Pfeifer, R. (1996). Building fungus eaters: Design principles of autonomous agents. In From Animals to Animats 4: Fourth International Conference on Simulation of Adaptive Behavior, pages 3--12. MIT Press/Bradford.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....which corresponds to an appropriate behaviour. Animals, however, exhibit a dynamically evolved See [22] for approximations in higher dimensions Visit [APPENDIX B:VI] for definition of the notation Refer to the following for various approaches to the design principles of autonomous agents: [18,19,21,24,25,26,31] The work in this section is influenced by the author s work at [38] interaction with the environment, which they affect and are affected by constantly. Given that the latter is not static, such an approach to the issue of behaviour selection is inadequate for creatures that have multiple ....

Pfeifer, R. "Building `Fungus Eaters': Design Principles of Autonomous Agents", Proceedings of the Fourth International Conference on Simulation of Adaptive Behaviour, MIT Press, Cambridge MA, 1996

....consists of more than designing the robots control system. If the goal is a simple and robust robotics system more must be taken into account during the design phase. Pfeifer has in his work pointed out the huge potential there is in exploiting the task environment and the morphology of the robot[11]. We also stress this point since if the taskenvironment and the morphology are given the robot system designer doesn t have much choice but to make Control System Morphology Environment Task Figure 1: The cycle of robot system development up for design problems of these elements by making a ....

R. Pfeifer. Building 'fungus eaters': Design principles of autonomous agents. In Proceedings of the 4th International Conference on the Simulation of Adaptive Behavior, 1996.

.... capable of sensori motor control, have been built in order to investigate a bottom up approach to artificial intelligence (see the overview in [7] Important results have been achieved, particularly by using behavior oriented architectures [12] and learning methods based on neural networks [5] or genetic algorithms [2] Nevertheless, it is still largely an open question how these robots may reach sufficient complexity in order to qualify as cognitive agents. Most of the experiments have focused on low level tasks like obstacle avoidance or navigation, and these have been difficult ....

Pfeifer, R. (1996) Building Fungus Eaters: Design Principles of Autonomous Agents. In: Proceedings of Fourth International Conference on Simulation of Adaptive Behavior. The MIT Press, Cambridge Ma.

.... is increasing evidence that in many cases a good morphology can simplify the control structure and make it more stable with respect to environmental changes [13, 10] It has been suggested that there exists a kind of ecological balance between morphology, neural control, task and environment [14]. In this paper we present a robot that is able to automatically modify its sensor morphology (to a certain degree) in order to improve its performance on the task of estimating a critical distance to some obstacle. 2 Method In our experiments we use a robot with adaptive morphology (see section ....

R. Pfeifer. Building fungus eaters : Design principles of autonomous agents. In [11], pages 3--12, 1996.

....and scalability problems. The experiments are conducted in a maze environment using a real robot. 1. Introduction There is a growing interest from the research community in developing intelligence systems for mobile robots that are based upon connectionist and biologically plausible models [Pfeifer, 1996]. The resulting systems, which utilise Artificial Neural Networks (ANNs) have the potential to make intelligent agents smarter, and offer insight into cognitive science issues that explore the link between brain and behaviour. In previous work, we have shown that ANN systems are readily ....

Pfeifer, R. (1996) Building Fungus Eaters: Design Principles of Autonomous Agents, From Animals to Animats 4. ed. Maes, P. et al., Cambridge, MA: MIT Press.

....tasks that are crucial to its further existence. According to Franklin in [ 10 ] an autonomous agent is a system situated within and a part of an environment that senses that environment and acts on it, over time, in pursuit of its own agenda and so as to effect what it senses in the future. In [ 25 ] , operational autonomy is defined as the capacity to operate without human intervention, without being remotely controlled. In [ 26 ] behavioral autonomy supposes that the basis of self steering originates in the agent s own capacity to form and adapt its principles of behavior: an agent, to be ....

