Artificial Intelligence
... Another is to store only the changes to CDi then undo destructive changes to data structures on backtracking usually faster but can be more fiddly to implement ...
... Another is to store only the changes to CDi then undo destructive changes to data structures on backtracking usually faster but can be more fiddly to implement ...
feasible uncertain reasoning for multi agent ontology mapping
... representation of uncertainty. The advantages of this framework are that it allows for the allocation of subjective probability masses to sets of variables and it allows proper representation of ignorance. Additionally, probability masses do not need to be assessed a priory for all variables as for ...
... representation of uncertainty. The advantages of this framework are that it allows for the allocation of subjective probability masses to sets of variables and it allows proper representation of ignorance. Additionally, probability masses do not need to be assessed a priory for all variables as for ...
Aalborg Universitet Parameter learning in MTE networks using incomplete data
... known to exist. This implies that instead of trying to directly learn ML estimates for the MTE distributions, we may consider the ML estimators for the corresponding parametric families. Hence, we define a generalized EM algorithm that incorporates the following two observations (corresponding to t ...
... known to exist. This implies that instead of trying to directly learn ML estimates for the MTE distributions, we may consider the ML estimators for the corresponding parametric families. Hence, we define a generalized EM algorithm that incorporates the following two observations (corresponding to t ...
COMPUTATIONAL METHODS FOR A MATHEMATICAL THEORY
... How should knowledge-based expert systems reason? Clearly, when domainspecific idiosyncratic knowledge is available, it should be formalized and used to guide the inference process. Problems occur either when the supply of easy-to-formalize knowledge is exhausted before our systems pass the “suffici ...
... How should knowledge-based expert systems reason? Clearly, when domainspecific idiosyncratic knowledge is available, it should be formalized and used to guide the inference process. Problems occur either when the supply of easy-to-formalize knowledge is exhausted before our systems pass the “suffici ...
Central Limit Theorems for Conditional Markov Chains
... t=1 g(Xt , Yt ) conditional on the sequence of observations X, which is stated and proved in Section 3.2. It builds on a result for non-stationary Markov chains due to Dobrushin (1956), which we review in Section 3.1. In Section 3.3 we discuss generalizations of our result, e.g., to vector-valued fu ...
... t=1 g(Xt , Yt ) conditional on the sequence of observations X, which is stated and proved in Section 3.2. It builds on a result for non-stationary Markov chains due to Dobrushin (1956), which we review in Section 3.1. In Section 3.3 we discuss generalizations of our result, e.g., to vector-valued fu ...
Selecting Integrated Approach for Knowledge Representation by
... Sometimes, no single knowledge representation method is by itself ideally suited for all tasks. When several sources of knowledge are used simultaneously, the goal of uniformity may have to be sacrificed in favor of exploiting the benefits of multiple knowledge representations, each tailored to a di ...
... Sometimes, no single knowledge representation method is by itself ideally suited for all tasks. When several sources of knowledge are used simultaneously, the goal of uniformity may have to be sacrificed in favor of exploiting the benefits of multiple knowledge representations, each tailored to a di ...
draft pdf
... lower bounds for solution counts, suggesting that BP does provide useful information even 1 A tangential approach for handling such fatal mistakes is incorporating BP as a heuristic within backtrack search, which our results suggest has clear potential. ...
... lower bounds for solution counts, suggesting that BP does provide useful information even 1 A tangential approach for handling such fatal mistakes is incorporating BP as a heuristic within backtrack search, which our results suggest has clear potential. ...
Materi Pendukung : T0264P06_2 Representation In the 1960s and
... include printing sentences, moving sentences on lists, and reinitiating the basic deduction process on these lists." The St. Thomas Common Sense Symposium: Designing Architectures for Human-Level Intelligence. By Marvin Minsky, Push Singh, and Aaron Sloman. AI Magazine 25(2): Summer 2004, 113-124. A ...
... include printing sentences, moving sentences on lists, and reinitiating the basic deduction process on these lists." The St. Thomas Common Sense Symposium: Designing Architectures for Human-Level Intelligence. By Marvin Minsky, Push Singh, and Aaron Sloman. AI Magazine 25(2): Summer 2004, 113-124. A ...
A Differential Approach to Inference in Bayesian Networks Adnan
... corresponding to evidence indicators. In fact, these polynomials correspond to our canonical polynomi als when evidence indicators are fixed to a particular value. Hence, they do not represent network com pilations as they cannot be used to answer queries with respect to varying evidence. Note als ...
... corresponding to evidence indicators. In fact, these polynomials correspond to our canonical polynomi als when evidence indicators are fixed to a particular value. Hence, they do not represent network com pilations as they cannot be used to answer queries with respect to varying evidence. Note als ...
Quantitatively Evaluating Formula-Variable Relevance by
... after forgetting p, i.e. ψ ≡ ForgetVar(ψ, p). This extreme case is equivalent to the “binary” definition of independence which is proposed in the existing literature [2]. If the model set of ForgetVar(ψ, p) changes a lot after the forgetting operation, we can say that the formula ψ is more relevant ...
... after forgetting p, i.e. ψ ≡ ForgetVar(ψ, p). This extreme case is equivalent to the “binary” definition of independence which is proposed in the existing literature [2]. If the model set of ForgetVar(ψ, p) changes a lot after the forgetting operation, we can say that the formula ψ is more relevant ...
An Effective Reasoning Algorithm for Question Answering System
... time [17], causes and effects are the things that an intelligent system desires to represents [4][8]. The semantic net, conceptual dependency and script KR technique are described here. Semantic Net is commonly used KR technique that represents the connection between objects or class of objects. It ...
... time [17], causes and effects are the things that an intelligent system desires to represents [4][8]. The semantic net, conceptual dependency and script KR technique are described here. Semantic Net is commonly used KR technique that represents the connection between objects or class of objects. It ...
Arbitrary Announcements in Propositional Belief Revision
... the question is meaningful in this context, as there are natural applications where a reasonable treatment of announcements need not be concerned with nested beliefs. A non-trivial second contribution of the paper is a detailed analysis of the complexity of arbitrary announcements for a particular A ...
... the question is meaningful in this context, as there are natural applications where a reasonable treatment of announcements need not be concerned with nested beliefs. A non-trivial second contribution of the paper is a detailed analysis of the complexity of arbitrary announcements for a particular A ...
Artificial General Intelligence through Large
... lives). Learning such dependency models is the domain of a young field called statistical relational learning [26]. Considerable progress has been made on learning certain classes of relational dependencies [27,28], although learning models in highly expressive languages such as Bayesian logic [29] ...
... lives). Learning such dependency models is the domain of a young field called statistical relational learning [26]. Considerable progress has been made on learning certain classes of relational dependencies [27,28], although learning models in highly expressive languages such as Bayesian logic [29] ...
ARTIFICIAL INTELLIGENCE
... Knowledge may be declarative (passive knowledge as statements of fact about the world) or procedural (steps used to solve an algebraic equation are expressed). Heuristic knowledge:- a special type of knowledge used by humans to solve complex problems. Heuristics are the knowledge used to make good j ...
... Knowledge may be declarative (passive knowledge as statements of fact about the world) or procedural (steps used to solve an algebraic equation are expressed). Heuristic knowledge:- a special type of knowledge used by humans to solve complex problems. Heuristics are the knowledge used to make good j ...
Resolve and Expand
... Recent years witnessed huge improvements in techniques for checking satisfiability of propositional logic (SAT). The advancements are driven by better algorithms on one side and by new applications on the other side. The logic of quantified boolean formulas (QBF) is obtained from propositional logic ...
... Recent years witnessed huge improvements in techniques for checking satisfiability of propositional logic (SAT). The advancements are driven by better algorithms on one side and by new applications on the other side. The logic of quantified boolean formulas (QBF) is obtained from propositional logic ...
kb1
... KR model that represent a fact. (e.g., knowing that isa(robin,bird). • The implementation level refers to the way in which the knowledge is encoded, (e.g., isa(robin,bird) might be encoded as a list, array, database record, etc.) ...
