
- An Empirical Semantics Approach to Reasoning About Communication
- Exploiting Domain Knowledge to Improve Norm Synthesis George Christelis
- On the Organisation of Agent Experience: Scaling up Social Cognition
- Advice Taking in Multiagent Reinforcement Learning Michael Rovatsos and Alexandros Belesiotis
- A Framework for Agent-Based Distributed Machine Learning and Data Mining
- Operational Modelling of Agent Autonomy: Theoretical Aspects and a Formal Language
- Communication Systems: A Unified Model of Socially Intelligent Systems
- Automated Norm Synthesis in an Agent-based Planning Environment
- Interaction is Meaning: A New Model for Communication in Open Systems
- Executing Specifications of Social Reasoning Iain Wallace and Michael Rovatsos
- A Generative Dialogue System for Arguing about Plans in Situation Calculus
- Practical Strategic Reasoning and Adaptation in Rational Argument-Based Negotiation
- Adaptiveness in Agent Communication: Application and Adaptation of Conversation Patterns
- Hierarchical Common-Sense Interaction Learning Michael Rovatsos
- Autonomous Software Michael Rovatsos Gerhard Weiss
- Advice Taking in Multiagent Reinforcement Learning Michael Rovatsos and Alexandros Belesiotis
- Empiric-rational Semantics of Agent Communication Matthias Nickles, Michael Rovatsos, Gerhard Wei
- Collaborative Agent-Based Learning for Brain Tumour Diagnosis
- Opportunistic Belief Reconciliation During Distributed Interactions
- Expectation-oriented Modeling Matthias Nickles , Michael Rovatsos
- Dynamic Semantics for Agent Communication Languages Michael Rovatsos
- Towards Improving Supply Chain Coordination through Agent-Based Simulation
- Computational Interaction Frames Michael Rovatsos
- Exploiting interaction contexts in P2P ontology mapping Paolo Besana, Dave Robertson and Michael Rovatsos
- Operational Modelling of Agent Autonomy: Theoretical Aspects and a Formal Language
- Temporal Vagueness, Coordination and Communication
- An Integrated Framework for Adaptive Reasoning About Conversation Patterns
- Towards a Unified Model of Sociality in Multiagent Systems Matthias Nickles Michael Rovatsos Wilfried Brauer Gerhard Wei
- An Empirical Model of Communication in Multiagent Systems
- Towards Social Complexity Reduction in Multiagent Learning: the ADHOC Approach
- A Schema for Specifying Computational Matthias Nickles, Michael Rovatsos, and Gerhard Wei
- Practical Social Reasoning Systems Michael Rovatsos
- Bounded Practical Social Reasoning in the ESB Iain Wallace
- Agreeing on Plans Through Iterated Disputes Alexandros Belesiotis
- International Journal of Computer & Information Science, Vol. 5, No. 2, June 2004 73 Towards a Unified Model of Sociality in Multiagent Systems
- 6 Int. J. Intelligent Information and Database Systems, Vol. 2, No. 1, 2008 MALEF: Framework for distributed machine
- Hierarchical Reinforcement Learning for Communicating Agents
- Linkage Liaisons A Scenario for the Computational Study of
- Mining Qualitative Context Models from Multiagent Interactions
- Adaptive Strategies for Practical Argument-Based Negotiation
- Achieving Multiagent Organisation by Organising Agent Experience
- Specifying the Intertwining of Cooperation and Autonomy in Agent-based Systems
- Reasoning about Communication A Practical Approach based on Empirical Semantics
- Indicators for Self-Diagnosis: Communication-based Performance Measures
- Multiagent Learning for Open Systems: A Study in Opponent Classification
- An Integrated Framework for Adaptive Reasoning About Conversation Patterns
- Acquiring and Adapting Probabilistic Models of Agent Conversation
- An Approach to the Analysis and Design of Multiagent Systems Based on Interaction Frames
- Hierarchical Reinforcement Learning in Communication-Mediated Multiagent Coordination
- Hierarchical Reinforcement Learning in Communication-Mediated Multiagent Coordination
- Collaborative Agent-Based Learning with Limited Data Exchange
- Using Hierarchical Machine Learning to Improve Player Satisfaction in a Soccer Videogame
- Scaling Up Multiagent Planning: A Best-Response Approach Anders Jonsson