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    » Evolving autonomous agent control in the Xpilot environment
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    AROBOTS
    1999
    140views more  AROBOTS 1999»
    A Robust Analog VLSI Motion Sensor Based on the Visual System of the Fly
    13 years 7 months ago
    A Robust Analog VLSI Motion Sensor Based on the Visual System of the Fly
    Download  www.ece.utah.edu
    Sensing visual motion gives a creature valuable information about its interactions with the environment. Flies in particular use visual motion information to navigate through turbu...
    Reid R. Harrison, Christof Koch
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    CONNECTION
    2004
    134views more  CONNECTION 2004»
    'Feeling' the flow of time through sensorimotor co-ordination
    13 years 7 months ago
    'Feeling' the flow of time through sensorimotor co-ordination
    Download  code.ulb.ac.be
    In this paper, we aim to design decision-making mechanisms for a simulated Khepera robot equipped with simple sensors, which integrates over time its perceptual experience in order...
    Elio Tuci, Vito Trianni, Marco Dorigo
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    AAAI
    2008
    169views Intelligent Agents» more  AAAI 2008»
    Perpetual Learning for Non-Cooperative Multiple Agents
    13 years 9 months ago
    Perpetual Learning for Non-Cooperative Multiple Agents
    Download  www.aaai.org
    This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
    Luke Dickens
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    CEC
    2005
    IEEE
    107views Artificial Intelligence» more  CEC 2005»
    Effects of experience bias when seeding with prior results
    14 years 1 months ago
    Effects of experience bias when seeding with prior results
    Download  cs.gmu.edu
    Abstract- Seeding the population of an evolutionary algorithm with solutions from previous runs has proved to be useful when learning control strategies for agents operating in a c...
    Mitchell A. Potter, R. Paul Wiegand, H. Joseph Blu...
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    WSC
    2007
    163views Modeling And Simulation» more  WSC 2007»
    Self organized UAV swarm planning optimization for search and destroy using SWARMFARE simulation
    13 years 9 months ago
    Self organized UAV swarm planning optimization for search and destroy using SWARMFARE simulation
    Download  www.informs-sim.org
    As military interest continues to grow for Unmanned Aerial Vehicle (UAV) capabilities, the Air Force is exploring UAV autonomous control, mission planning and optimization techniq...
    Dustin J. Nowak, Ian C. Price, Gary B. Lamont
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