercially successful systems that have been developed, Zeleznikow and Dan Hunter note that most have employed rules. 23 There are two major reasons for this: rules are easy to model, ...
... knowledge management purposes.22 The use of applied legal decision support systems is still in its infancy. Of the commercially successful systems that have been developed, Zeleznikow and Dan Hunter note that most have employed rules. 23 There are two major reasons for this: rules are easy to model, ...
Adaptive changes in harvested populations: plasticity and evolution
... Figure 3. Evolution of maturation reaction norms under state-dependent harvesting. In this case, either juveniles or adults are harvested. (a)–(c) present the ES reaction norms under increasing levels of initial harvest mortality on adults for the three harvest mortality types ((a) negatively densit ...
... Figure 3. Evolution of maturation reaction norms under state-dependent harvesting. In this case, either juveniles or adults are harvested. (a)–(c) present the ES reaction norms under increasing levels of initial harvest mortality on adults for the three harvest mortality types ((a) negatively densit ...
Enactive Artificial Intelligence
... embodiment and situatedness in behavior-based AI and robotics in the late 1980s (e.g. Brooks 1991) has continued to be further developed (e.g. Brooks 1997; Arkin 1998; Pfeifer & Bongard 2007) and has considerably influenced the emergence of a variety of successful AI research programs such as, for e ...
... embodiment and situatedness in behavior-based AI and robotics in the late 1980s (e.g. Brooks 1991) has continued to be further developed (e.g. Brooks 1997; Arkin 1998; Pfeifer & Bongard 2007) and has considerably influenced the emergence of a variety of successful AI research programs such as, for e ...
Mind Design II : Philosophy, Psychology, Artificial Intelligence
... Intentionality is peculiar and perplexing. It looks on the face of it to be a relation between two things. My belief that Cairo is hot is intentional because it is about Cairo (and/or its being hot). That which an intentional act or state is about (Cairo or its being hot, say) is called its intentio ...
... Intentionality is peculiar and perplexing. It looks on the face of it to be a relation between two things. My belief that Cairo is hot is intentional because it is about Cairo (and/or its being hot). That which an intentional act or state is about (Cairo or its being hot, say) is called its intentio ...
Mind Design II : Philosophy, Psychology, Artificial Intelligence
... Intentionality is peculiar and perplexing. It looks on the face of it to be a relation between two things. My belief that Cairo is hot is intentional because it is about Cairo (and/or its being hot). That which an intentional act or state is about (Cairo or its being hot, say) is called its intentio ...
... Intentionality is peculiar and perplexing. It looks on the face of it to be a relation between two things. My belief that Cairo is hot is intentional because it is about Cairo (and/or its being hot). That which an intentional act or state is about (Cairo or its being hot, say) is called its intentio ...
A Review on Expert System and its Applications in Civil Engineering
... automatically adapt the changing the environments whereas as, expert systems are required to be unambiguously updated. Expert systems fail to recognize the problems outside the area of their expertise and when no answer exists. For this reason, any output or advice from an expert system must be conc ...
... automatically adapt the changing the environments whereas as, expert systems are required to be unambiguously updated. Expert systems fail to recognize the problems outside the area of their expertise and when no answer exists. For this reason, any output or advice from an expert system must be conc ...
Chapter 4 - High Point University
... • monitoring and surveillance agents – monitor network for likely problems ...
... • monitoring and surveillance agents – monitor network for likely problems ...
Open Language Learning for Information Extraction
... with the exact relation word (as a lexical constraint) and the POS (postag constraint). We create a relation template from the seed tuple by normalizing ‘is’/‘was’/‘will be’ to ‘be’, and replacing the relation content word with {rel}.4 If the dependency path has a node that is not part of the seed t ...
... with the exact relation word (as a lexical constraint) and the POS (postag constraint). We create a relation template from the seed tuple by normalizing ‘is’/‘was’/‘will be’ to ‘be’, and replacing the relation content word with {rel}.4 If the dependency path has a node that is not part of the seed t ...
From Natural Language to Soft Computing: New Paradigms
... The most important objective reached during the workshop is that it opened the way for an interdisciplinary collaboration between researchers in different countries (Romania, USA, France, Serbia, Chile, Greece and Hungary), with different professional experience (scientific researchers, doctors and ...
... The most important objective reached during the workshop is that it opened the way for an interdisciplinary collaboration between researchers in different countries (Romania, USA, France, Serbia, Chile, Greece and Hungary), with different professional experience (scientific researchers, doctors and ...
Is there a future for AI without representation?
... Out of these, the first and the last three have remained as characteristics. Brooks suggests that AI should take intelligent agents not just as a long-term goal but as its starting point, and it says that these robots should be built from the bottom-up, not from the top-down, hoping that higher leve ...
... Out of these, the first and the last three have remained as characteristics. Brooks suggests that AI should take intelligent agents not just as a long-term goal but as its starting point, and it says that these robots should be built from the bottom-up, not from the top-down, hoping that higher leve ...
Creating New Pathways to Justice Using Simple Artificial
... information explains complex court procedures, but she has not been sued yet. The woman knows she needs to do something, but has no idea how to take action. This article offers a conceptual overview for an artificial intelligence (AI)based system designed to support non-experts in the justice contex ...
... information explains complex court procedures, but she has not been sued yet. The woman knows she needs to do something, but has no idea how to take action. This article offers a conceptual overview for an artificial intelligence (AI)based system designed to support non-experts in the justice contex ...
Organisational Intelligence and Distributed AI
... integrates human, and machine-based knowledge processing and problem solving capabilities (Matsuda 1988a, 1991, 1992). In contrast to others he stresses that machine intelligence is an integral part of the intelligence of an organisation. As Matsuda points out, and in conformity with recent work on ...