R. Pfeifer. Building Fungus Eaters: Design Principles of Autonomous Agents. In Maes, Mataric, Meyer, Pollack, and Wilson, editors, Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, volume 4 From Animals to Animats, Cambridge, MA, 1996. MIT Press/Bradford Books.

....tasks that are crucial to its further existence. According to Franklin in [28] an autonomous agent is a system situated within and a part of an environment that senses that environment and acts on it, over time, in pursuit of its own agenda and so as to effect what it senses in the future. In [53], operational autonomy is defined as the capacity to operate without human intervention, without being remotely controlled. In [63] behavioral autonomy supposes that the basis of self steering originates in the agent s own capacity to form and adapt its principles of behavior: an agent, to be ....

R. Pfeifer. Building Fungus Eaters: Design Principles of Autonomous Agents. In Maes, Mataric, Meyer, Pollack, and Wilson, editors, Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, volume 4 From Animals to Animats, Cambridge, MA, 1996. MIT Press/Bradford Books.

....CCD cameras; 2) effectors, such as motors or grippers; and (3) a control architecture that allows for the coordination of all components. In order to pursue the new AI s goal of understanding intelligent behavior on an agent environmentinteraction level, 10 design principles have been developed (Pfeifer 1996) that provide a compact description of many aspects that are considered important for autonomous agent design. These design principles can be grouped into three classes. The first class demands that agents have to be complete systems , i.e. self sufficient embodied systems that are situated in ....

....brains. Instead, the control architecture should consist of several loosely coupled processes (Brooks 1985) each of which is responsible for a particular behavioral aspect. The demand of an ecological niche refers to the observation that there is no universality in the real world (Brooks 1991; Pfeifer 1996). The third class of design principles focuses on strategies and stances in research on autonomous agents. A more elaborate form of these design principles can be found in (Pfeifer 1996) Now, the questions are (1) whether cyberspace provides a real world environment for software agents and (2) ....

[Article contains additional citation context not shown here]

Pfeifer, R. 1996. Building fungus eaters: Design principles of autonomous agents. In Proceedings SAB 1996. The MIT Press/Bradford Books. In Press.

.... capable of sensori motor control, have been built in order to investigate a bottom up approach to artificial intelligence (see the overview in [8] Important results have been achieved, particularly by using behavior oriented architectures [14] and learning methods based on neural networks [6] or genetic algorithms [3] Nevertheless, it is still largely an open question how these robots may reach sufficient complexity in order to qualify as cognitive agents. Most of the experiments have focused on low level tasks like obstacle avoidance or navigation, and these have been difficult ....

Pfeifer, R. (1996) Building Fungus Eaters: Design Principles of Autonomous Agents. In: Proceedings of Fourth International Conference on Simulation of Adaptive Behavior. The MIT Press, Cambridge Ma.

....interaction with the environment in which they are situated. The key concept of autonomy refers to the independence of the functioning of the agent with respect to the surrounding system (environment, other entities, user, external context) Two types of autonomy are commonly pointed out [51] In [40], operational autonomy is defined as the agent s capacity to operate without human intervention and without being remotely controlled. In [47] behavioral autonomy supposes that the basis of self steering originates in the agent s own capacity to form (learn or decide) and adapt its principles of ....

R. Pfeifer. Building Fungus Eaters: Design Principles of Autonomous Agents. In Maes, Mataric, Meyer, Pollack, and Wilson, editors, Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, volume 4 From Animals to Animats, Cambridge, MA, 1996. MIT Press/Bradford Books.

No context found.

Pfeifer, R. (1996). Building fungus eaters: Design principles of autonomous agents. In From Animals to Animats 4: Fourth International Conference on Simulation of Adaptive Behavior, pages 3--12. MIT Press/Bradford.

No context found.

Pfeifer, R. "Building fungus eaters : Design principles of autonomous agents." In 27 , pages 3-12, 1996.

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