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Rank Aggregation by Dissatisfaction Minimisation in the Unavailable Candidate Model
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In: Proceedings of AAMAS 2021 ; 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) ; https://hal.sorbonne-universite.fr/hal-03142810 ; 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), May 2021, Online, United Kingdom. pp.1518-1520, ⟨10.5555/3463952.3464145⟩ (2021)
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Privacy-Preserving Prediction of Victim's Mortality and Their Need for Transportation to Health Facilities
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In: IEEE Transactions on Industrial Informatics ; https://hal.archives-ouvertes.fr/hal-03456142 ; IEEE Transactions on Industrial Informatics, 2021, 14 (30), pp.1 (2021)
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Social influences on consumption choices in university catering: a multi-agent modelling approach using GAMA
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In: 1st conference GAMA Days 2021 ; https://hal-univ-tlse3.archives-ouvertes.fr/hal-03523652 ; 1st conference GAMA Days 2021, Frédéric Amblard; Kevin Chapuis; Alexis Drogoul; Benoit Gaudou; Dominique Longin; Nicolas Verstaevel, Jun 2021, Toulouse (Online), France ; https://www.irit.fr/GamaDays2021/ (2021)
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Sentiment Analysis of Arabic Documents
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In: Natural Language Processing for Global and Local Business ; https://hal.archives-ouvertes.fr/hal-03124729 ; Fatih Pinarbasi; M. Nurdan Taskiran. Natural Language Processing for Global and Local Business, pp.307-331, 2021, 9781799842408. ⟨10.4018/978-1-7998-4240-8.ch013⟩ ; https://www.igi-global.com/ (2021)
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Combining Bandits and Lexical Analysis for Document Retrieval in a Juridical Corpora
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In: Artificial Intelligence XXXVII 40th SGAI International Conference on Artificial Intelligence, AI 2020, Cambridge, UK, December 15–17, 2020, Proceedings ; https://hal.archives-ouvertes.fr/hal-03108194 ; Artificial Intelligence XXXVII 40th SGAI International Conference on Artificial Intelligence, AI 2020, Cambridge, UK, December 15–17, 2020, Proceedings, 12498, pp.317-330, 2020, Lecture Notes in Computer Science book series (LNCS), ⟨10.1007/978-3-030-63799-6_24⟩ ; https://link.springer.com/chapter/10.1007%2F978-3-030-63799-6_24 (2020)
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"LazImpa": Lazy and Impatient neural agents learn to communicate efficiently
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In: CONLL 2020 - The SIGNLL Conference on Computational Natural Language Learning ; https://hal.archives-ouvertes.fr/hal-03070404 ; CONLL 2020 - The SIGNLL Conference on Computational Natural Language Learning, Nov 2020, Virtual, France (2020)
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An Enhanced Corpus for Arabic Newspapers Comments
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In: ISSN: 1683-3198 ; International Arab Journal of Information Technology ; https://hal.archives-ouvertes.fr/hal-03124728 ; International Arab Journal of Information Technology, Colleges of Computing and Information Society (CCIS), 2020, 17 (5), pp.789-798. ⟨10.34028/iajit/17/5/12⟩ (2020)
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Semantic Flexibility and Grounded Language Learning
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In: Proceedings AISB 2019 ; 2019 AISB Convention : Workshop on Language Learning for Artificial Agents ; https://hal.archives-ouvertes.fr/hal-02268932 ; 2019 AISB Convention : Workshop on Language Learning for Artificial Agents, Apr 2019, Falmouth, United Kingdom (2019)
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Anti-efficient encoding in emergent communication
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In: https://hal.archives-ouvertes.fr/hal-02274205 ; 2019 (2019)
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Méthodes et interdisciplinarité
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In: https://hal.archives-ouvertes.fr/hal-02138632 ; 1, ISTE Editions, pp.164, 2019, Sciences, société et nouvelles technologies, 9781784055813 (2019)
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| 11 |
Avant-propos
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In: Méthodes et interdisciplinarité ; https://hal.archives-ouvertes.fr/hal-02257828 ; Méthodes et interdisciplinarité, pp.1 - 9, 2019, Méthodologies de modélisation en sciences sociales européenne, 9781784055813 (2019)
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Complexity Reduction in the Negotiation of New Lexical Conventions
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In: 40th Annual Conference of the Cognitive Science Society (CogSci 2018) ; https://hal.inria.fr/hal-01891762 ; 40th Annual Conference of the Cognitive Science Society (CogSci 2018), Jul 2018, Madison, WI, United States (2018)
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A Complexity Approach for Core-Selecting Exchange under Conditionally Lexicographic Preferences
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In: ISSN: 1076-9757 ; Journal of Artificial Intelligence Research ; https://hal.archives-ouvertes.fr/hal-02093196 ; Journal of Artificial Intelligence Research, Association for the Advancement of Artificial Intelligence, 2018, 63, pp.515-555. ⟨10.1613/jair.1.11254⟩ (2018)
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| 14 |
Active control of complexity growth in Language Games ; Contrôle actif de la croissance de la complexité dans les Language Games
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In: https://tel.archives-ouvertes.fr/tel-01966815 ; Multiagent Systems [cs.MA]. Université de Bordeaux, 2018. English. ⟨NNT : 2018BORD0382⟩ (2018)
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| 15 |
Mining a Multimodal Corpus of Doctor's Training for Virtual Patient's Feedbacks
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In: 19th International Conference on Multimodal Interaction (ICMI) ; https://hal.archives-ouvertes.fr/hal-01654812 ; 19th International Conference on Multimodal Interaction (ICMI), Nov 2017, Glasgow, United Kingdom. ⟨10.1145/3136755.3136816⟩ (2017)
