 |
COMRIS |
Co-Habited Mixed-Reality Information Spaces |
ESPRIT LTR 25500 |
Relevant IIIA References to COMRIS
In general, you may find all of our research in the
IIIA Publications and
Research Reports webpages. This research is also explained by
projects.
In this webpage, references are classified in three sections
- Multiagent Learning
- Agent-mediated Trading & Institution
- SMASH project
Multiagent Learning
We are working in an approach to multiagents that learn called
federated learning. There is a webpage
on cooperation among agents with case-based reasoning. The agents are
implemented in Plural, an
agent communication language extending the representation language Noos.
Article on Cooperation among Case-Based Reasoning
Agents
-
Cooperative Case-Based Reasoning
- (Available online
[compressed PDF] |
[compressed PS])
- Enric Plaza,
Josep Lluís Arcos,
and Francisco Martín.
-
We are investigating possible modes of cooperation among homogeneous
agents with learning capabilities. In this paper we will be focused
on agents that learn and solve problems using Case-based Reasoning
(CBR), and we will present two modes of cooperation among them:
Distributed Case-based Reasoning (DistCBR) and Collective Case-based
Reasoning (ColCBR). We illustrate these modes with an application
where different CBR agents able to recommend chromatography techniques
for protein purification cooperate. The approach taken is to extend
Noos, the
representation language being used by the CBR agents. Noos is
knowledge modeling framework designed to integrate learning methods
and based on the task/method decomposition principle. The extension
we present, Plural
Noos, allows communication and cooperation among agents
implemented in Noos by means of
three basic constructs: alien references, foreign method evaluation,
and mobile methods.
- Published in G. Weiss (Ed.) "Distributed Artificial Intelligence meest Machine
Learning", Lecture Notes in Artificial Intelligence, Springer Verlag, num. 1221, pp.180-201.
(1997)
Agent-mediated Trading and the notion of Institutions
The Fishmarket
project is where you will find the context on intelligent agents for
electronic commerce and where the notion of Institution is being developed.
Dialogical framework
P. Noriega, C. Sierra: Towards Layered Dialogical Agents . Proceedings of
the ECAI'96 Workshop Agents Theories, Architectures and Languages. ATAL'96.
Budapest, pp. 69-81. (L.N.A.I. Springer, in press)
(IIIA-RR-96-19)
ABSTRACT: We present a formalism for the specification of agents within a multi-agent system
in which we characterize agents through a layered architecture with bridge rules between formal
theories, and multi-agent systems through dialogical frameworks. Concurrent Descriptive
Dynamic Logic (an extension of Peleg's Concurrent Dynamic Logic) is introduced as the
specification language to account for the computational interpretation of such multi-agent
systems. We illustrate our proposal through the description and implementation of a multi-agent
environment: the downward-bidding fish market.
Abstract that will became a paper about "Institutions"
C. Sierra, P. Noriega: A formal framework for accountable agent
interactions,The Fifth Bar-Ilan Sympossium on Foundations of Artificial
Intelligence. June 16-18, 1997. Ramat-Gan Israel. Abstracts. pp 23-24.
Abstract
Argumentation among agents
C. Sierra, N. R. Jennings, P.Noriega, S. Parsons: A
framework for argumentation-based negotiation. ATAL'97, Providence,
Rhode Island, USA, July 24-26, 1997
Fishmarket - First implementation
C. Di Napoli, M. Giordano, M. Mango Furnari, C. Sierra, P. Noriega, A PVM
Implementation of the Fishmarket Multiagent System , Int. Congress on
Expert Systems and Applications, Cancun, Mexico.
Fishmarket - Second implementation
J. A. Rodriguez, P. Noriega, C. Sierra, J. Padget, A Java-based Electronic
Auction House, Second International Conference on The Practical Application
of Intelligent Agents and Multi-Agent Technology: PAAM'97, pp. 207-224,
London.
SMASH
SMASH is a
CICYT-funded project for research and development of new tecnologies of
multiagent systems involving Artificial Intelligence techniques in
reasoning, learning, communication, and cooperation with the goal of
improve the sevices of the Hospital System in Catalonia.
JIVE communicators
Java-based Intercommunicators for Virtual Environments
(JIVE) is a Java-based
implementation of the notion of "facilitator" (a.k.a. "communicator") among
the agents developed in the SMASH project.
