1,720,962 research outputs found
LoudVoice v2.0: a Java implementation of Channeled Multicast for PEACH
No full textThese are the release notes for the version 2.0 of LoudVoice, a Java package implementing a channeled multicast agent communication infrastructure. Included in this version, there are some utilities especially written for the Peach projec
An Approach to the Integration of Peer-to-Peer Systems with Active Entironment
No full textWe adopt a form of group communication, called "channeled multicast", for active rooms and other scenarios featuring strict real-time requirements, inherently unreliable communication, and a continuously changing set of context-aware autonomous systems. In our approach, rooted in multi-agent and team programming, coordination and cooperation are supported via ``social awareness'' and overhearing; agents form "implicit organizations" by actively participating to playing a role on a channel. We present an approach to the integration of Internet-based peer-to-peer systems into active rooms by means of agents on "proxy devices" accessing the users' "home peers"; a home peer is a remote or delocalized repository of data and services. In addition to other advantages, our approach introduces a new flavor to the concept of neighborhood in P2P systems, reduces or even avoids the need for users to physically carry P2P-equipped mobile devices with them, and easily supports virtual environments created by the composition of smart rooms at different location
Real-time Role Coordination for Ambient Intelligence
No full textWe propose group communication for agent coordination within "active rooms" and other pervasive computing scenarios featuring strict real-time requirements, inherently unreliable communication, and a large but continuously changing set of context-aware autonomous systems. Messages are exchanged over \emph{multicast channels}, which may
remind of chat rooms in which everybody hears everything being said. The issues that have to be faced (e.g., changing users' preferences and locations; performance constraints; redundancies of sensors and actuators; agents on mobile devices continuously joining and leaving) require the ability of dynamically selecting the "best" agents for providing a service in a given context. Our approach is based on the idea of \emph{implicit organization}, which refers to the set of all agents willing to play a given role on a given channel. An implicit organization is a special form of team with no explicit formation phase and a single role involved. No middle agent is required. A set of protocols, designed for unreliable group communication, are used to
negotiate a coordination policy, and for team coordination. We sketch a general computational model for an agent participating to an implicit organizatio
Software Support for Implicit Organizations in LoudVoice
No full textThis document is the final report on the work done during 2003 on the development platform and overhearing platform, part of the tasks of the Workpackages 1 and 2 of the PEACH project. Our focus was on the support of "ambient intelligence" provided via agents communicating by means of multicast network
Group Communication for Real-time Role Coordination and Ambient Intelligence
No full textWe propose a form of group communication, called \emph{channeled multicast}, for active rooms and other scenarios featuring strict real-time requirements, inherently unreliable communication, and a continuously changing set of context-aware autonomous systems. In our approach, rooted in multi-agent and team programming, coordination and cooperation are supported via "social awareness" and overhearing. Overhearing also allows the collection of contextual information without interfering with running systems. We introduce the concept of \emph{implicit organization} for coordinating agents, outline a general architecture, describe some of the protocols in use in our applications (interactive museums), and report on some initial experimental result
Intra-Role Coordination Using Channeled Multicast
No full textWe propose group communication for agent coordination within "active rooms" and other pervasive computing scenarios featuring strict real-time requirements, inherently unreliable communication, and a large but continuously changing set of context-aware autonomous systems. Messages are exchanged over \emph{multicast channels}, which may remind of chat rooms where everybody hears everything being told. The issues that have to be faced (e.g., changing users' preferences and locations; performance constraints; redundancies of sensors, actuators, and services; evolving sources of information; the continuous joining and leaving of agents on mobile devices) require the ability of dynamically selecting the "best" agents for providing a service in a given context. Our approach is based on the idea of \emph{implicit organization}, which refers to the set of all agents willing to play a given role on a given channel; an implicit organization is a special form of team with no explicit formation phase and a single role involved. No middle agent is required by an implicity organization; instead, a set of protocols, designed for unreliable group communication, are used for two purposes: first, to negotiate a coordination policy; second, for actual team coordination. Preconditions and effects of these protocols are formalized by means of the joint intention theory (JIT). We sketch a general computational model for an agent participating to an implicit organizatio
An Approach to the Integration of Peer-to-Peer Systems with Active Environments
No full textWe adopt a form of group communication, called channeled multicast, for active rooms and other scenarios featuring strict real-time requirements, inherently unreliable communication, and a continuously changing set of context-aware autonomous systems. In our approach, rooted in multi-agent and team programming, coordination and cooperation are supported via "social awareness" and overhearing; agents form implicit organizations by actively participating to playing a role on a channel. We present an approach to the integration of Internetbased peer-to-peer systems into active rooms by means of agents on proxy devices accessing the users' home peers; a home peer is a remote or delocalized repository of data and services. In addition to other advantages, our approach introduces a new flavor to the concept of neighborhood in P2P systems, reduces or even avoids the need for users to physically carry P2P-equipped mobile devices with them, and easily supports virtual environments created by the composition of smart rooms at different locations
Real-time Role Coordination For Ambient Intelligence
No full textWe propose group communication for agent coordination within “active rooms ” and other pervasive computing scenarios featuring strict real-time requirements, inherently unreliable communication, and a large but continuously changing set of context-aware autonomous systems. Messages are exchanged over multicast channels, which may remind of chat rooms in which everybody hears everything being said. The issues that have to be faced (e.g., changing users ’ preferences and locations; performance constraints; redundancies of sensors and actuators; agents on mobile devices continuously joining and leaving) require the ability of dynamically selecting the “best ” agents for providing a service in a given context. Our approach is based on the idea of implicit organization, which refers to the set of all agents willing to play a given role on a given channel. An implicit organization is a special form of team with no explicit formation phase and a single role involved. No middle agent is required. A set of protocols, designed for unreliable group communication, are used to negotiate a coordination policy, and for team coordination. We sketch a general computational model for an agent participating to an implicit organization
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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