Abstract In this paper, we describe our design of a behaviour-based control system for autonomous agents with accent on self-control and self-motivation aspects of the agent control. Agents could be represented by simulated agents – animates or by physical robots. The traditional agent behaviour is usually initialised by external signals and motivations. On the other side in the nature systems we can observe that behaviour is directly affected by internal motivational sources in the nature systems. Above all, we put emphasis on their co-ordination and mutual co-operation ability by the control of particular robot definition. To realise such type of control, we work with combination of reactive and deliberative methods. This concept of the a...
Autonomous systems are the result of self-sustaining processes of constitution of an identity under ...
This paper gives an overview of the bottom-up approach to artificial intelligence (AI), commonly ref...
The dominant motivational paradigm in embodied AI so far is based on the classical behaviorist appro...
We present a new method, called motivation, for guiding the behavior of deliberative & reactive ...
This paper describes an architecture for controlling autonomous agents, building on previous work ad...
It is becoming widely accepted that neither purely reactive nor purely deliberative control techniqu...
Motivation is a central concept in the development of autonomous agents and robots. This paper descr...
Abstract—Cognitive research shows that emotions guide an organism’s actions and perceptive focus. A ...
This paper presents a new architecture for controlling autonomous robotic agents, building on previo...
Intelligent behavior can be observed from both natural and artificial systems, but still the notion ...
This work describes a behavior-based control architecture for an autonomous mobile robot. The presen...
It is becoming widely accepted that neither purely reactive nor purely deliberative control techniqu...
We present a complete architecture for behavioral control of locomotion for both real and simulated ...
We present a complete architecture for behavioral control of locomotion for both real and simulated ...
Intelligent behavior can be observed from both natural and artificial systems, but still the notion ...
Autonomous systems are the result of self-sustaining processes of constitution of an identity under ...
This paper gives an overview of the bottom-up approach to artificial intelligence (AI), commonly ref...
The dominant motivational paradigm in embodied AI so far is based on the classical behaviorist appro...
We present a new method, called motivation, for guiding the behavior of deliberative & reactive ...
This paper describes an architecture for controlling autonomous agents, building on previous work ad...
It is becoming widely accepted that neither purely reactive nor purely deliberative control techniqu...
Motivation is a central concept in the development of autonomous agents and robots. This paper descr...
Abstract—Cognitive research shows that emotions guide an organism’s actions and perceptive focus. A ...
This paper presents a new architecture for controlling autonomous robotic agents, building on previo...
Intelligent behavior can be observed from both natural and artificial systems, but still the notion ...
This work describes a behavior-based control architecture for an autonomous mobile robot. The presen...
It is becoming widely accepted that neither purely reactive nor purely deliberative control techniqu...
We present a complete architecture for behavioral control of locomotion for both real and simulated ...
We present a complete architecture for behavioral control of locomotion for both real and simulated ...
Intelligent behavior can be observed from both natural and artificial systems, but still the notion ...
Autonomous systems are the result of self-sustaining processes of constitution of an identity under ...
This paper gives an overview of the bottom-up approach to artificial intelligence (AI), commonly ref...
The dominant motivational paradigm in embodied AI so far is based on the classical behaviorist appro...