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GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 8 months ago
Designing safe, profitable automated stock trading agents using evolutionary algorithms
Trading rules are widely used by practitioners as an effective means to mechanize aspects of their reasoning about stock price trends. However, due to the simplicity of these rule...
Harish Subramanian, Subramanian Ramamoorthy, Peter...
MSV
2007
15 years 5 months ago
Designing PRIMA: A Precise Visual Language for Modeling with Agents, in a Physical environment
In this paper we introduce PRIMA: A PRecise vIsual language for Modeling with Agents, in a physical environment. Our objective is to design an expressive Domain Specific Visual La...
Alexandre Muzy, Juan de Lara, Esther Guerra
QSIC
2005
IEEE
15 years 9 months ago
Towards Goal-Oriented Design of Agent Systems
The initial step of any software engineering methodology is to form requirements. Recently, a goal-oriented approach to requirements has been proposed and argued to be beneficial...
Jason Khallouf, Michael Winikoff
AINA
2007
IEEE
15 years 8 months ago
On the Design of an Efficient Architecture for Supporting Large Crowds of Autonomous Agents
Crowd simulations require both rendering visually plausible images and managing the behavior of autonomous agents. Therefore, these applications need an efficient design that allo...
Miguel Lozano, Pedro Morillo, Juan M. Orduñ...
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 7 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono