AbstractUsing the language of dynamical systems theory, a general theoretical framework for the synthesis and analysis of autonomous agents is sketched. In this framework, an agent and its environment are modeled as two coupled dynamical systems whose mutual interaction is in general jointly responsible for the agent's behavior. In addition, the adaptive fit between an agent and its environment is characterized in terms of the satisfaction of a given constraint on the trajectories of the coupled agent-environment system. The utility of this framework is demonstrated by using it to first synthesize and then analyze a walking behavior for a legged agent
This article introduces concepts of dynamical systems theory such as phase space, phase space recon...
This article examines the status of dynamical models of movement coordination qua phenomenological m...
Agent-based simulation methods are a relatively new way to address complex systems. Usually, the ide...
AbstractUsing the language of dynamical systems theory, a general theoretical framework for the synt...
Recently architects have been inspired by Thompsonis Cartesian deformations and Waddingtonis flexibl...
How might one account for the organization in behavior without attributing it to an internal control...
How might one account for the organization in behavior without attributing it to an internal control...
A situated agent is not only embedded within its environmental system, but forms an integral and ac...
Introduction Autonomous mobile robots for human environments must cope with the main problems that a...
A new abstract model of interaction between agents and environments is introduced. It can be used as...
The environments in which agents are used often may be described by dynamical models, e.g., in the f...
This paper gives an overview of the bottom-up approach to artificial intelligence (AI), commonly ref...
It is becoming widely accepted that neither purely reactive nor purely deliberative control techniqu...
. This paper presents a new architecture for controlling autonomous agents in dynamic multi-agent wo...
This paper presents a new architecture for controlling autonomous agents in dynamic multi-agent worl...
This article introduces concepts of dynamical systems theory such as phase space, phase space recon...
This article examines the status of dynamical models of movement coordination qua phenomenological m...
Agent-based simulation methods are a relatively new way to address complex systems. Usually, the ide...
AbstractUsing the language of dynamical systems theory, a general theoretical framework for the synt...
Recently architects have been inspired by Thompsonis Cartesian deformations and Waddingtonis flexibl...
How might one account for the organization in behavior without attributing it to an internal control...
How might one account for the organization in behavior without attributing it to an internal control...
A situated agent is not only embedded within its environmental system, but forms an integral and ac...
Introduction Autonomous mobile robots for human environments must cope with the main problems that a...
A new abstract model of interaction between agents and environments is introduced. It can be used as...
The environments in which agents are used often may be described by dynamical models, e.g., in the f...
This paper gives an overview of the bottom-up approach to artificial intelligence (AI), commonly ref...
It is becoming widely accepted that neither purely reactive nor purely deliberative control techniqu...
. This paper presents a new architecture for controlling autonomous agents in dynamic multi-agent wo...
This paper presents a new architecture for controlling autonomous agents in dynamic multi-agent worl...
This article introduces concepts of dynamical systems theory such as phase space, phase space recon...
This article examines the status of dynamical models of movement coordination qua phenomenological m...
Agent-based simulation methods are a relatively new way to address complex systems. Usually, the ide...