Title :
Generalization in an autonomous agent
Author :
Kalmár, Zs ; Szepesvári, Cs ; Lörincz, A.
Author_Institution :
Dept. of Math., Attila Jozsef Univ. Szeged, Hungary
fDate :
27 Jun-2 Jul 1994
Abstract :
We present an extension of the previously defined model (1994). This model was introduced to govern an agent in a goal-programmed fashion in a previously unknown environment. The extension allows generalization in the input space, which reduces the memory requirements as well as the time requirements of the algorithm
Keywords :
cognitive systems; generalisation (artificial intelligence); heuristic programming; inference mechanisms; neural nets; software agents; autonomous agent; cognitive space; decision system; dimension reducing system; generalization; goal-programming; input space; neural nets; Algorithm design and analysis; Artificial neural networks; Autonomous agents; Buildings; Image resolution; Isotopes; Mathematics; Organizing; Spatial filters; Spatial resolution;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374432
