Combining Linear Programming and Satisfiability Solving for
... are boolean-valued; typeface are real. must be solved to solve the entire LCNF problem1 . The key to the encoding is the simple but expressive concept of triggers — each propositional variable may trigger a constraint; this constraint is then enforced whenever the variable’s truth assignment is true ...
... are boolean-valued; typeface are real. must be solved to solve the entire LCNF problem1 . The key to the encoding is the simple but expressive concept of triggers — each propositional variable may trigger a constraint; this constraint is then enforced whenever the variable’s truth assignment is true ...
Distributed Constraint Satisfaction Algorithm for Complex Local
... A CSP consists of n variables x1 ; x2 ; : : : ; xn , whose values are taken from finite, discrete domains D1 ; D2 ; : : : ; Dn , respectively, and a set of constraints on their values. A constraint is defined by a predicate. That is, the constraint pk (xk 1 ; 1 1 1 ; xkj ) is a predicate defined on ...
... A CSP consists of n variables x1 ; x2 ; : : : ; xn , whose values are taken from finite, discrete domains D1 ; D2 ; : : : ; Dn , respectively, and a set of constraints on their values. A constraint is defined by a predicate. That is, the constraint pk (xk 1 ; 1 1 1 ; xkj ) is a predicate defined on ...
Planning and acting in partially observable stochastic domains
... the robot to take actions for the purpose of gathering information, such as searching for a landmark or reading signs on the wall. In general, it will take actions that fulfill both purposes simultaneously. ...
... the robot to take actions for the purpose of gathering information, such as searching for a landmark or reading signs on the wall. In general, it will take actions that fulfill both purposes simultaneously. ...
Constraint Programming: In Pursuit of the Holy Grail
... physical worlds and their mathematical abstractions naturally and transparently. A constraint is simply a logical relation among several unknowns (or variables), each taking a value in a given domain. The constraint thus restricts the possible values that variables can take, it represents partial in ...
... physical worlds and their mathematical abstractions naturally and transparently. A constraint is simply a logical relation among several unknowns (or variables), each taking a value in a given domain. The constraint thus restricts the possible values that variables can take, it represents partial in ...
Getting More Out of the Exposed Structure in Constraint
... (Bessiere 2006), but they work in between constraints and cannot be reflected solely on individual domains. Now if we consider marginal distributions over subsets of variables (two or more), we may define stronger levels of consistency within individual constraints akin to path and k-consistency tha ...
... (Bessiere 2006), but they work in between constraints and cannot be reflected solely on individual domains. Now if we consider marginal distributions over subsets of variables (two or more), we may define stronger levels of consistency within individual constraints akin to path and k-consistency tha ...
Disco – Novo – GoGo Meinolf Sellmann Carlos Ans´otegui
... entries from to , such that the sum of the entries in each column, row, and the main diagonals is the same. In a Diagonally Ordered Magic Square (DOMS) (Gomes and Sellmann 2004) the entries on the main diagonals, when traversed from left to right, have strictly increasing values. To the best of our ...
... entries from to , such that the sum of the entries in each column, row, and the main diagonals is the same. In a Diagonally Ordered Magic Square (DOMS) (Gomes and Sellmann 2004) the entries on the main diagonals, when traversed from left to right, have strictly increasing values. To the best of our ...
Solution Manual Artificial Intelligence a Modern Approach
... 1.9 Evolution tends to perpetuate organisms (and combinations and mutations of organisms) that are succesful enough to reproduce. That is, evolution favors organisms that can optimize their performance measure to at least survive to the age of sexual maturity, and then be able to win a mate. Rationa ...
... 1.9 Evolution tends to perpetuate organisms (and combinations and mutations of organisms) that are succesful enough to reproduce. That is, evolution favors organisms that can optimize their performance measure to at least survive to the age of sexual maturity, and then be able to win a mate. Rationa ...
Induction of decision trees
... 1. the diagnosis o f a medical condition from symptoms, in which the classes could be either the various disease states or the possible therapies; 2. determining the game-theoretic value o f a chess position, with the classes won for white, lost for white, and drawn; and 3. deciding from atmospheric ...
