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Evaluating Visual Conversational Agents via Cooperative Human-AI Games [article]

Prithvijit Chattopadhyay, Deshraj Yadav, Viraj Prabhu, Arjun Chandrasekaran, Abhishek Das, Stefan Lee, Dhruv Batra, Devi Parikh
<span title="2017-08-17">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this work, we design a cooperative game - GuessWhich - to measure human-AI team performance in the specific context of the AI being a visual conversational agent.  ...  As AI continues to advance, human-AI teams are inevitable. However, progress in AI is routinely measured in isolation, without a human in the loop.  ...  Visual conversational agents (Das et al. 2017a; Das et al. 2017b; ) are AI agents Figure 1 : A human and an AI (a visual conversation agent called ALICE) play the proposed GuessWhich game.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1708.05122v1">arXiv:1708.05122v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wuqcfdg6i5aqlcoisldwvvi2oa">fatcat:wuqcfdg6i5aqlcoisldwvvi2oa</a> </span>
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Exploring Data-Driven Components of Socially Intelligent AI through Cooperative Game Paradigms

Casey Bennett, Benjamin Weiss, Jaeyoung Suh, Eunseo Yoon, Jihong Jeong, Yejin Chae
<span title="2022-02-17">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bn3b3ia5mzg4nbdativq7ki3sy" style="color: black;">Multimodal Technologies and Interaction</a> </i> &nbsp;
with humans in multiple languages during cooperative gameplay (in this case, a social survival video game) in context-relevant ways.  ...  To that end, we describe here the development of a cooperative game environment and Social AI using a data-driven approach, which allows us to simultaneously manipulate different components of the social  ...  Such established design aspects affect user experience in terms of perceived cooperativity and appropriateness of the conversational agent [24, 25] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/mti6020016">doi:10.3390/mti6020016</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fkucz326knelrkmdkbs633uaoq">fatcat:fkucz326knelrkmdkbs633uaoq</a> </span>
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Making Conversational Robots Learn from Children in a Collaborative Museum Exhibition

Heloisa Candello, Mauro Pichiliani, Claudio Pinhanez
<span title="2021-10-23">2021</span> <i title="ACM"> Companion Publication of the 2021 Conference on Computer Supported Cooperative Work and Social Computing </i> &nbsp;
conversational robots competing in a quiz game.  ...  As part of the formative design process, 109 children interacted and evaluated the prototype. CCS CONCEPTS • Human-centered computing → Human computer interaction (HCI); Haptic devices.  ...  The other exhibitions had the aim (1) to evaluate the prototype with potential users; and (2) to demonstrate the research in conversational agent systems supporting multi-user scenarios.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3462204.3482888">doi:10.1145/3462204.3482888</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tjnulx5hufexdiulkjrk4mlh24">fatcat:tjnulx5hufexdiulkjrk4mlh24</a> </span>
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Cooperative Multi-Agent Interaction and Evaluation Framework Considering Competitive Networks with Dynamic Topology Changes

Jinbae Kim, Hyunsoo Lee
<span title="2020-08-23">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
The proposed framework contributes to fast training process using multi-agent cooperation.  ...  In this paper, we propose a framework for learning the problems of competitive network topologies, wherein the environment dynamically changes agent, by computing the rewards via the system and via human  ...  When a game agent passes a ball without any intervene, an expert (human) evaluates the pass closed to 1 using the developed system.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app10175828">doi:10.3390/app10175828</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s5zprbasoncn3kuonx6224ghaq">fatcat:s5zprbasoncn3kuonx6224ghaq</a> </span>
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Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning [article]

Abhishek Das, Satwik Kottur, José M. F. Moura, Stefan Lee, Dhruv Batra
<span title="2017-03-21">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Thus, we demonstrate the emergence of grounded language and communication among 'visual' dialog agents with no human supervision.  ...  Specifically, we pose a cooperative 'image guessing' game between two agents -- Qbot and Abot -- who communicate in natural language dialog so that Qbot can select an unseen image from a lineup of images  ...  Introduction The focus of this paper is visually-grounded conversational artificial intelligence (AI).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1703.06585v2">arXiv:1703.06585v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6gmbr5hcgbhurdapclicxci33q">fatcat:6gmbr5hcgbhurdapclicxci33q</a> </span>
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Extending an Educational Math Game with a Pedagogical Conversational Agent: Facing Design Challenges [chapter]

