The size of posters should be DinA0 (either poster or landscape). All poster sessions are scheduled at 15:30-17:00 hours.

11 July 2018
(15:30-17:00)
Ewa Andrejczuk, Filippo Bistaffa,Christian Blum, Juan A. Rodriguez-Aguilar, Carles Sierra Solving the Synergistic Team Composition Problem
Michalis Mamakos, Georgios Chalkiadakis Overlapping Coalition Formation via Probabilistic Topic Modeling
Decebal Constantin Mocanu, Elena Mocanu One-Shot Learning using Mixture of Variational Autoencoders: a Generalization Learning approach
Ruben A Putter, Geoff S Nitschke Is Novelty Search Good for Evolving Morphologically Robust Robot Controllers?
Yaodong Yang, Lantao Yu, Yiwei Bai, Ying Wen, Weinan Zhang, Jun Wang A Study of AI Population Dynamics with Million-agent Reinforcement Learning
Hau Chan, Luis E. Ortiz Learning Game-theoretic Models from Aggregate Behavioral Data with Applications to Vaccination Rates in Public Health
Stefano Picascia, Ali Termos, Neil Yorke-Smith Initial Results from an Agent-Based Simulation of Housing in Urban Beirut
Vahid Yazdanpanah, Devrim Murat Yazan, Henk Zijm Industrial Symbiotic Networks as Coordinated Games
Alessandro Ricci, Rafael Hector Bordini, Jomi F. Hbner, Rem Collier AgentSpeak(ER): An Extension of AgentSpeak(L) improving Encapsulation and Reasoning about Goals
Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Nolan Shah, Yang Lu, Weidong Shi Protecting Election from Bribery: New Approach and Computational Complexity Characterization
Akshat Tandon, Kamalakar Karlapalem Agent Strategies for the Hide-and-Seek Game
Hamid Mirzaei, Guni Sharon, Stephen Boyles, Tony Givargis, Peter Stone Link-based Parameterized Micro-tolling Scheme for Optimal Traffic Management
Aadesh Neupane, Michael A. Goodrich, Eric G. Mercer GEESE: Grammatical Evolution Algorithm for Evolution of Swarm Behaviors
Yan Zhang, Arnaud Grignard, Kevin Lyons, Alexander Aubuchon, Kent Larson Real-time Machine Learning Prediction of an Agent-Based Model for Urban Decision-making (Extended Abstract)
Drew Wicke, Ermo Wei, Sean Luke Dynamic Traveling Repairmen Bounty Hunters
Chaoli Zhang, Xiang Wang, Fan Wu, Xiaohui Bei Efficient Auctions with Identity-Dependent Negative Externalities
Weiran Shen, Zihe Wang, Song Zuo Ex-post IR Dynamic Auctions with Cost-per-action Payments
Yuan Luo, Nicholas R. Jennings A Differential Privacy Mechanism with Network Effects for Crowdsourcing Systems
Mark Alexander Burgess, Archie C. Chapman, Paul Scott The Generalized N&K Value: An Axiomatic Mechanism for Electricity Trading
Diodato Ferraioli, Carmine Ventre Probabilistic Verification for Obviously Strategyproof Mechanisms
Moinul Morshed Porag Chowdhury, Christopher Kiekintveld, Tran Cao Son, William Yeoh Bidding Strategy for Periodic Double Auctions Using Monte Carlo Tree Search
Shani Alkoby, David Sarne, Erel Segal-Halevi, Tomer Sharbaf Eliciting Truthful Unverifiable Information
Vittorio Bilo, Michele Flammini, Gianpiero Monaco, Luca Moscardelli On the Impact of Buyers Preselection in Pricing Problems
Grammateia Kotsialou, Luke Riley, Amrita Dhillon, Toktam Mahmoodi, Peter McBurney, Paul Massey, Richard Pearce Using Distributed Ledger Technology for Shareholder Rights Management
Vincent J. Koeman, Harm J. Griffioen, Danny C. Plenge, Koen V. Hindriks StarCraft as a Testbed for Engineering Complex Distributed Systems Using Cognitive Agent Technology
Hyesun Hong, Hanwoong Jung, KangKyu Park, Yeonggyo Yoon, Soonhoi Ha Service-Oriented Robot Software Development Framework for Distributed Heterogeneous Platforms
Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, Subbarao Kambhampati Recognizing Plans by Learning Embeddings from Observed Action Distributions
Sandhya Saisubramanian, Shlomo Zilberstein, Prashant Shenoy Planning Using a Portfolio of Reduced Models
Hal James Cooper, Garud Iyengar, Ching-Yung Lin Interpretable Robust Decision Making
Lakshmi Nair, Sonia Chernova Action Categorization for Computationally Improved Task Learning and Planning
David Isele, Eric Eaton, Mark Roberts, David Aha Modeling Consecutive Task Learning with Task Graph Agendas
Shangdong Yang, Hao Wang, Yang Gao, Xingguo Chen An Optimal Algorithm for the Stochastic Bandits with Knowing Near-optimal Mean Reward
Brent Harrison, Upol Ehsan, Mark O. Riedl Guiding Reinforcement Learning Exploration Using Natural Language
William Saunders, Girish Sastry, Andreas Stuhlmuller, Owain Evans Trial without Error: Towards Safe Reinforcement Learning via Human Intervention
Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul RAIL: Risk-Averse Imitation Learning
Steven King, Scott Forer, Adarsh Kesireddy, Logan Yliniemi Surrogate Difference Evaluations with Limited Peer to Peer Communications
Mao Li, Tim Brys, Daniel Kudenko Introspective Reinforcement Learning and Learning from Demonstration
Angelo Ferrando, Louise A. Dennis, Davide Ancona, Michael Fisher, Viviana Mascardi Recognising Assumption Violations in Autonomous Systems Verification
Pingzhong Tang, Dingli Yu Balanced Outcomes in Wage Bargaining
Shivam Gupta, Ruta Mehta Nash Equilibrium Computation in Resource Allocation Games
Alexander Peysakhovich, Adam Lerer Prosocial Learning Agents Solve Generalized Stag Hunts Better than Selfish Ones
Yaodong Yang, Jianye Hao, Zan Wang, Mingyang Sun, Goran Strbac Recurrent Deep Multiagent Q-Learning for Autonomous Agents in Future Smart Grid
Jen Jen Chung, Scott Chow, Kagan Tumer When Less is More: Reducing Agent Noise with Probabilistically Learning Agents
Amina Jarraya, Amel Bouzeghoub, Amel Borgi, Khedija Arour Distributed Collaborative Reasoning for HAR in Smart Homes
Florence Ho, Ruben Geraldes, Artur Goncalves, Marc Cavazza, Helmut Prendinger Simulating Shared Airspace for Service UAVs with Conflict Resolution
Dany Rovinsky, Noa Agmon Distributed Accurate Formation Control Under Uncertainty
Hung The Nguyen, Matthew Garratt, Lam Thu Bui, Hussein Abbass Apprenticeship Bootstrapping: Inverse Reinforcement Learning in a Multi-Skill UAV-UGV Coordination Task
Victoria Edwards, Peter Gaskell, Edwin Olson Calibrating Mixed Reality for Scalable Multi-Robot Experiments
Sasanka Nagavalli, Ramitha Sundar, Katia Sycara Exploiting Asynchrony in Multi-agent Consensus to Change the Agreement Point
Jean-Luc Lugrin, Fred Charles, Michael Habel, Matthews Jamie, Henrik Dudaczy, Sebastian Oberdorfer, Alice Wittmann, Christian Seufert, Julie Porteous, Silke Grafe, Marc Erich Latoschik Benchmark Framework for Virtual Students' Behaviours
Ivan Gris, David Novick Virtual Agent Interaction Framework (VAIF): A Tool for Rapid Development of Social Agents
Bart G.W. Craenen, Amol Deshmukh, Mary Ellen Foster, Alessandro Vinciarelli Shaping Gestures to Shape Personality: Big-Five Traits, Godspeed Scores and the Similarity-Attraction Effect
Lenin Medeiros, Tibor Bosse Towards an Online Emotional Support Agent: Identifying Emotional Support Strategies via Crowdsourcing
Samuel S. Sohn, Xun Zhang, Fernando Geraci, Mubbasir Kapadia An Emotionally Aware Embodied Conversational Agent
Samuel S. Sohn, Serena De Stefani, Mubbasir Kapadia Investigating the Role of Memory in Navigating Unseen Environments using Cognitive Maps
12 July 2018
(15:30-17:00)
Shauharda Khadka, Connor Yates, Kagan Tumer A Memory-based Multiagent Framework for Adaptive Decision Making
Saeid SamadiDana, Roger Mailler Analyzing the Effect of Information Stagnancy on the Distributed Stochastic Algorithm
Lois Vanhee, Laurent Jeanpierre, Abdel-Illah Mouaddib Towards Designing Multi-Agent Coverage Systems Capable of Anticipation and Tight Coordination with Detailed Environmental and Perception Models
Yang Liu, Ji Liu, Tamer Basar Gossip Gradient Descent
Hsu-Chieh Hu, Stephen F. Smith Bi-Directional Information Exchange in Decentralized Schedule-Driven Traffic Control