... 1. the diagnosis o f a medical condition from symptoms, in which the classes could be either the various disease states or the possible therapies; 2. determining the game-theoretic value o f a chess position, with the classes won for white, lost for white, and drawn; and 3. deciding from atmospheric ...
BENCHMARKING THE TRANSITION TO AGILE MANUFACTURING: A KNOWLEDGE-BASED SYSTEMS APPROACH
... The table contained by flexibility in the prototype consists of nine rules that aggregate the values returned for these key factors. These factors relate to the firm’s use of hardware and software ...
... The table contained by flexibility in the prototype consists of nine rules that aggregate the values returned for these key factors. These factors relate to the firm’s use of hardware and software ...
Dynamic Programming for Partially Observable Stochastic Games
... dominated strategies in normal form games, which also allows agents to have different beliefs. In fact, our approach can be viewed as a synthesis of dynamic programming for POMDPs and iterated elimination of dominated strategies in normal form games. We define a generalized notion of belief that inc ...
... dominated strategies in normal form games, which also allows agents to have different beliefs. In fact, our approach can be viewed as a synthesis of dynamic programming for POMDPs and iterated elimination of dominated strategies in normal form games. We define a generalized notion of belief that inc ...
Efficient Interdependent Value Combinatorial Auctions with Single Minded Bidders
... an instantiation of Dasgupta and Maskin’s model, by identifying a linear valuation model in which the fixed point convergence and single crossing conditions are satisfied. However, the results in Ito and Parkes allow the implementation of the efficient auction only in the single item case. For singl ...
... an instantiation of Dasgupta and Maskin’s model, by identifying a linear valuation model in which the fixed point convergence and single crossing conditions are satisfied. However, the results in Ito and Parkes allow the implementation of the efficient auction only in the single item case. For singl ...
Inference in Bayesian Networks
... Properties of Variable Elimination • Time is exponential in size of largest factor ...
... Properties of Variable Elimination • Time is exponential in size of largest factor ...
POMDP solution methods - Department of Computer Science
... A system history h from the set of all system histories Hs provides an external, objective view about the process; therefore, value functions will be defined on the set Hs in the next subsection. In a partially observable environment, an agent cannot fully observe the underlying world state; therefo ...
... A system history h from the set of all system histories Hs provides an external, objective view about the process; therefore, value functions will be defined on the set Hs in the next subsection. In a partially observable environment, an agent cannot fully observe the underlying world state; therefo ...
Solving Distributed Constraint Optimization Problems Using Logic
... information to other agents; and (iii) sampling-based algorithms [36, 34], where the agents sample the search space in a decentralized manner. The existing algorithms have been designed and developed almost exclusively using imperative programming techniques, where the algorithms define a control fl ...
... information to other agents; and (iii) sampling-based algorithms [36, 34], where the agents sample the search space in a decentralized manner. The existing algorithms have been designed and developed almost exclusively using imperative programming techniques, where the algorithms define a control fl ...
pdf file
... values of attributes of this object. It is possible to observe the object leading to input information consisting of observable properties. On the basis of these properties information on the values of attributes of the object is derived. This task involves interpretation: interpreting observable pr ...
... values of attributes of this object. It is possible to observe the object leading to input information consisting of observable properties. On the basis of these properties information on the values of attributes of the object is derived. This task involves interpretation: interpreting observable pr ...
Solving Distributed Constraint Optimization Problems Using Logic
... is a set of agents; and α : X → A maps each variable to one agent. A solution is a value assignment for all variables and its corresponding utility is the evaluation of all utility functions on such solution. The goal is to find a utility-maximal solution. A DCOP can be described by a constraint gra ...
... is a set of agents; and α : X → A maps each variable to one agent. A solution is a value assignment for all variables and its corresponding utility is the evaluation of all utility functions on such solution. The goal is to find a utility-maximal solution. A DCOP can be described by a constraint gra ...
Structure and Complexity in Planning with Unary - PuK
... Bylander showed that STRIPS planning in domains where each operator is restricted to have positive preconditions and one postcondition only is tractable. Bäckström and Klein [1] considered other types of local restrictions, but using a more refined model in which two types of preconditions are con ...
... Bylander showed that STRIPS planning in domains where each operator is restricted to have positive preconditions and one postcondition only is tractable. Bäckström and Klein [1] considered other types of local restrictions, but using a more refined model in which two types of preconditions are con ...
