The paper discusses the use of internal models for autonomous agents. It proposes to use analogical instead of symbolic representations and to annotate these representations dynamically with markers and structures that emerge by the parallel local activity of simple computational agents. Two experiments illustrate the ideas of the paper: one in hand-eye coordination and one in the acquisition of a world map by a wandering mobile robot.Peer Reviewe
This paper presents a method for observational learning in autonomous agents. A formalism based on d...
Abstract. Understanding the role (if any) that the concept of `representation ' might play in c...
A problem of action selection emerges in complex — and even not so complex — interactive agents: Wha...
The topic of this paper is a representation model for solid objects used for physical simulation pur...
When dealing with autonomous robots, the definition of the term "autonomy" is important. A...
An architecture for autonomous agents is proposed that integrates the functional and the behavioral ...
textHow can an agent bootstrap up from a pixel-level representation to autonomously learn high-level...
An autonomous robot involved in long and complex missions should be able to generate, update and pro...
The thesis addresses the problem of creating an autonomous agent that is able to learn about and use...
How can an agent bootstrap up from a pixel-level representation to autonomously learn high-level sta...
An architecture for autonomous agents is proposed, that integrates the functional and the behavioral...
iAbstract The making of analogies is a powerful and potentially creative process that is both subtle...
This paper explores and reasons about the interplay between symbolic and continuous representations....
This paper discusses advantages of dynamical systems approach for the robots to attain intrinsic des...
We present a cognitive architecture whose main constituents are allowed to grow through a situated e...
This paper presents a method for observational learning in autonomous agents. A formalism based on d...
Abstract. Understanding the role (if any) that the concept of `representation ' might play in c...
A problem of action selection emerges in complex — and even not so complex — interactive agents: Wha...
The topic of this paper is a representation model for solid objects used for physical simulation pur...
When dealing with autonomous robots, the definition of the term "autonomy" is important. A...
An architecture for autonomous agents is proposed that integrates the functional and the behavioral ...
textHow can an agent bootstrap up from a pixel-level representation to autonomously learn high-level...
An autonomous robot involved in long and complex missions should be able to generate, update and pro...
The thesis addresses the problem of creating an autonomous agent that is able to learn about and use...
How can an agent bootstrap up from a pixel-level representation to autonomously learn high-level sta...
An architecture for autonomous agents is proposed, that integrates the functional and the behavioral...
iAbstract The making of analogies is a powerful and potentially creative process that is both subtle...
This paper explores and reasons about the interplay between symbolic and continuous representations....
This paper discusses advantages of dynamical systems approach for the robots to attain intrinsic des...
We present a cognitive architecture whose main constituents are allowed to grow through a situated e...
This paper presents a method for observational learning in autonomous agents. A formalism based on d...
Abstract. Understanding the role (if any) that the concept of `representation ' might play in c...
A problem of action selection emerges in complex — and even not so complex — interactive agents: Wha...