Ajitesh Srivastava, Rajgopal Kannan, Charalampos Chelmis, Viktor K. Prasanna FActCheck: Keeping Activation of Fake News at Check
Antonio Bucchiarone, Daniel Furelos-Blanco, Anders Jonsson, Fahmida Khandokar, Monjur Mourshed Collective Adaptation through Concurrent Planning: the Case of Sustainable Urban Mobility
Olabambo I. Oluwasuji, Obaid Malik, Jie Zhang, Sarvapali D. Ramchurn Algorithms to Manage Load Shedding Events in Developing Countries
Jan Broersen, Aldo Ivan Ramirez Abarca Formalising Oughts and Practical Knowledge without Resorting to Action Types
Francesco Belardinelli, Alessio Lomuscio, Aniello Murano, Sasha Rubin Decidable Verification of Multi-agent Systems with Bounded Private Actions
Natasha Alechina, Brian Logan Resource Logics with a Diminishing Resource
Behnam Torabi, Rym Zalila-wenkstern, Robert Saylor A Multi-Hop Agent-Based Traffic Signal Timing System for the City of Richardson
Aparna Gupta, Samarth Swarup, Achla Marathe, Anil Vullikanti, Kiran Lakkaraju, Joshua Letchford Designing Incentives to Maximize the Adoption of Rooftop Solar Technology
Tushar Vaidya, Carlos Murguia, Georgios Piliouras Learning Agents in Financial Markets: Consensus Dynamics on Volatility
Arnaud Grignard, Nuria Macia, Luis Alonso Pastor, Ariel Noyman, Yan Zhang, Kent Larson CityScope Andorra: A Multi-level Interactive and Tangible Agent-based Visualization
Swapnil Dhamal, Walid Ben-Ameur, Tijani Chahed, Eitan Altman Optimal Multiphase Investment Strategies for Influencing Opinions in a Social Network
Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An Inducible Equilibrium for Security Games
Dong Quan Vu, Patrick Loiseau, Alonso Silva A Simple and Efficient Algorithm to Compute Epsilon-Equilibria of Discrete Colonel Blotto Games
Rupert Freeman, David M. Pennock An Axiomatic View of the Parimutuel Consensus Wagering Mechanism
Haifeng Xu, Shaddin Dughmi, Milind Tambe, Venil Loyd Noronha Mitigating the Curse of Correlation in Security Games by Entropy Maximization
Christopher Archibald, Delma Nieves-Rivera Execution Skill Estimation
Nhat V.-Q. Truong, Sebastian Stein, Long Tran-Thanh, Nicholas R. Jennings Adaptive Incentive Selection for Crowdsourcing Contests
Moshe Bitan, Sarit Kraus Combining Prediction of Human Decisions with ISMCTS in Imperfect Information Games
Guy Cohen, David Sarne Timing Rating Requests for Maximizing Obtained Rating
Aditya Grover, Maruan Al-Shedivat, Jayesh K. Gupta, Yura Burda, Harrison Edwards Evaluating Generalization in Multiagent Systems using Agent-Interaction Graphs
Chengwei Zhang, Xiaohong Li, Jianye Hao, Sandip Sen, Wanli Xue, Zhiyong Feng The Dynamics of Opinion Evolution in Gossiper-Media Model with WoLS-CALA Learning
Andrei Lupu, Audrey Durand, Doina Precup Leveraging Observational Learning for Exploration in Bandits
Anton Andreychuk, Konstantin Yakovlev Two Techniques That Enhance the Performance of Multi-robot Prioritized Path Planning
Gilberto Marcon dos Santos, Julie A. Adams Task Fusion Heuristics for Coalition Formation and Planning
Francesco Riccio, Roberto Capobianco, Daniele Nardi DOP: Deep Optimistic Planning with Approximate Value Function Evaluation
Max Korein, Manuela Veloso Multi-Armed Bandit Algorithms for Spare Time Planning of a Mobile Service Robot
Celso M de Melo, Peter Khooshabeh, Ori Amir, Jonathan Gratch Shaping Cooperation between Humans and Agents with Emotion Expressions and Framing
Hiroaki Sugiyama, Toyomi Meguro, Yuichiro Yoshikawa, Junji Yamato Avoiding Breakdown of Conversational Dialogue through Inter-Robot Coordination
Lydia OuldOuali, Nicolas Sabouret, Charles Rich I've Got the Power's Value! A Computational Model to Evaluate the Interlocutor's Behaviors in Collaborative Negotiation
Frank Forster, Kerstin Dautenhahn, Chrystopher L. Nehaniv Motor Resonance as Indicator for Quality of Interaction - Does it Scale to Natural Movements?
