Normative Systems in Computer Science - Ten Guidelines for Normative Multiagent Systems [PDF]
, 2009 In this paper we introduce and discuss ten guidelines for the use of normative systems in computer science. We adopt a multiagent sys- tems perspective, because norms are used to coordinate, organize, guide, regulate or control interaction among distributed autonomous systems.
BOELLA, Guido +2 more
core +8 more sources
Learning objectives for courses in the Department of Computer Science, Oregon State University [PDF]
This document describes the overall learning objectives for courses in the department of computer science at Oregon State ...
Oregon State University. Department of Computer Science
core +6 more sources
Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies [PDF]
, 2012 This paper proposes the use of multiagent cooperation for solving global optimization problems through the introduction of a new multiagent environment, MANGO.
Günay, Akın +6 more
core +1 more source
Introduction to Planning in Multiagent Systems [PDF]
, 2009 In most multiagent systems planning on forehand can help to seriously improve the efficiency of executing actions. The main difference between centrally creating a plan and constructing a plan for a system of agents lies in the fact that in the latter ...
Clement, B. +6 more
core +2 more sources
Developing multiagent systems: the Gaia Methodology
, 2003 Systems composed of interacting autonomous agents offer a promising software engineering approach for developing applications in complex domains. However, this multiagent system paradigm introduces a number of new abstractions and design/development ...
Jennings, N. R. +2 more
core +2 more sources
Learning in multi-agent systems [PDF]
, 2001 In recent years, multi-agent systems (MASs) have received increasing attention in the artificial intelligence community. Research in multi-agent systems involves the investigation of autonomous, rational and flexible behaviour of entities such as ...
Alonso, E. +14 more
core +1 more source
On the benefits of argumentation-derived evidence in learning policies [PDF]
, 2010 . Trust is a mechanism for managing the uncertainty about autonomous entities and the information they store, and so can play an important role in any decentralized system.
Parsons, Simon +12 more
core +1 more source
Design by contract - Deontic design language for multiagent systems [PDF]
, 2005 Design by contract is a well known theory that views software construction as based on contracts between clients (callers) and suppliers (routines),relying on mutual obligations and benefits made explicit by assertions.
Garion, C. +4 more
core +1 more source
Evolution of Physical Intelligence Across Scales
Advanced Intelligent Discovery, EarlyView.By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
Advanced Intelligent Discovery, EarlyView.This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source