... KR model that represent a fact. (e.g., knowing that isa(robin,bird). • The implementation level refers to the way in which the knowledge is encoded, (e.g., isa(robin,bird) might be encoded as a list, array, database record, etc.) ...
Slides
... portion of the z-curve represents branches of stable steady states. Dashed curves represent unstable steady states. The two branches of filled circles represent the maximum and minimum values of periodic solutions. The green dot-dashed curve is the s1 nullcline. HB=supercritical Hopf bifurcation, HM ...
... portion of the z-curve represents branches of stable steady states. Dashed curves represent unstable steady states. The two branches of filled circles represent the maximum and minimum values of periodic solutions. The green dot-dashed curve is the s1 nullcline. HB=supercritical Hopf bifurcation, HM ...
An Algorithm for Fast Convergence in Training Neural Networks
... where I is identity unit matrix, µ is a learning parameter and J is Jacobian of m output errors with respect to n weights of the neural network. For µ = 0 it becomes the Gauss-Newton method. For very large µ the LM algorithm becomes the steepest decent or the EBP algorithm. The µ parameter is automa ...
... where I is identity unit matrix, µ is a learning parameter and J is Jacobian of m output errors with respect to n weights of the neural network. For µ = 0 it becomes the Gauss-Newton method. For very large µ the LM algorithm becomes the steepest decent or the EBP algorithm. The µ parameter is automa ...
Planning for Concurrent Action Executions Under
... having an effect with time uncertainty would be modeled by nondeterministic effects, as many as the possible time points at which the effect may occur. The application of an action to a world state would result in each nondeterministic effect yielding a corresponding time stamped state, resulting in ...
... having an effect with time uncertainty would be modeled by nondeterministic effects, as many as the possible time points at which the effect may occur. The application of an action to a world state would result in each nondeterministic effect yielding a corresponding time stamped state, resulting in ...
Determination, Uniformity, and Relevance: Normative
... the generalization being implicit in prior knowledge. In that respect, there will be suggestions of methods for doing analogical reasoning. The other, perhaps more important, goal of this research has been to provide an underlying normative justification for the plausibility of analogy from a logica ...
... the generalization being implicit in prior knowledge. In that respect, there will be suggestions of methods for doing analogical reasoning. The other, perhaps more important, goal of this research has been to provide an underlying normative justification for the plausibility of analogy from a logica ...
Abstract
... samples belonging to other classes are similar to the distances to the training samples in other classes”. The distances are used to estimate the width of RBF units since they generally imply the range of RBF units. “The value of the function depends only upon the distance from its centre and thus i ...
... samples belonging to other classes are similar to the distances to the training samples in other classes”. The distances are used to estimate the width of RBF units since they generally imply the range of RBF units. “The value of the function depends only upon the distance from its centre and thus i ...
An Introduction to Evidential Reasoning for Decision Making under
... by a belief of zero in “x” and in “~x”, i.e., Bel(x) = 0, and Bel(~x) = 0. In addition, we can easily model partial ignorance under DS theory, whereas it is not possible to express partial ignorance under probability theory. For example, suppose the auditor wants to assess the effectiveness of a sec ...
... by a belief of zero in “x” and in “~x”, i.e., Bel(x) = 0, and Bel(~x) = 0. In addition, we can easily model partial ignorance under DS theory, whereas it is not possible to express partial ignorance under probability theory. For example, suppose the auditor wants to assess the effectiveness of a sec ...
Slides
... Theorem 2 Assume that is countable. Let hp; vi and hp ; v i be respectively an agent’s prior and posterior states of mind. Then there exists some partition of such that hp ; v i is obtained from hp; vi by generalised conditioning on this partition. Theory says nothing about how redistribution of pr ...
... Theorem 2 Assume that is countable. Let hp; vi and hp ; v i be respectively an agent’s prior and posterior states of mind. Then there exists some partition of such that hp ; v i is obtained from hp; vi by generalised conditioning on this partition. Theory says nothing about how redistribution of pr ...