S. Nolfi. Power and the limits of reactive agents. Neurocomputing, 49, pages 119--145, 2002. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Pro-active agents - With Recurrent Neural Self-citation (Nolfi) (Correct)
No context found.
S. Nolfi. Power and the limits of reactive agents. Neurocomputing, 49, pages 119--145, 2002.
Towards Pro-active Embodied Agents: - On The Importance Self-citation (Nolfi) (Correct)
No context found.
S. Nolfi. Power and the limits of reactive agents. Neurocomputing, 49, pages 119--145, 2002.
The Importance of Viewing Cognition as the Result of.. - Nolfi, Baldassarre.. (2002) Self-citation (Nolfi) (Correct)
....position of finger itself that, as claimed above, directly provide a clear indication of the category of the object with which the agent has previously interacted. Other similar evolutionary experiments revealed several other ways in which evolved robots can exploit sensory motor coordination [14], such as to: a) increase the frequency of sensory states to which they can react more effectively and reduce the frequency of sensory states to which they react less effectively [17] b) select sensory states in which groups of sensory patterns requiring different motor answers do not strongly ....
.... patterns requiring different motor answers do not strongly overlap [18] c) increase the perceived differences between different objects [19, 20] d) select useful learning experiences [19] d) exploit behavioral attractors resulting from the interaction between the robot and the environment [14]. 2 Exploiting social interactions In the previous section we discussed how individual robots might exploit behaviors emerging from the interaction between the robot and the environment. The ability to exploit finegrained interaction between the robot and the environment allow individual robots ....
Nolfi S. (2002). Power and Limits of Reactive Agents. Neurocomputing, 42:119-145.
Synthesis of Autonomous Robots Through Evolution - Nolfi, Floreano (2002) (1 citation) Self-citation (Nolfi) (Correct)
....former are much more simple and can be manipulated much more freely than the latter. In addition, such analysis may allow the identification of new explanatory hypotheses that may produce new models of natural behavior. By carefully analyzing the result of a simple evolutionary experiment, Nolfi [20, 21] showed that evolved individuals exploit behavioral attractors resulting from the interaction between the robot and the environment in order to discriminate between different objects. In this experiment the miniature mobile Khepera robot [22] was asked to locate and remain close to a target ....
....or the amount of ambient light. The control system of the robot was a neural network with six sensory neurons encoding the activation of the six frontal infrared sensors and two output neurons encoding the speeds of the two wheels (for a detailed description of the experiment parameters see [20, 21]. By evolving the weights of the neural controllers, the author observed that after few generations evolved individuals were able to find and stay close to the cylindrical object. This implied that evolved robots were capable of discriminating between walls and cylinders. 180 270 0 90 180 45 ....
[Article contains additional citation context not shown here]
Nolfi, S. (in press) Power and Limits of Reactive Agents. Neurocomputing
Evolutionary Learning Outperforms - Reinforcement Learning On (Correct)
No context found.
S. Nolfi. Power and the limits of reactive agents. Neurocomputing, 42:119-- 145, 2002.
A Situated Model for Sensory-motor - Coordination In Gaze (Correct)
No context found.
Nolfi, S., 2002. Power and the limits of reactive agents. Neurocomputing 42, 119--145.
Timing is important: delaying action execution in - Plastic Neural Networks (Correct)
No context found.
S. Nolfi. Power and limits of reactive agents. Neurocomputing, 49:119--145, 2002.
A Situated Model of Active Vision - De Croon Postma (Correct)
No context found.
S. Nolfi. Power and the limits of reactive agents. Neurocomputing, 42:119--145, 2002.
Reactive Agents and Perceptual Ambiguity - Michel Van Dartel (2003) (Correct)
No context found.
S. Nolfi. Power and limits of reactive agents. Neurocomputing, 49:119--145, 2002.
Reactive Agents and Perceptual Ambiguity - Michel Van Dartel (2003) (Correct)
No context found.
S. Nolfi. Power and limits of reactive agents. Neurocomputing, 49:119--145, 2002.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC