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This list is automatically created, please see publications by year in order to have a more chronological overview on my publications. Note that the list on this page is automatically generated and as such always overlapping due to overlapping keywords.
Reinforcement Learning
| Record Number | 2832 |
| Reference Type | Journal Article |
| Author(s) | Jansen, B.;Belpaeme, T. |
| Year | 2006 |
| Title | A computational model of intention reading in imitation |
| Journal/Conference/Book Title | ROBOTICS AND AUTONOMOUS SYSTEMS |
| Keywords | imitation imitation on robots goal-directed imitation intention |
| Abstract | Imitation in artificial systems involves a number of important aspects, such as extracting the relevant features of the demonstrated behaviour, inverse mapping observations, and executing motor commands. In this article we focus on how an artificial system can infer what the demonstrator intended to do. The model that we propose draws inspiration from developmental psychology and contains three crucial features. One is that the imitating agent needs repeated trials, thus stepping away from the one-shot learning by demonstration paradigm. The second is that the imitating agent needs a learning method in which it keeps track of intentions to reach goals. The third feature is that the model does not require an external measure of equivalence; instead, the demonstrator decides whether an attempted imitation was equivalent to the demonstration or not. We present a computational model and its simulation results, which underpin our theory of goal-directed imitation on an artificial system. (c) 2006 Elsevier B.V. All rights reserved. |
| Notes | 045WX 0921-8890 B Jansen, Vrije Univ Brussels, AI Lab, Pleinlaan 2, B-1050 Brussels, Belgium Article English ROBOT AUTON SYST source_abbrev_20 |
| Place Published | AMSTERDAM |
| Publisher | ELSEVIER SCIENCE BV |
| Volume | 54 |
| Number | 5 |
| Pages | 394-402 |
| Date | 05/31/ |
| Short Title | A computational model of intention reading in imitation |
Control
| Record Number | 2832 |
| Reference Type | Journal Article |
| Author(s) | Jansen, B.;Belpaeme, T. |
| Year | 2006 |
| Title | A computational model of intention reading in imitation |
| Journal/Conference/Book Title | ROBOTICS AND AUTONOMOUS SYSTEMS |
| Keywords | imitation imitation on robots goal-directed imitation intention |
| Abstract | Imitation in artificial systems involves a number of important aspects, such as extracting the relevant features of the demonstrated behaviour, inverse mapping observations, and executing motor commands. In this article we focus on how an artificial system can infer what the demonstrator intended to do. The model that we propose draws inspiration from developmental psychology and contains three crucial features. One is that the imitating agent needs repeated trials, thus stepping away from the one-shot learning by demonstration paradigm. The second is that the imitating agent needs a learning method in which it keeps track of intentions to reach goals. The third feature is that the model does not require an external measure of equivalence; instead, the demonstrator decides whether an attempted imitation was equivalent to the demonstration or not. We present a computational model and its simulation results, which underpin our theory of goal-directed imitation on an artificial system. (c) 2006 Elsevier B.V. All rights reserved. |
| Notes | 045WX 0921-8890 B Jansen, Vrije Univ Brussels, AI Lab, Pleinlaan 2, B-1050 Brussels, Belgium Article English ROBOT AUTON SYST source_abbrev_20 |
| Place Published | AMSTERDAM |
| Publisher | ELSEVIER SCIENCE BV |
| Volume | 54 |
| Number | 5 |
| Pages | 394-402 |
| Date | 05/31/ |
| Short Title | A computational model of intention reading in imitation |
Learning Motor Primitives
| Record Number | 2832 |
| Reference Type | Journal Article |
| Author(s) | Jansen, B.;Belpaeme, T. |
| Year | 2006 |
| Title | A computational model of intention reading in imitation |
| Journal/Conference/Book Title | ROBOTICS AND AUTONOMOUS SYSTEMS |
| Keywords | imitation imitation on robots goal-directed imitation intention |
| Abstract | Imitation in artificial systems involves a number of important aspects, such as extracting the relevant features of the demonstrated behaviour, inverse mapping observations, and executing motor commands. In this article we focus on how an artificial system can infer what the demonstrator intended to do. The model that we propose draws inspiration from developmental psychology and contains three crucial features. One is that the imitating agent needs repeated trials, thus stepping away from the one-shot learning by demonstration paradigm. The second is that the imitating agent needs a learning method in which it keeps track of intentions to reach goals. The third feature is that the model does not require an external measure of equivalence; instead, the demonstrator decides whether an attempted imitation was equivalent to the demonstration or not. We present a computational model and its simulation results, which underpin our theory of goal-directed imitation on an artificial system. (c) 2006 Elsevier B.V. All rights reserved. |
| Notes | 045WX 0921-8890 B Jansen, Vrije Univ Brussels, AI Lab, Pleinlaan 2, B-1050 Brussels, Belgium Article English ROBOT AUTON SYST source_abbrev_20 |
| Place Published | AMSTERDAM |
| Publisher | ELSEVIER SCIENCE BV |
| Volume | 54 |
| Number | 5 |
| Pages | 394-402 |