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| 16 |
Cadre Déclaratif Modulaire pour Représenter et Appliquer des Principes Éthiques
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In: Journées d'Intelligence Artificielle Fondamentale ; https://hal.sorbonne-universite.fr/hal-01564673 ; Journées d'Intelligence Artificielle Fondamentale, Jul 2017, Caen, France (2017)
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An empirical evaluation of argumentation in explaining inconsistency tolerant query answering
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In: 30th International Workshop on Description Logics ; DL: Description Logics ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01586155 ; DL: Description Logics, Jul 2017, Montpellier, France ; https://project.inria.fr/dl2017/ (2017)
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| 18 |
Active Control of Complexity Growth in Naming Games: Hearer's Choice
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In: EVOLANG 2016 - Proceedings for the 11th International Conference on the Evolution of Language ; EVOLANG 2016 ; https://hal.inria.fr/hal-01333032 ; EVOLANG 2016, Mar 2016, New Orleans, United States ; http://evolang.org/neworleans (2016)
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| 19 |
Scaling the impact of active topic choice in the Naming Game
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In: ICDL-Epirob 2016, Workshop on Language Learning ; https://hal.inria.fr/hal-01388606 ; ICDL-Epirob 2016, Workshop on Language Learning, Sep 2016, Cergy-Pontoise, France (2016)
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Abstract:
International audience ; How does language emerge, evolve and gets transmitted between individuals? What mechanisms underly the formation and evolution of linguistic conventions, and what are their dynamics? Computational linguistic studies have shown that local interactions within groups of individuals (e.g. humans or robots) can lead to self-organization of lexica associating semantic categories to words [13]. However, it still doesn't scale well to complex meaning spaces and a large number of possible word-meaning associations (or lexical conventions), suggesting high competition among those conventions. In statistical machine learning and in developmental sciences, it has been argued that an active control of the complexity of learning situations can have a significant impact on the global dynamics of the learning process [2, 4, 3]. This approach has been mostly studied for single robotic agents learning sensorimotor affordances [6, 5]. However active learning might represent an evolutionary advantage for language formation at the population level as well [8, 12]. Naming Games are a computational framework, elaborated to simulate the self-organization of lexical conventions in the form of a multi-agent model [11]. Through repeated local interactions between random couples of agents (designated speaker and hearer), shared conventions emerge. Interactions consist of uttering a word – or an abstract signal – referring to a topic, and evaluating the success or failure of communication. However, in existing works processes involved in these interactions are typically random choices, especially the choice of a communication topic. The introduction of active learning algorithms in these models produces significant improvement of the convergence process towards a shared vocabulary, with the speaker [7, 9, 1] or the hearer [10] actively controlling vocabulary growth. We study here how the convergence time and the maximum level of complexity scale with population size, for three different strategies (one with random topic choice and two with active topic choice) detailed in table 1. Both active strategies use a parameter (α and n), which is each time chosen optimal in our simulations. As for the version of the Naming Game used in our work, the scenario of the interaction is described in [10]. Vocabulary is updated as described in the Minimal Naming Game, detailed in [14]. In our simulations, we choose to set N = M = W , where N is the population size, M the number of meanings, and W the number of possible words. The computed theoretical success ratio of communication is used to represent the degree of convergence toward a shared lexicon for the whole population. A value of 1 means that the population reached full convergence. Complexity level of an individual lexicon is measured as the total number of distinct associations between meanings and words in the lexicon, or in other words: memory usage. We show here (see figures 2,3) that convergence time and maximum complexity are reduced with active topic choice, a behavior that is amplified as larger populations are considered. The minimal counts strategy yields a strictly minimum complexity (equal to the complexity of a completed lexicon), while converging as fast as the success threshold strategy. Further work will deal with other variants of the Naming Game (with different vocabulary update, population replacement, and different ratio for N , M and W). For the moment only the hearer's choice scenario is studied, because of its high robustness to changes in parameter values for the different strategies [10].
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Keyword:
[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]; [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]; [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
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URL: https://hal.inria.fr/hal-01388606/file/abstract.pdf
https://hal.inria.fr/hal-01388606
https://hal.inria.fr/hal-01388606/document
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COSMO (“Communicating about Objects using Sensory–Motor Operations”): A Bayesian modeling framework for studying speech communication and the emergence of phonological systems
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In: ISSN: 0095-4470 ; EISSN: 1095-8576 ; Journal of Phonetics ; https://hal.archives-ouvertes.fr/hal-01230175 ; Journal of Phonetics, Elsevier, 2015, 53, pp.5-41. ⟨10.1016/j.wocn.2015.06.001⟩ ; http://www.sciencedirect.com/science/article/pii/S0095447015000352 (2015)
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