See this document in CiteSeerX!

Efficiently Searching a Graph by a Smell-Oriented Vertex Process  (Make Corrections)  
Israel A. Wagner, Michael Lindenbaum, Alfred M. Bruckstein
Annals of Mathematics and Artificial Intelligence



  Home/Search   Context   Related

 
View or download:
cs.technion.ac.il/~wagner/pu...vaw.ps.Z
Cached:  PS.gz  PS  PDF   Image  Update  Help

From:  cs.technion.ac.il/~wagner/ (more)
(Enter author homepages)

Rate this article: (best)
  Comment on this article  
(Enter summary)

Abstract: Efficient graph search is a central issue in many aspects of AI. In most of existing work there is a distinction between the active "searcher", which both executes the algorithm and holds the memory, and the passive "searched graph", over which the searcher has no control at all. Large dynamic networks like the Internet, where the nodes are powerful computers and the links have narrow band and are heavily-loaded, call for a different paradigm, in which most of the burden of computing and... (Update)

Similar documents (at the sentence level):
7.1%:   ANTS: Agents, Networks, Trees, and Subgraphs - Wagner, Lindenbaum, Bruckstein (1999)   (Correct)

Active bibliography (related documents):   More   All
1.5:   Cooperative Covering by Ant-Robots using Evaporating Traces - Wagner, Lindenbaum.. (1996)   (Correct)
0.9:   Hamiltonian(t) - An Ant-Inspired Heuristic for Recognizing.. - Wagner, Bruckstein (1999)   (Correct)
0.4:   Efficiently Exploring a Continuous Unknown Domain by.. - Wagner, Lindenbaum.. (1998)   (Correct)

Similar documents based on text:   More   All
0.2:   Multi-Agent Physical A* Using Large Pheromones - Ariel Felner Yaron (2004)   (Correct)
0.1:   On the Polygon-Search Conjecture - Lee, Park, Chwa (2000)   (Correct)
0.1:   A Generalized Uncertainty Principle and Sparse - Representation In Pairs   (Correct)

BibTeX entry:   (Update)

@article{ wagner98efficiently,
    author = "Israel A. Wagner and Michael Lindenbaum and Alfred M. Bruckstein",
    title = "Efficiently Searching a Graph by a Smell-Oriented Vertex Process",
    journal = "Annals of Mathematics and Artificial Intelligence",
    volume = "24",
    number = "1-4",
    pages = "211-223",
    year = "1998",
    url = "citeseer.ist.psu.edu/24783.html" }
Citations (may not include all citations):
405   Depth-First Search and Linear Graph Algorithms (context) - Tarjan - 1972
251   The Ant System: Optimization by a Colony of Cooperating Agen.. - Dorigo, Maniezzo et al. - 1996
209   Computer Science Press (context) - Even, Algorithms - 1979
168   Real-Time Heuristic Search (context) - Korf - 1990
80   The Role of Exploration in Learning Control - Thrun - 1992
73   The Self-Avoiding Walk (context) - Madras, Slade - 1993
64   Efficient Exploration in Reinforcement Learning - Thrun
21   Short Random Walks on Graphs - Barnes, Feige - 1993
20   Random Walks, Universal Traversal Sequences, and the Complex.. (context) - Aleliunas, Karp et al. - 1979
10   Efficient Algorithms for Graph Manipulation (context) - Hopcroft, Tarjan - 1973
8   Graph learning with a nearest neighbor approach (context) - Koenig, Smirnov - 1996
6   Trading Space for Time in Undirected s \Gamma t Connectivity (context) - Broder, Karlin et al. - 1994
5   Smell as a Computational Resource - A Lesson We Can Learn fr.. (context) - Wagner, Lindenbaum et al.
4   the capability of finite automata in 2 and 3 dimensional spa.. (context) - Blum, Sakoda - 1977
4   the power of the compass, or, Why mazes are easier to search.. (context) - Blum, Kozen - 1978
4   Cooperative Covering by Ant-Robots using Evaporating Traces - Wagner, Lindenbaum et al. - 1996
3   Search in a Maze (context) - Gal, Anderson - 1990
3   Le problem des labyrinths (context) - Tarry

Documents on the same site (http://www.cs.technion.ac.il/~wagner/):   More
An Interactive VLSI CAD Tool for Yield Estimation - Wagner, Koren (1995)   (Correct)
Cooperative Covering by Ant-Robots using Evaporating Traces - Wagner, Lindenbaum.. (1996)   (Correct)
Row Straightening via Local Interactions - Wagner, Bruckstein   (Correct)

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC