| 1 |
Cross-Situational Learning Towards Robot Grounding
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Cross-Situational Learning Towards Robot Grounding
|
|
|
|
In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Why, What and How to help each Citizen to Understand Artificial Intelligence?
|
|
|
|
In: EISSN: 0933-1875 ; KI - Künstliche Intelligenz ; https://hal.inria.fr/hal-03024034 ; KI - Künstliche Intelligenz, Springer Nature, 2021, pp.1610-1987 (2021)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Formalizing Problem Solving in Computational Thinking : an Ontology approach
|
|
|
|
In: IEEE ICDL 2021 – International Conference on Development and Learning 2021 ; https://hal.inria.fr/hal-03324136 ; IEEE ICDL 2021 – International Conference on Development and Learning 2021, Aug 2021, Beijing, China (2021)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
|
|
|
|
In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
|
|
|
|
In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
|
|
|
|
In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Learning to Parse Sentences with Cross-Situational Learning using Different Word Embeddings Towards Robot Grounding ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Cognitive Architecture and Software Environment for the Design and Experimentation of Survival Behaviors in Artificial Agents
|
|
|
|
In: IJCCI 2018 - 10th International Joint Conference on Computational Intelligence ; https://hal.inria.fr/hal-01931497 ; IJCCI 2018 - 10th International Joint Conference on Computational Intelligence, Sep 2018, Seville, Spain (2018)
|
|
Abstract:
International audience ; We discuss here the characteristics of a software environment appropriate for the development of a bio-inspired cognitive architecture, which can emulate the behavior of autonomous intelligent agents. First, it is reminded that, while the focus is often set on the more abstract aspects of cognitive abilities, studying the fundamental bases of intelligence that allow for autonomy is a prerequisite for well defined intelligent systems. Secondly, we highlight functional loops associating cerebral structures including the basal ganglia in the brain of most species along the evolution. They are dedicated to the organization of behavior under the constraint of reinforcement , corresponding in their simplest expression to the selection of action for survival. Lastly, concerning the simulation of such models, we describe a software environment to study such relations in a more controlled way than hardware implementations, by adapting a platform built on the top of a video game for the development of classical artificial intelligence models. We explain here how our neuronal model exhibits bodily and internal characteristics necessary for survival tasks and how these characteristics are plugged in the simulation platform. Some scenarios of survival are reported as an illustration of this environment.
|
|
Keyword:
[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; Cerebral Systems; Cognitive Architecture; Survival
|
|
URL: https://hal.inria.fr/hal-01931497
https://hal.inria.fr/hal-01931497/file/IJCCI_2018_12_CR.pdf
https://hal.inria.fr/hal-01931497/document
|
|
BASE
|
|
Hide details
|
|
|
| 10 |
Terres neuves agricoles, terres d'élevage en sursis » : trajectoires actuelles et recomposition des espaces agropastoraux dans le Sud- Ouest nigérien
|
|
|
|
In: 5ème Rencontres des études africaines en France ; https://hal.archives-ouvertes.fr/hal-02421705 ; 5ème Rencontres des études africaines en France, Jul 2018, Marseille, France (2018)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Dynamique des ressources pastorales, perception des changements et stratégies d’adaptation des agropasteurs sahéliens : exemple de la commune de Hombori (Mali).
|
|
|
|
In: 3ème conférence internationale AMMA-France ; https://hal.archives-ouvertes.fr/hal-02421770 ; 3ème conférence internationale AMMA-France, Nov 2010, Toulouse, France (2010)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Spatio-Temporal and Complex-Valued Models based on SOM map applied to Speech Recognition
|
|
|
|
In: Twentieth International Joint Conference on Artificial Intelligence - IJCAI'2007 ; https://hal.inria.fr/inria-00118122 ; Twentieth International Joint Conference on Artificial Intelligence - IJCAI'2007, Jan 2007, Hyderabad, India (2007)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Spatio-temporal biologically inspired models for clean and noisy speech recognition
|
|
|
|
In: ISSN: 0925-2312 ; Neurocomputing ; https://hal.inria.fr/inria-00186512 ; Neurocomputing, Elsevier, 2007, 71 (1-3), pp.131--136. ⟨10.1016/j.neucom.2007.08.009⟩ (2007)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations
|
|
|
|
In: Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience ; https://hal.inria.fr/inria-00000634 ; Stefan Wermter and Günther Palm and Mark Elshaw. Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience, 3575 (3575), Springer-Verlag, pp.144--161, 2005, Lecture Notes in Artificial Intelligence, 3-540-27440-5. ⟨10.1007/b139051⟩ (2005)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Multi-criteria self-organization: Example of motor-dependent phonetic representation for a multi-modal robot
|
|
|
|
In: Neurobotics Workshop of the 27th german conference on Artificial Intelligence ; https://hal.inria.fr/inria-00099901 ; Neurobotics Workshop of the 27th german conference on Artificial Intelligence, Sep 2004, Ulm, Germany, 12 p (2004)
|
|
BASE
|
|
Show details
|
|
|
|
|
