The connection machine
Towards a new architecture for symbolic processing
AIICSR'94 Proceedings of the sixth international conference on Artificial intelligence and information-control systems of robots
Journal of Computer and System Sciences
Theoretical Computer Science
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Mathematical Theory of L Systems
Mathematical Theory of L Systems
Networks of Parallel Language Processors
New Trends in Formal Languages - Control, Cooperation, and Combinatorics (to Jürgen Dassow on the occasion of his 50th birthday)
Solving NP-Complete Problems With Networks of Evolutionary Processors
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
A New Class of Symbolic Abstract Neural Nets: Tissue P Systems
COCOON '02 Proceedings of the 8th Annual International Conference on Computing and Combinatorics
Ant Colony Optimization
On the size complexity of hybrid networks of evolutionary processors
Theoretical Computer Science - Descriptional complexity of formal systems
DNA Computing: New Computing Paradigms (Texts in Theoretical Computer Science. An EATCS Series)
DNA Computing: New Computing Paradigms (Texts in Theoretical Computer Science. An EATCS Series)
Hybrid networks of evolutionary processors
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Accepting hybrid networks of evolutionary processors
DNA'04 Proceedings of the 10th international conference on DNA computing
Hi-index | 0.00 |
Networks of Evolutionary Processors (NEPs) ---introduced in Castellanos et al. (2001)--- are a new computing mechanism directly inspired in the behaviour of cell populations. NEPs, as well as generating devices, can be considered as bio-inspired context-sensitive multi-agent systems. This paper analyzes the agential features of NEPs and their special responses to the environment, which make this system specially suitable for description of Natural Language.