Autonomous Behavior of Computational Agents
نویسندگان
چکیده
In this paper we present an architecture for decision making of software agents that allows the agent to behave autonomously. Our target area is computational agents — encapsulating various neural networks, genetic algorithms, and similar methods — that are expected to solve problems of different nature within an environment of a hybrid computational multi-agent system. The architecture is based on the vertically-layered and beliefdesire-intention architectures. Several experiments with computational agents were conducted to demonstrate the benefits of the architecture.
منابع مشابه
بررسی تجربی و تئوری رفتار دینامیکی زیرسطحیها
In recent years, unmanned vehicles have intensively been developed to reduce risk on human life for marine applications. Predicting the dynamics behavior of an autonomous underwater vehicle is important during the vehicle’s design phase. In other words to design an AUV, one must clarify its maneuverability and controllability based on a mathematical model. The mathematical model contains variou...
متن کاملComputational intelligence agent-oriented modelling
In this paper a multi agent platform targeted towards the area of computational intelligence modeling is presented. We show the design of various computational agents and multi agent systems, as well as the infrastructure capabilities. The focus of the system is the interchangeability of computational components, their autonomous behavior, and emergence of new models. It is demonstrated that su...
متن کاملNeuroethology , Computational Dave
As with other entries in the Handbook, this article was constrained to be no longer than 4500 words and to have no more than 15 references. A star (*) next to a reference indicates that it is expository. Within the text, cross-references IN CAPITALS refer to other articles in the Handbook. INTRODUCTION Over the past decade, a number of neural network researchers have used the term computational...
متن کاملCoordination Approach to Find Best Defense Decision with Multiple Possibilities among Robocup Soccer Simulation Team
In 2D Soccer Simulation league, agents will decide based on information and data in their model. Effective decisions need to have world model information without any noise and missing data; however, there are few solutions to omit noise in world model data; so we should find efficient ways to reduce the effect of noise when making decisions. In this article we evaluate some simple solutions whe...
متن کاملComputational Neuroethology Chapter
Synopsis: Computational neuroethology is the use of modeling and simulation to study adaptive behavior. The conceptual framework of computational neuroethology emphasizes that nervous systems are embodied, that is, sensory pre-processing, biomechanical properties, and the integration of sensing and action during active perception are all critical for behavior. Furthermore, animals are situated ...
متن کاملDiscovering Latent States for Model Learning: Applying Sensorimotor Contingencies Theory and Predictive Processing to Model Context
Autonomous robots need to be able to adapt to unforeseen situations and to acquire new skills through trial and error. Reinforcement learning in principle offers a suitable methodological framework for this kind of autonomous learning. However current computational reinforcement learning agents mostly learn each individual skill entirely from scratch. How can we enable artificial agents, such a...
متن کامل