Christopher Peters, Chengjie Li, Fangkai Yang, Vanya Avramova, Gabriel Skantze Investigating Social Distances between Humans, Virtual Humans and Virtual Robots in Mixed Reality
Masoume M. Raeissi, Alessandro Farinelli Learning Queuing Strategies in Human-Multi-Robot Interaction
Elizabeth A. Jensen, Maria Gini Online Multi-Robot Coverage: Algorithm Comparisons
13 July 2018
(15:30-17:00)
Maxime Clement, Tenda Okimoto, Katsumi Inoue Multi-Objective Distributed Pseudo-Tree Optimization
Tal Ze'evi, Roie Zivan, Omer Lev Socially Motivated Partial Cooperation in Multi-agent Local Search
Devin Schwab, Yifeng Zhu, Manuela Veloso Zero Shot Transfer Learning for Robot Soccer
Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinicius Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, Thore Graeppel Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward
Caroline Player, Nathan Griffiths Addressing Concept Drift in Reputation Assessment
Onuralp Ulusoy, P?nar Yolum PANO: Privacy Auctioning for Online Social Networks
Abdurrahman Can Kurtan, P?nar Yolum PELTE: Privacy Estimation of Images from Tags
Viktor Stojkoski, Zoran Utkovski, Elisabeth Andre, Ljupco Kocarev Multiplex Network Structure Enhances the Role of Generalized Reciprocity in Promoting Cooperation
Jing Ma, Edmund M-K Lai Incorporating Chorus Line Effect into a Cucker-Smale System for Fast Manoeuvre Tracking
Chad Crawford, Rachna Nanda Kumar, Sandip Sen Resisting Exploitation Through Rewiring in Social Networks: Social Welfare Increase using Parity, Sympathy and Reciprocity
Alexander Carver, Paolo Turrini Intolerance does not Necessarily Lead to Segregation: A Computer-aided Analysis of the Schelling Segregation Model
Luca Crociani, Giuseppe Vizzari, Stefania Bandini Neither Dumb nor Optimal: Plausible Wayfinding in Pedestrian Agent-Based Models
Javier Palanca, Stella Heras, Paula Andrea Rodriguez Marin, Nestor Duque, Vicente Julian An Argumentation-based Conversational Recommender System for Recommending Learning Objects
Tiago Oliveira, Jeremie Dauphin, Ken Satoh, Shusaku Tsumoto, Paulo Novais Argumentation with Goals for Clinical Decision Support in Multimorbidity
Bohao Wang, Hirotaka Osawa, Ken Satoh How Implicit Communication Emerges during Conversation Game
Bruno Yun, Madalina Croitoru, Pierre Bisquert, Srdjan Vesic Graph Theoretical Properties of Logic Based Argumentation Frameworks
Carla Groenland, Guido Schaefer The Curse of Ties in Congestion Games with Limited Lookahead
Tomasz Janus, Mateusz Skomra, Marcin Dziubinski Individual Security and Network Design with Malicious Nodes
Barbara M. Anthony, Christine Chung How Bad is Selfish Doodle Voting?