| Date | 05/31/ |
| Short Title | A computational model of intention reading in imitation |
Robotics
| Record Number | 2832 |
| Reference Type | Journal Article |
| Author(s) | Jansen, B.;Belpaeme, T. |
| Year | 2006 |
| Title | A computational model of intention reading in imitation |
| Journal/Conference/Book Title | ROBOTICS AND AUTONOMOUS SYSTEMS |
| Keywords | imitation imitation on robots goal-directed imitation intention |
| Abstract | Imitation in artificial systems involves a number of important aspects, such as extracting the relevant features of the demonstrated behaviour, inverse mapping observations, and executing motor commands. In this article we focus on how an artificial system can infer what the demonstrator intended to do. The model that we propose draws inspiration from developmental psychology and contains three crucial features. One is that the imitating agent needs repeated trials, thus stepping away from the one-shot learning by demonstration paradigm. The second is that the imitating agent needs a learning method in which it keeps track of intentions to reach goals. The third feature is that the model does not require an external measure of equivalence; instead, the demonstrator decides whether an attempted imitation was equivalent to the demonstration or not. We present a computational model and its simulation results, which underpin our theory of goal-directed imitation on an artificial system. (c) 2006 Elsevier B.V. All rights reserved. |
| Notes | 045WX 0921-8890 B Jansen, Vrije Univ Brussels, AI Lab, Pleinlaan 2, B-1050 Brussels, Belgium Article English ROBOT AUTON SYST source_abbrev_20 |
| Place Published | AMSTERDAM |
| Publisher | ELSEVIER SCIENCE BV |
| Volume | 54 |
| Number | 5 |
| Pages | 394-402 |
| Date | 05/31/ |
| Short Title | A computational model of intention reading in imitation |
Human Motor Control
| Record Number | 2832 |
| Reference Type | Journal Article |
| Author(s) | Jansen, B.;Belpaeme, T. |
| Year | 2006 |
| Title | A computational model of intention reading in imitation |
| Journal/Conference/Book Title | ROBOTICS AND AUTONOMOUS SYSTEMS |
| Keywords | imitation imitation on robots goal-directed imitation intention |
| Abstract | Imitation in artificial systems involves a number of important aspects, such as extracting the relevant features of the demonstrated behaviour, inverse mapping observations, and executing motor commands. In this article we focus on how an artificial system can infer what the demonstrator intended to do. The model that we propose draws inspiration from developmental psychology and contains three crucial features. One is that the imitating agent needs repeated trials, thus stepping away from the one-shot learning by demonstration paradigm. The second is that the imitating agent needs a learning method in which it keeps track of intentions to reach goals. The third feature is that the model does not require an external measure of equivalence; instead, the demonstrator decides whether an attempted imitation was equivalent to the demonstration or not. We present a computational model and its simulation results, which underpin our theory of goal-directed imitation on an artificial system. (c) 2006 Elsevier B.V. All rights reserved. |
| Notes | 045WX 0921-8890 B Jansen, Vrije Univ Brussels, AI Lab, Pleinlaan 2, B-1050 Brussels, Belgium Article English ROBOT AUTON SYST source_abbrev_20 |
| Place Published | AMSTERDAM |
| Publisher | ELSEVIER SCIENCE BV |
| Volume | 54 |
| Number | 5 |
| Pages | 394-402 |
| Date | 05/31/ |
| Short Title | A computational model of intention reading in imitation |
Book Reviews
| Record Number | 2832 |
| Reference Type | Journal Article |
| Author(s) | Jansen, B.;Belpaeme, T. |
| Year | 2006 |
| Title | A computational model of intention reading in imitation |
| Journal/Conference/Book Title | ROBOTICS AND AUTONOMOUS SYSTEMS |
| Keywords | imitation imitation on robots goal-directed imitation intention |
| Abstract | Imitation in artificial systems involves a number of important aspects, such as extracting the relevant features of the demonstrated behaviour, inverse mapping observations, and executing motor commands. In this article we focus on how an artificial system can infer what the demonstrator intended to do. The model that we propose draws inspiration from developmental psychology and contains three crucial features. One is that the imitating agent needs repeated trials, thus stepping away from the one-shot learning by demonstration paradigm. The second is that the imitating agent needs a learning method in which it keeps track of intentions to reach goals. The third feature is that the model does not require an external measure of equivalence; instead, the demonstrator decides whether an attempted imitation was equivalent to the demonstration or not. We present a computational model and its simulation results, which underpin our theory of goal-directed imitation on an artificial system. (c) 2006 Elsevier B.V. All rights reserved. |
| Notes | 045WX 0921-8890 B Jansen, Vrije Univ Brussels, AI Lab, Pleinlaan 2, B-1050 Brussels, Belgium Article English ROBOT AUTON SYST source_abbrev_20 |
| Place Published | AMSTERDAM |
| Publisher | ELSEVIER SCIENCE BV |
| Volume | 54 |
| Number | 5 |
| Pages | 394-402 |
| Date | 05/31/ |
| Short Title | A computational model of intention reading in imitation |
The majority of the publications can also be obtained by Google Scholar where incomplete lists of citations are also given.