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40
Predicate Logic Unplugged
- In Proceedings of the 10th Amsterdam Colloquium
, 1995
"... this paper we describe the syntax and semantics of a description language for underspecified semantic representations. This concept is discussed in general and in particular applied to Predicate Logic and Discourse Representation Theory. The reason for exploring underspecified representations as sui ..."
Abstract
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Cited by 156 (7 self)
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as suitable semantic representations for natural language expressions emerges directly from practical natural language processing applications. The so-called Combinatorial Explosion Puzzle, a well known problem in this area, can succesfully be tackled by using underspecified representations. The source
Johan Bos
- In Proceedings of the 10th Amsterdam Colloquium
, 1996
"... this paper we describe the syntax and semantics of a description language for underspecified semantic representations. This concept is discussed in general and in particular applied to Predicate Logic and Discourse Representation Theory. The reason for exploring underspecified representations as sui ..."
Abstract
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as suitable semantic representations for natural language expressions emerges directly from practical natural language processing applications. The so-called Combinatorial Explosion Puzzle, a well known problem in this area, can succesfully be tackled by using underspecified representations. The source
Optimizations of the Combinatorial Neural Model
"... In this paper we present significant optimizations of the so-called Combinatorial Neural Model (CNM). CNM is a hybrid (neural/symbolic) model that has been used in areas such as expert system development and data mining. The paper first explains the CNM architecture and goes on to present CNM optimi ..."
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In this paper we present significant optimizations of the so-called Combinatorial Neural Model (CNM). CNM is a hybrid (neural/symbolic) model that has been used in areas such as expert system development and data mining. The paper first explains the CNM architecture and goes on to present CNM
Abstract Optimizations of the Combinatorial Neural Model
"... In this paper we present significant optimizations of the so-called Combinatorial Neural Model (CNM). CNM is a hybrid (neural/symbolic) model that has been used in areas such as expert system development and data mining. The paper first explains the CNM architecture and goes on to present CNM optimi ..."
Abstract
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In this paper we present significant optimizations of the so-called Combinatorial Neural Model (CNM). CNM is a hybrid (neural/symbolic) model that has been used in areas such as expert system development and data mining. The paper first explains the CNM architecture and goes on to present CNM
JOURNAL OF COMBINATORIAL THEORY (R) 16, 86-96 (1974) Graph Puzzles, Homotopy, and the Alternating Group”
, 1973
"... The so-called 15-puzzle may be generalized to a puzzle based on an arbitrary graph. We consider labelings or colorings of the vertices and the operation of switching one distinguished label with a label on an adjacent vertex. Starting from a given labeling, iterations of this operation allow one to ..."
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The so-called 15-puzzle may be generalized to a puzzle based on an arbitrary graph. We consider labelings or colorings of the vertices and the operation of switching one distinguished label with a label on an adjacent vertex. Starting from a given labeling, iterations of this operation allow one
Semantic Ambiguity and Perceived Ambiguity
- Semantic Ambiguity and Underspecification
, 1994
"... I explore some of the issues that arise when trying to establish a connection between the underspecification hypothesis pursued in the NLP literature and work on ambiguity in semantics and in the psychological literature. A theory of underspecification is developed `from the first principles&apo ..."
Abstract
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Cited by 41 (9 self)
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are discussed. 1 The Combinatorial Explosion Puzzle The alternative syntactic readings of a sen...
Pushing the Limits: New Developments in Single-Agent Search
, 1999
"... Search is one of the fundamental methods in artificial intelligence (AI). It is at the core of many successes of AI that range from beating world champions in non-trivial games to building master schedules for large corporations. However, the applications of today and tomorrow require more than exha ..."
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Cited by 32 (4 self)
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exhaustive, brute-force search, because these application domains have become increasingly complex. Traditional methods fail to break the complexity barrier caused by the combinatorial explosion that characterizes these large, real-world domains. This thesis enhances our understanding of single-agent search
A Quantitative Study of Pure Parallel Processes∗
, 2014
"... In this paper, we study the interleaving – or pure merge – operator that most often characterizes parallelism in concurrency theory. This operator is a principal cause of the so-called combinatorial explosion that makes very hard- at least from the point of view of computational complexity- the anal ..."
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In this paper, we study the interleaving – or pure merge – operator that most often characterizes parallelism in concurrency theory. This operator is a principal cause of the so-called combinatorial explosion that makes very hard- at least from the point of view of computational complexity
Time Petri Nets Analysis with TINA
"... Abstract — Beside the usual graphic editing and simulation facilities, the software tool Tina may build a number of state space abstractions for Petri nets or Time Petri nets, preserving certain classes of properties. For Petri nets, these abstractions help preventing combinatorial explosion and rel ..."
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and rely on so-called partial order techniques such as covering steps and/or persistent sets. For Time Petri nets, that have in general infinite state spaces, they provide finite representation of their behavior, in terms of state class graphs.
Using Embryonic Stages to increase the evolvability of development
- In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004) Workshop Program
, 2004
"... Indirect encoding methods are aimed at the reduction of the combinatorial explosion of search spaces, therefore increasing the evolvability of large phenotypes. These so called Artificial Embryogeny systems have so far shown increased scalability for problems involving solutions of low complexity. T ..."
Abstract
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Cited by 13 (2 self)
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Indirect encoding methods are aimed at the reduction of the combinatorial explosion of search spaces, therefore increasing the evolvability of large phenotypes. These so called Artificial Embryogeny systems have so far shown increased scalability for problems involving solutions of low complexity
Results 1 - 10
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