Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
A capabilities-based model for adaptive organizations
Autonomous Agents and Multi-Agent Systems
A Peer-to-Peer Normative System to Achieve Social Order
Coordination, Organizations, Institutions, and Norms in Agent Systems II
QoS based framework for ubiquitous robotic services composition
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Role model based mechanism for norm emergence in artificial agent societies
COIN'07 Proceedings of the 2007 international conference on Coordination, organizations, institutions, and norms in agent systems III
Towards a logical model of social agreement for agent societies
COIN'09 Proceedings of the 5th international conference on Coordination, organizations, institutions, and norms in agent systems
Using indistinguishability in ubiquitous robot organizations
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
| Hi-index | 0.00 |
As robots become more pervasive and ubiquitous in the lives of humans, they become increasingly involved in every aspect of the lives of humans. People expect that robots will take on tasks to simplify our lives, by working with humans just as other humans do, in normal organizations and societies. This labor specialization, by ubiquitous robots, allows humans more comfort, time or focus to concentrate on higher level desires or tasks. To further this unification of relationships, the defined line between humans and other robots must become somewhat indistinguishable. This ever increasing degree of indistinguishability provides that we care less about who or what executes a task or solves a goal, as long as that entity is capable and available. In this paper, we propose a model and a simple example implementation which minimizes the strict line between humans, software agents, robots, machines and sensors (HARMS) and reduces the distinguishability between these actors.