Technical Note: \cal Q-Learning
Machine Learning
Designing emergent behaviors: from local interactions to collective intelligence
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Heterogeneous multi-robot cooperation
Heterogeneous multi-robot cooperation
RoboCup: The Robot World Cup Initiative
AGENTS '97 Proceedings of the first international conference on Autonomous agents
The impact of diversity on performance in multi-robot foraging
Proceedings of the third annual conference on Autonomous Agents
Multiagent Mission Specification and Execution
Autonomous Robots
Reinforcement Learning in the Multi-Robot Domain
Autonomous Robots
Behavioral diversity in learning robot teams
Behavioral diversity in learning robot teams
A Mathematical Theory of Communication
A Mathematical Theory of Communication
Interference as a tool for designing and evaluating multi-robot controllers
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Machine learning and inductive logic programming for multi-agent systems
Mutli-agents systems and applications
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
Machine Learning and Inductive Logic Programming for Multi-agent Systems
EASSS '01 Selected Tutorial Papers from the 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School on Multi-Agent Systems and Applications
Reactivity and Deliberation: A Survey on Multi-Robot Systems
Balancing Reactivity and Social Deliberation in Multi-Agent Systems, From RoboCup to Real-World Applications (selected papers from the ECAI 2000 Workshop and additional contributions)
Construction by Autonomous Agents in a Simulated Environment
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
A method for isolating morphological effects on evolved behaviour
ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats
Distributed Coordination in Heterogeneous Multi-Robot Systems
Autonomous Robots
Agent Heterogeneity and Coalition Formation: Investigating Market-Based Cooperative Problem Solving
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
From Robots to Animals: Virtual Fences for Controlling Cattle
International Journal of Robotics Research
Development environments for autonomous mobile robots: A survey
Autonomous Robots
A bio-inspired architecture for division of labour in SANETs
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
Self-organized flocking with a mobile robot swarm
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Performance Evaluation of a Multi-Robot Search & Retrieval System: Experiences with MinDART
Journal of Intelligent and Robotic Systems
Measurement of Underlying Cooperation in Multiagent Reinforcement Learning
PRIMA '08 Proceedings of the 11th Pacific Rim International Conference on Multi-Agents: Intelligent Agents and Multi-Agent Systems
Moving Nature-Inspired Algorithms to Parallel, Asynchronous and Decentralised Environments
Proceedings of the 2005 conference on Self-Organization and Autonomic Informatics (I)
A Monitor for Digital Business Ecosystems
Proceedings of the 2007 conference on Artificial Intelligence Research and Development
Evaluation of global system state thanks to local phenomenona
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Specialization as an optimal strategy under varying external conditions
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
A history of graph entropy measures
Information Sciences: an International Journal
Robotic platform: a XML-based extensible robot intelligence architecture (XRIA)
ICSR'10 Proceedings of the Second international conference on Social robotics
Swarm robotics: from sources of inspiration to domains of application
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
Communication, diversity and learning: cornerstones of swarm behavior
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
An environment-based methodology to design reactive multi-agent systems for problem solving
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
Costs and benefits of behavioral specialization
Robotics and Autonomous Systems
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As research expands in multiagent intelligent systems, investigators need new tools for evaluating the artificial societies they study. It is impossible, for example, to correlate heterogeneity with performance in multiagent robotics without a quantitative metric of diversity. Currently diversity is evaluated on a bipolar scale with systems classified as either heterogeneous or homogeneous, depending on whether any of the agents differ. Unfortunately, this labeling doesn't tell us much about the extent of diversity in heterogeneous teams. How can it be determined if one system is more or less diverse than another? Heterogeneity must be evaluated on a continuous scale to enable substantive comparisons between systems. To enable these types of comparisons, we introduce: (1) a continuous measure of robot behavioral difference, and (2) hierarchic social entropy, an application of Shannon's information entropy metric to robotic groups that provides a continuous, quantitative measure of robot team diversity. The metric captures important components of the meaning of diversity, including the number and size of behavioral groups in a society and the extent to which agents differ. The utility of the metrics is demonstrated in the experimental evaluation of multirobot soccer and multirobot foraging teams.