Björn Sjödén, Annika Silvervarg, Magnus Haake, Agneta Gulz
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jyopc6cf5ze5vipjlm4aztcffi" style="color: black;">Communications in Computer and Information Science</a> </i> &nbsp;
We describe our work-in-progress of developing an educational game in mathematics for 12-14 year olds, by adding social and conversational abilities to an existing "teachable agent" (TA) in the game.  ...  and conversational module.  ...  Fig. 2 depicts the development from the first rudiment of an agent via two iterations, involving students of the relevant age group. Conversational abilities of the pedagogical agent.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-20074-8_10">doi:10.1007/978-3-642-20074-8_10</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nriaj64vjbhtzf24s4gpymaufa">fatcat:nriaj64vjbhtzf24s4gpymaufa</a> </span>
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Emergent Multi-Agent Communication in the Deep Learning Era [article]

Angeliki Lazaridou, Marco Baroni
<span title="2020-07-14">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The ability to cooperate through language is a defining feature of humans.  ...  From a scientific perspective, understanding the conditions under which language evolves in communities of deep agents and its emergent features can shed light on human language evolution.  ...  Machines Cooperating with Humans One of the most ambitious goals of AI is to develop intelligent agents able to interact with humans.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.02419v2">arXiv:2006.02419v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rk7rmdewdfcxrgj4llrqww7cpi">fatcat:rk7rmdewdfcxrgj4llrqww7cpi</a> </span>
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Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents [article]

Ye Zhu, Yu Wu, Yi Yang, Yan Yan
<span title="2020-08-22">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
To this end, in this paper, we introduce a new task called video description via two multi-modal cooperative dialog agents, whose ultimate goal is for one conversational agent to describe an unseen video  ...  With the arising concerns for the AI systems provided with direct access to abundant sensitive information, researchers seek to develop more reliable AI with implicit information sources.  ...  This article solely reflects the opinions and conclusions of its authors and not the funding agents. Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2008.07935v2">arXiv:2008.07935v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2vbawks4znaztdvw5piginms4u">fatcat:2vbawks4znaztdvw5piginms4u</a> </span>
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Connecting Language and Vision to Actions

Peter Anderson, Abhishek Das, Qi Wu
<span title="">2018</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5n6volmnonf5tn6xputi5f2t3e" style="color: black;">Proceedings of ACL 2018, Tutorial Abstracts</a> </i> &nbsp;
A long-term goal of AI research is to build intelligent agents that can see the rich visual environment around us, communicate this understanding in natural language to humans and other agents, and act  ...  about visual content!  ...  Within visual dia-log, we will look at recent work that uses cooperative multi-agent tasks as a proxy for training effective visual conversational models via RL (Kottur et al., 2017; Das et al., 2017b  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/p18-5004">doi:10.18653/v1/p18-5004</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/acl/AndersonDW18.html">dblp:conf/acl/AndersonDW18</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ilrvhjobwrhcdf3iftjbeunbmq">fatcat:ilrvhjobwrhcdf3iftjbeunbmq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200508202639/https://www.aclweb.org/anthology/P18-5004.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3f/1d/3f1db6565b605ed39aa0bec51ba90850a9fb7d69.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/p18-5004"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Multi-Agent Cooperation and the Emergence of (Natural) Language [article]

Angeliki Lazaridou, Alexander Peysakhovich, Marco Baroni
<span title="2017-03-05">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This passive learning is problematic if we are interested in developing interactive machines, such as conversational agents.  ...  We propose a framework for language learning that relies on multi-agent communication. We study this learning in the context of referential games.  ...  Ted Chiang, Story of Your Life One of the main aims of AI is to develop agents that can cooperate with others to achieve goals (Wooldridge, 2009) . Such coordination requires communication.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1612.07182v2">arXiv:1612.07182v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bkdly2hhojdghjw2kjh5njyhuu">fatcat:bkdly2hhojdghjw2kjh5njyhuu</a> </span>
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A Grounded Interaction Protocol for Explainable Artificial Intelligence [article]

Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere
<span title="2019-03-05">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Our results show that the proposed model can closely follow the explanation dialogues of human-agent conversations.  ...  We formalize the model using the agent dialogue framework (ADF) as a new dialogue type and then evaluate it in a human-agent interaction study with 101 dialogues from 14 participants.  ...  An appropriate explanation can promote trust in the system, allowing better human-AI cooperation [30] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1903.02409v1">arXiv:1903.02409v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7suvnn24tbbxppxbmtjv5rtfbq">fatcat:7suvnn24tbbxppxbmtjv5rtfbq</a> </span>
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Artificial Intelligence for the Metaverse: A Survey [article]

Thien Huynh-The and Quoc-Viet Pham and Xuan-Qui Pham and Thanh Thi Nguyen and Zhu Han and Dong-Seong Kim
<span title="2022-02-15">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Among such technologies, AI has shown the great importance of processing big data to enhance immersive experience and enable human-like intelligence of virtual agents.  ...  Subsequently, several AI-aided applications, such as healthcare, manufacturing, smart cities, and gaming, are studied to be deployed in the virtual worlds.  ...  platforms AI-assisted game store telling Procedural content creation Tactical planning for AI agent Immersive gamming experience evaluation AI-aided gaming developing optimization Realistic player-NPC  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2202.10336v1">arXiv:2202.10336v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/35isd745dbaqfnpzthnmbaosue">fatcat:35isd745dbaqfnpzthnmbaosue</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220226213947/https://arxiv.org/pdf/2202.10336v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/96/a3/96a35bb48ef7c603ffc6c1e8119bca550fa85dfa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2202.10336v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A Survey of Planning and Learning in Games

Fernando Fradique Duarte, Nuno Lau, Artur Pereira, Luis Paulo Reis
<span title="2020-06-30">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/smrngspzhzce7dy6ofycrfxbim" style="color: black;">Applied Sciences</a> </i> &nbsp;
level of a human master and even at a human world champion level.  ...  In general, games pose interesting and complex problems for the implementation of intelligent agents and are a popular domain in the study of artificial intelligence.  ...  Other applications of EAs include deriving adaptive game AI characters [46, 47] , cooperative character behavior [49] and human-like behavior [6] , evolving multi-agent languages [91] , automating  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app10134529">doi:10.3390/app10134529</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wc27eo2wmvd6lclar7yteyj6cm">fatcat:wc27eo2wmvd6lclar7yteyj6cm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200721152205/https://res.mdpi.com/d_attachment/applsci/applsci-10-04529/article_deploy/applsci-10-04529-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ed/69/ed692d066f805f2aed0898ce477d8b59410908c7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/app10134529"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

ViZDoom Competitions: Playing Doom from Pixels [article]

Marek Wydmuch, Michał Kempka, Wojciech Jaśkowski
<span title="2018-09-10">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper presents the first two editions of Visual Doom AI Competition, held in 2016 and 2017.  ...  These aspects, together with the competitive multi-agent aspect of the game, make the competition a unique platform for evaluating the state of the art reinforcement learning algorithms.  ...  Therefore, the AI for FPS games using the raw visual input is yet to be solved and we predict that the Visual Doom AI competition will remain a difficult challenge in the nearest future.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1809.03470v1">arXiv:1809.03470v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/swaa4qym4fagllaoxs3lows6fi">fatcat:swaa4qym4fagllaoxs3lows6fi</a> </span>
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NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment [article]

Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun (+3 others)
<span title="2021-10-15">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Another important aspect of the challenge is the dedication to perform a human-in-the-loop evaluation as a final evaluation for the agents developed by contestants.  ...  Therefore, the suggested challenge can bring two communities together to approach one of the important challenges in AI.  ...  ., Situated Interactive Multi-Modal Conversational Data Collection And Evaluation Platform (SIMMC) [Crook et al., 2019] or Audio Visual Scene-Aware Dialog Track in DSTC8 [Hori et al., 2018].  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2110.06536v2">arXiv:2110.06536v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jyyjlgbmpbdtjf6ctqssl2xpf4">fatcat:jyyjlgbmpbdtjf6ctqssl2xpf4</a> </span>
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