Yongjie Yang Complexity of Controlling Nearly Single-Peaked Elections Revisited
Yongjie Yang, Jianxin Wang Parameterized Complexity of Multi-winner Determination: More Effort Towards Fixed-Parameter Tractability
Mingyu Xiao, Yuqing Wang, Binglin Tao A Geometric Least Squares Method for Peer Assessment
Arianna Novaro, Umberto Grandi, Dominique Longin, Emiliano Lorini From Individual Goals to Collective Decisions
Aurelie Beynier, Nicolas Maudet, Anastasia Damamme Fairness in Multiagent Resource Allocation with Dynamic and Partial Observations
Junzhe Zhang, Elias Bareinboim Characterizing the Limits of Autonomous Systems
Mathijs M. de Weerdt, Michael Albert, Vincent Conitzer, Koos van der Linden Complexity of Scheduling Charging in the Smart Grid
Hang Ma, Glenn Wagner, Ariel Felner, Jiaoyang Li, T. K. Satish Kumar, Sven Koenig Multi-Agent Path Finding with Deadlines: Preliminary Results
Gianluca Torta, Roberto Micalizio SMT-Based Diagnosis of Multi-Agent Temporal Plans
Mor Vered, Ramon Fraga Pereira, Mauricio C. Magnaguagno, Gal A. Kaminka, Felipe Meneguzzi Towards Online Goal Recognition Combining Goal Mirroring and Landmarks
Liron Cohen, Glenn Wagner, David Chan, Sven Koenig, Howie Choset, Nathan Sturtevant, T. K. Satish Kumar Rapid Randomized Restarts for Multi-Agent Path Finding: Preliminary Results
Dor Atzmon, Roni Stern, Ariel Felner, Glenn Wagner, Roman Bartak, Neng-Fa Zhou Robust Multi-Agent Path Finding
Shun Zhang, Edmund H. Durfee, Satinder Singh On Querying for Safe Optimality in Factored Markov Decision Processes
Daniel A. M. Moreira, Karina V. Delgado, Leliane Nunes de Barros Symbolic Dynamic Programming for Risk-sensitive Markov Decision Process with limited budget
Anay Pattanaik, Zhenyi Tang, Shuijing Liu, Gautham Bommannan, Girish Chowdhary Robust Deep Reinforcement Learning with Adversarial Attacks
James Butterworth, Bastian Broecker, Karl Tuyls, Paolo Paoletti Evolving Coverage Behaviours For MAVs Using NEAT
Riccardo Sartea, Alessandro Farinelli Detection of Intelligent Agent Behaviors Using Markov Chains
Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan Preference-Guided Planning: An Active Elicitation Approach
Anil Sharma, Arun Balaji Buduru Foresee: Attentive Future Projections of Chaotic Road Environments
Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Zhiyong Feng SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions
Adam Allevato, Andrea Thomaz, Mitch Pryor Affordance Discovery using Simulated Exploration
Stevan Tomic, Alicja Wasik, Pedro U. Lima, Alcherio Martinoli, Federico Pecora, Alessandro Saffiotti Towards Institutions for Mixed Human-Robot Societies
Tathagata Chakraborti, Sarath Sreedharan, Subbarao Kambhampati Explicability versus Explanations in Human-Aware Planning
Elena Corina Grigore, Olivier Mangin, Alessandro Roncone, Brian Scassellati Predicting Supportive Behaviors for Human-Robot Collaboration
Jerome Guzzi, Alessandro Giusti, Luca M. Gambardella, Gianni A. Di Caro Artificial Emotions as Dynamic Modulators of Individual and Group Behavior in Multi-robot System
Klaus Weber, Hannes Ritschel, Florian Lingenfelser, Elisabeth Andre Real-Time Adaptation of a Robotic Joke Teller Based on Human Social Signals
Peter Edward McKenna, Ayan Ghosh, Ruth Aylett, Frank Broz, Ingo Keller, Thusha Rajendran Robot Expressive Behaviour and Autistic Traits
Zian Zhao, Michael Madaio, Florian Pecune, Yoichi Matsuyama, Justine Cassell Socially-Conditioned Task Reasoning for a Virtual Tutoring Agent
Joana Campos, Carlos Martinho, Ana Paiva Modelling Conflict Dynamics in Dyadic Interactions
Alexis David Jacq, Julien Magnan, Maria Jose Ferreira, Pierre Dillenbourg, Ana Paiva Sensitivity To Perceived Mutual Understanding In Human-Robot Collaborations
Jason Wu, Sayan Ghosh, Mathieu Chollet, Steven Ly, Sharon Mozgai, Stefan Scherer NADiA - Towards Neural Network Driven Virtual Human Conversation Agents