{"title":"Playing Chess at a Human Desired Level and Style","authors":"Hanan Rosemarin, Ariel Rosenfeld","doi":"10.1145/3349537.3351904","DOIUrl":"https://doi.org/10.1145/3349537.3351904","url":null,"abstract":"Human chess players prefer training with human opponents over chess agents as the latter are distinctively different in level and style than humans. Chess agents designed for human-agent play are capable of adjusting their level, however their style is not aligned with that of human players. In this paper, we propose a novel approach for designing such agents by integrating the theory of chess players' decision-making with a state-of-the-art Monte Carlo Tree Search (MCTS) algorithm. We demonstrate the benefits of our approach using two sets of analyses. Quantitatively, we establish that the agents attain their desired Elo ratings. Qualitatively, through a Turing-inspired test with a human chess expert, we show that our agents are indistinguishable from human players.","PeriodicalId":188834,"journal":{"name":"Proceedings of the 7th International Conference on Human-Agent Interaction","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125809727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Romeo, Daniel Hernández García, Ray B. Jones, A. Cangelosi
{"title":"Deploying a Deep Learning Agent for HRI with Potential \"end-users\" at Multiple Sheltered Housing Sites","authors":"M. Romeo, Daniel Hernández García, Ray B. Jones, A. Cangelosi","doi":"10.1145/3349537.3351886","DOIUrl":"https://doi.org/10.1145/3349537.3351886","url":null,"abstract":"With the global population aging at an alarming rate, the need to find alternative ways to deliver quality assistance is becoming a pressing concern for health and care systems. To promptly provide companion-like assistance, robots need to gain social intelligence in an autonomous way, without relying on human operators. The work described in this paper aims to develop a deep learning agent that, by means of convolutional neural network architecture in the decision making loop, could understand when and how, to interact with one, or more people, gathered in a room. This was done by training a robot to assess the level of user engagement at the initiation of the interaction, so that the robot could detect the person most willing to start interacting. The robot's performance as a deep learning agent was tested through an experiment with potential ''end-users'', following an iterative process, over four days. The deep learning agent was able to take the right decision 59% of the times by the end of the experiment, from an initial success rate of 44% on the first day, proving the potential of such technologies in this application field.","PeriodicalId":188834,"journal":{"name":"Proceedings of the 7th International Conference on Human-Agent Interaction","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130522497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Proceedings of the 7th International Conference on Human-Agent Interaction","authors":"","doi":"10.1145/3349537","DOIUrl":"https://doi.org/10.1145/3349537","url":null,"abstract":"","PeriodicalId":188834,"journal":{"name":"Proceedings of the 7th International Conference on Human-Agent Interaction","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117045379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}