Learning Distinctions and Rules in a Continuous World through
... h̃x = 2.0 which allows it to add hx as a context to r1 giving r1 = h{hx } : ux →(300, ∞) ⇒ ḣx →(0, ∞)i. Putting hx in the context of r1 allows the agent to determine if event ḣx→(0, ∞) will follow ux→(300, ∞) by looking at the value of hx (t). Rule r1 is an example of a causal predictive rule. The ...
... h̃x = 2.0 which allows it to add hx as a context to r1 giving r1 = h{hx } : ux →(300, ∞) ⇒ ḣx →(0, ∞)i. Putting hx in the context of r1 allows the agent to determine if event ḣx→(0, ∞) will follow ux→(300, ∞) by looking at the value of hx (t). Rule r1 is an example of a causal predictive rule. The ...
Combining satisfiability techniques from AI and OR
... to both communities, but until recently, the two fields have seldom collaborated. The fields have evolved independently, use different techniques, and each has a unique framework for approaching problems. It is only recently that there have been attempts to build algorithms integrating techniques fr ...
... to both communities, but until recently, the two fields have seldom collaborated. The fields have evolved independently, use different techniques, and each has a unique framework for approaching problems. It is only recently that there have been attempts to build algorithms integrating techniques fr ...
Separating value from choice: delay discounting activity in the lateral
... of the two alternatives and subsequently expressed their preference between the two options. The total trial duration was also fixed, regardless of the choices of the monkey, to ensure that selecting the smaller immediate reward could not lead to higher overall reward rates. To examine the effect of ...
... of the two alternatives and subsequently expressed their preference between the two options. The total trial duration was also fixed, regardless of the choices of the monkey, to ensure that selecting the smaller immediate reward could not lead to higher overall reward rates. To examine the effect of ...
The Rules of Logic Composition for the Bayesian - IME-USP
... (1 ×...×k ) which is equivalent to a logical composition of statements, H 1 ,...,H k , concerning the elementary components, θ 1 ∈ 1 ,...,θ k ∈ k , respectively. Within this setting, means to evaluate the credibility of H , as well as that of each of its elementary components, H 1 ,...,H k , is ...
... (1 ×...×k ) which is equivalent to a logical composition of statements, H 1 ,...,H k , concerning the elementary components, θ 1 ∈ 1 ,...,θ k ∈ k , respectively. Within this setting, means to evaluate the credibility of H , as well as that of each of its elementary components, H 1 ,...,H k , is ...
- Hayden Lab
... level, regression coefficients for offer value 1 in epoch 2 are anticorrelated with coefficients for offer value 2 in the same epoch (r = 0.218, p = 0.006) (Figure 4B). We confirmed the significance of this correlation using a bootstrap correlation test (p = 0.0061; see Experimental Procedures). To ...
... level, regression coefficients for offer value 1 in epoch 2 are anticorrelated with coefficients for offer value 2 in the same epoch (r = 0.218, p = 0.006) (Figure 4B). We confirmed the significance of this correlation using a bootstrap correlation test (p = 0.0061; see Experimental Procedures). To ...
ECAI Paper PDF - MIT Computer Science and Artificial Intelligence
... In this section we investigate how optimization over lattices, as defined in Sec. 2, and in particular diagnosis, can be framed as a semiring-CSP. Since the mathematical properties of semiring-CSPs ensure that local constraint propagation is applicable, this will be the basis for efficient solution ...
... In this section we investigate how optimization over lattices, as defined in Sec. 2, and in particular diagnosis, can be framed as a semiring-CSP. Since the mathematical properties of semiring-CSPs ensure that local constraint propagation is applicable, this will be the basis for efficient solution ...
Toward General Analysis of Recursive Probability Models
... we just show the process for a query with no evidence. The technique for adding evidence will be shown later. A basic expression for a variable is simply a stochastic function of its parents. To form an expression for the query, one must form each variable in tum by passing in the distribution for i ...
... we just show the process for a query with no evidence. The technique for adding evidence will be shown later. A basic expression for a variable is simply a stochastic function of its parents. To form an expression for the query, one must form each variable in tum by passing in the distribution for i ...