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Minimal-Intelligence Agents for Bargaining Behaviors in Market-Based Environments
This report describes simple mechanisms that allow autonomous software agents to en gage in bargaining behaviors in market based environments Groups of agents with such mechanisms could be used in…
Tracking the Red Queen: Measurements of Adaptive Progress in Co-Evolutionary Simulations
TLDR
This work proposes a set of appropriate performance measures based on both genetic and behavioral data, and illustrates their use in a simulation of co-evolution between genetically specified continuous-time noisy recurrent neural networks which generate pursuit and evasion behaviors in autonomous agents.
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In/Proceedings of the 15th IEEE International Conference on the Engineering of Complex Computer Systems/ (ICECCS 2010), Oxford
Adding Temporary Memory to ZCS
TLDR
Results from the first reconstruction of ZCS are presented, showing that inaccurate overgeneral classifiers can interact with the classifier-generation mechanisms to cause catastrophic breakdowns in overall system performance and finding stochastic solutions when there is insufficient memory.
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Zero is Not Enough: On The Lower Limit of Agent Intelligence For Continuous Double Auction Markets†
agent continuous double auction, trade Gode and Sunder's (1993) results from using "zero-intelligence" (ZI) traders, that act randomly within a structured market, appear to imply that convergence to…
Creatures: artificial life autonomous software agents for home entertainment
TLDR
A technical description of Creatures, a commercial home-entertainment software package that provides a simulated environment in which exist a number of synthetic agents that a user can interact with in real-time, and a discussion of the scientific implications of the system.
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Large-scale complex IT systems
The reductionism behind today's software-engineering methods breaks down in the face of systems complexity.
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Evolution of market mechanism through a continuous space of auction-types
  • D. Cliff
  • Art
    Proceedings of the Congress on Evolutionary…
  • 12 May 2002
TLDR
A continuous space of auction mechanisms is explored via a genetic algorithm, with artificial trading agents ope rating in the evolved markets finding hybrids of these auction types to give the most desirable market dynamics.
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Explorations in Evolutionary Robotics
TLDR
Results demonstrate that robust visually guided control systems evolve from evaluation functions that do not explicitly require monitoring visual input, and propose an automatic design process involving artificial evolution, wherein the basic building blocks for evolving cognitive architectures are noise-tolerant dynamical neural networks.
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Strategic bidding in continuous double auctions
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