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Showing 1 to 5 of 5 for “"simple agent"”.

  1. Repurposing a Roomba: Evaluating and training behavior in a simple agent

    … attempts to reprogram a Roomba to be used as a simple agent have led to interesting behavior. Observation has shown that the behavior of the Roomba is not only dependent on the precepts of the Roomba, but also relies heavily on the uncontrollable environmental conditions that the Roomba is …

    vcu Repository record for Repurposing a Roomba: Evaluating and training behavior in a simple agent (opens in a new tab)

  2. Agent Extensions for Peer-to-Peer Networks.

    … challenges to these networks. We will show that agent extensions to P2P networks offer solutions to many problems faced by P2P networks. In this research, an attempt is made to bring together JXTA P2P infrastructure and Jinni, a Prolog based agent engine to form an agent based P2P network. On top …

    unt Repository record for Agent Extensions for Peer-to-Peer Networks. (opens in a new tab)

  3. Computational Methods in Natural Resource Economics: Agent-Based Modeling and Hotelling's Rule

    … prototype model and methodology for validating a simple agent-based model against the basic Hotelling monopoly model and a few basic extensions. Hotelling's Rule identifes the expected behavior of a market for a nonrenewable resource. The statement is simple - marginal profit will increase at the …

    unm Repository record for Computational Methods in Natural Resource Economics: Agent-Based Modeling and Hotelling's Rule (opens in a new tab)

  4. Synthetic morphogenesis : space, time, and deformation

    … animal development. I explore ways in which simple agent programs running within the individual cells can collectively craft large-scale structures. The mechanical properties of the substrate prove crucial to the patterning process. In such a distributed, heterogeneous substrate, little can …

    mit Repository record for Synthetic morphogenesis : space, time, and deformation (opens in a new tab)

  5. Diverse Behavior Prediction through Deep Hybrid Models

    Predicting future motions of agents is a crucial task for autonomous vehicles. This task is challenging due to multi-modal traffic agent behaviors such as maneuvers. In addition, predictors are often required to generate a limited number of prediction samples to cover diverse behaviors, due to the …

    mit Repository record for Diverse Behavior Prediction through Deep Hybrid Models (opens in a new tab)