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    AAAI
    2004
    93views Intelligent Agents» more  AAAI 2004»
    Branching and Pruning: An Optimal Temporal POCL Planner Based on Constraint Programming
    13 years 11 months ago
    Branching and Pruning: An Optimal Temporal POCL Planner Based on Constraint Programming
    Download  v.vidal.free.fr
    A key feature of modern optimal planners such as Graphplan and Blackbox is their ability to prune large parts of the search space. Previous Partial Order Causal Link (POCL) planne...
    Vincent Vidal, Hector Geffner
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    AAAI
    2006
    103views Intelligent Agents» more  AAAI 2006»
    Deciding Semantic Matching of Stateless Services
    13 years 11 months ago
    Deciding Semantic Matching of Stateless Services
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    We present a novel approach to describe and reason about stateless information processing services. It can be seen as an extension of standard descriptions which makes explicit th...
    Duncan Hull, Evgeny Zolin, Andrey Bovykin, Ian Hor...
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    AAAI
    2006
    103views Intelligent Agents» more  AAAI 2006»
    Identifiability in Causal Bayesian Networks: A Sound and Complete Algorithm
    13 years 11 months ago
    Identifiability in Causal Bayesian Networks: A Sound and Complete Algorithm
    Download  www.cse.sc.edu
    Yimin Huang, Marco Valtorta
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    AAAI
    2004
    137views Intelligent Agents» more  AAAI 2004»
    Towards Efficient Sampling: Exploiting Random Walk Strategies
    13 years 11 months ago
    Towards Efficient Sampling: Exploiting Random Walk Strategies
    Download  www.cs.cornell.edu
    From a computational perspective, there is a close connection between various probabilistic reasoning tasks and the problem of counting or sampling satisfying assignments of a pro...
    Wei Wei, Jordan Erenrich, Bart Selman
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    AAAI
    2006
    129views Intelligent Agents» more  AAAI 2006»
    Distributed Interactive Learning in Multi-Agent Systems
    13 years 11 months ago
    Distributed Interactive Learning in Multi-Agent Systems
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    Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
    Jian Huang, Adrian R. Pearce
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    AAAI
    2004
    129views Intelligent Agents» more  AAAI 2004»
    Artemis: Integrating Scientific Data on the Grid
    13 years 11 months ago
    Artemis: Integrating Scientific Data on the Grid
    Download  www.isi.edu
    Rattapoom Tuchinda, Snehal Thakkar, Yolanda Gil, E...
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    AAAI
    2006
    103views Intelligent Agents» more  AAAI 2006»
    Solving MAP Exactly by Searching on Compiled Arithmetic Circuits
    13 years 11 months ago
    Solving MAP Exactly by Searching on Compiled Arithmetic Circuits
    Download  www.aaai.org
    The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...
    Jinbo Huang, Mark Chavira, Adnan Darwiche
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    AAAI
    2004
    82views Intelligent Agents» more  AAAI 2004»
    Regression with Respect to Sensing Actions and Partial States
    13 years 11 months ago
    Regression with Respect to Sensing Actions and Partial States
    Download  www.public.asu.edu
    Le-Chi Tuan, Chitta Baral, Xin Zhang, Tran Cao Son
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    AAAI
    2004
    116views Intelligent Agents» more  AAAI 2004»
    Encoding Probabilistic Causal Model in Probabilistic Action Language
    13 years 11 months ago
    Encoding Probabilistic Causal Model in Probabilistic Action Language
    Download  www.public.asu.edu
    Pearl's probabilistic causal model has been used in many domains to reason about causality. Pearl's treatment of actions is very different from the way actions are repre...
    Nam Tran, Chitta Baral
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    AAAI
    2006
    151views Intelligent Agents» more  AAAI 2006»
    Object Boundary Detection in Images using a Semantic Ontology
    13 years 11 months ago
    Object Boundary Detection in Images using a Semantic Ontology
    Download  www.aaai.org
    We present a novel method for detecting the boundaries between objects in images that uses a large, hierarchical, semantic ontology
    Anthony Hoogs, Roderic Collins
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