... integrates human, and machine-based knowledge processing and problem solving capabilities (Matsuda 1988a, 1991, 1992). In contrast to others he stresses that machine intelligence is an integral part of the intelligence of an organisation. As Matsuda points out, and in conformity with recent work on ...
Document
... given: NL(X) (information about the value of X described in natural language) *X given: NL(Y) (information about the values of Y described in natural language) *Y given: NL(X, Y) (information about the values of X and Y described in natural language) *(X, Y) given: NL (f) (information about f descri ...
... given: NL(X) (information about the value of X described in natural language) *X given: NL(Y) (information about the values of Y described in natural language) *Y given: NL(X, Y) (information about the values of X and Y described in natural language) *(X, Y) given: NL (f) (information about f descri ...
The Resilience of Computationalism - Philsci
... carry out computationalist research programs offer computational explanations of cognitive tasks. Such explanations are usually formulated in terms of computations over representations, presupposing some account of how the representations get their representational content. In some cases, such expla ...
... carry out computationalist research programs offer computational explanations of cognitive tasks. Such explanations are usually formulated in terms of computations over representations, presupposing some account of how the representations get their representational content. In some cases, such expla ...
Fuzzy Information Approaches to Equipment Condition Monitoring and Diagnosis
... Techniques are developed which show the most effective method for extracting information from an observation and suggest actions to take which will lead to the most coherent conclusion. Fuzzy mathematics applications within power systems have been proposed in several areas, see [5]. In particular, t ...
... Techniques are developed which show the most effective method for extracting information from an observation and suggest actions to take which will lead to the most coherent conclusion. Fuzzy mathematics applications within power systems have been proposed in several areas, see [5]. In particular, t ...
PPT
... What is AI? Discipline that systematizes and automates intellectual tasks to create machines that: ...
... What is AI? Discipline that systematizes and automates intellectual tasks to create machines that: ...
A Survey of the Eighth National Conference on Artificial Intelligence
... extending ordinary constraint-satisfaction problem solving to include dynamic constraints on variables). Some papers generalize models, and others differentiate them, demonstrating on the one hand that two or more models have a common core and on the other that a model fails to distinguish behaviors ...
... extending ordinary constraint-satisfaction problem solving to include dynamic constraints on variables). Some papers generalize models, and others differentiate them, demonstrating on the one hand that two or more models have a common core and on the other that a model fails to distinguish behaviors ...
Glencoe Biology
... Bones constantly are being remodeled, which involves replacing old cells with new cells. Cells called osteoclasts break down bone cells, which are replaced by new bone tissue. ...
... Bones constantly are being remodeled, which involves replacing old cells with new cells. Cells called osteoclasts break down bone cells, which are replaced by new bone tissue. ...
Lecture 11 - Chapter 7
... • Knowledge is the awareness and understanding of: – A set of information – Ways that information can be made useful to support a specific task or reach a decision © 2016 Cengage Learning®. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in ...
... • Knowledge is the awareness and understanding of: – A set of information – Ways that information can be made useful to support a specific task or reach a decision © 2016 Cengage Learning®. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in ...
Maximum likelihood bounded tree-width Markov networks
... the maximum likelihood model search problem in purely combinatorial terms, we obtain both hardness results and provable guarantees of approximation accuracy. In 1968, Chow and Liu [6] provided a rigorous analysis for finding maximum likelihood Markov trees (distributions in which the dependencies fo ...
... the maximum likelihood model search problem in purely combinatorial terms, we obtain both hardness results and provable guarantees of approximation accuracy. In 1968, Chow and Liu [6] provided a rigorous analysis for finding maximum likelihood Markov trees (distributions in which the dependencies fo ...
Statistical Causal Inference
... The semantics of a causal graph involve ideal manipulations and the changes in the probability distribution that follow such manipulations. Such an account is circular, because to manipulate is to cause. Our purpose, however, is not to provide a reductive definition of causation, but rather to conne ...
... The semantics of a causal graph involve ideal manipulations and the changes in the probability distribution that follow such manipulations. Such an account is circular, because to manipulate is to cause. Our purpose, however, is not to provide a reductive definition of causation, but rather to conne ...
Knowledge-based Systems and Interestingness Measures: Analysis
... a knowledge-based system can be enhanced. Designing accurate and precise clinical decision support systems, which use the mined knowledge, is still a broad area of research. This work analyses the variation in classification accuracy for such knowledge-based systems using different rule lists. The p ...
... a knowledge-based system can be enhanced. Designing accurate and precise clinical decision support systems, which use the mined knowledge, is still a broad area of research. This work analyses the variation in classification accuracy for such knowledge-based systems using different rule lists. The p ...
Issues in Temporal and Causal Inference
... The formal definitions of the symbols used above are given in [32], and here they only need to be intuitively understood. Also, for the current discussion, it is enough to see the memory of NARS as a collection of interrelated concepts. In this way, NARS uniformly represents all empirical knowledge ...
... The formal definitions of the symbols used above are given in [32], and here they only need to be intuitively understood. Also, for the current discussion, it is enough to see the memory of NARS as a collection of interrelated concepts. In this way, NARS uniformly represents all empirical knowledge ...
Incomplete Nature
Incomplete Nature: How Mind Emerged from Matter is a 2011 book by biological anthropologist Terrence Deacon. The book covers topics in biosemiotics, philosophy of mind, and the origins of life. Broadly, the book seeks to naturalistically explain ""aboutness"", that is, concepts like intentionality, meaning, normativity, purpose, and function; which Deacon groups together and labels as ententional phenomena.