Building Agents with Memory: An Approach using Genetically Programmed Networks (1999) [1 citations — 1 self]
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author = {Arlindo Silva and Ana Neves and Ernesto Costa},
title = {Building Agents with Memory: An Approach using Genetically Programmed Networks},
booktitle = {In the Proceedings of the 1999 Congress on Evolutionary Computation (CEC 99},
year = {1999},
pages = {6--9},
publisher = {Morgan Kaufmann}
}
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Abstract:
To achieve a high degree of autonomy, an agent usually needs some kind of memory mechanism. In this article we present a new approach to the evolution of agents with memory, based on the use of Genetically Programmed Networks. These are connectionist structures where each node has an associated program, evolved using genetic programming. Genetically Programmed Networks can easily be evolved into agents with very different architectures. We present experimental results from evolving Genetically Programmed Networks as neural networks, distributed programs and rule-based systems capable of solving problems where the use of memory by the agent is essential. Comparisons are made between the performance of these solutions and the performance of solutions obtained by other evolutionary strategies used to evolve agents with memory 1 Introduction Autonomous agents need memory to encode the state information needed to efficiently solve complex problems. In most of the approaches where some for...
Citations
| 1921 | Genetic Programming I : On the Programming of Computers by Means of Natural Selection – Koza - 1992 |
| 87 | The evolution of mental models – Teller - 1994 |
| 48 | Antfarm: Towards simulated evolution – Collins, Jefferson - 1991 |
| 47 | Why ants are hard – Langdon, Poli - 1998 |
| 36 | Evolutionary Algorithms and Emergent Intelligence – Angeline - 1993 |
| 25 | Genetic programming in C++: Implementation issues – Keith, Martin - 1994 |
| 22 | Evolutionary programming with tree mutations: Evolving computer programs without crossover,” in Genetic Programming 1997 – Chellapilla - 1997 |
| 11 | An alternative to indexed memory for evolving programs with explicit state representations,” in Genetic Programming 1997 – Angeline - 1997 |
| 3 | Evolving Controllers for Autonomous Agents Using Genetically Programmed Networks – Silva, Neves, et al. - 1999 |
| 2 | Concurrent Genetic Programming and the Use of Explicit State to Evolve Agents – Trenaman - 1998 |
