Results 11 to 20 of about 1,898 (151)

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., Leendert Van Der Torre, Garion, Christophe, Christophe Garion, Van der Torre, Leon   +4 more
core   +1 more source

Developing pervasive multiagent systems with nature-inspired co-ordination [PDF]

, 2015
Pervasive computing systems can be modelled effectively as populations of interacting autonomous components. The key challenge to realizing such models is in getting separately-specified and -developed sub-systems to discover and interoperate with each ...
Rosi, Alberto, Stevenson, Graeme, di Marzo Serugendo, Giovanan, Fernandez Marquez, Jose-Luis, Juan Ye, Fernandez Marquez, Jose Luis, De Angelis, Francesco L., Franco Zambonelli, Omicini, Andrea, Castelli, Gabriella, Anzengruber, Bernhard, Ferscha, Alois, Simon Dobson, Gabriella Castelli, Dobson, Simon, Molesini, Ambra, Serugendo, Giovanna Di Marzo, Stevenson, Graeme Turnbull, Viroli, Mirko, Zambonelli, Franco, DeAngelis, Francesco, Ye, Juan, Nieminen, Jussi, Marco Mamei, Graeme Stevenson, Alois Ferscha, Matteo Risoldi, Montagna, Sara, Mariani, Stefano, Giovanna Di Marzo Serugendo, Pianini, Danilo, Alberto Rosi, Dobson, Simon Andrew, Bernhard Anzengruber, Francesco L. DeAngelis, Mamei, Marco, Jose Luis Fernandez Marquez, Jussi Nieminen, Risoldi, Matteo   +38 more
core   +1 more source

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, Yolum, Pinar, Yolum, Pınar, Aydemir, Fatma Başak, Birbil, Ş. İlker, Öztoprak, Figen, Gunay, Akin   +6 more
core   +1 more source

Five guidelines for normative multiagent systems [PDF]

, 2009
peer reviewedn this paper we introduce and discuss five guidelines for the use of normative systems in computer science. We adopt a multiagent systems perspective, because norms are used to coordinate, organize, guide, regulate or control interaction ...
PIGOZZI, Gabriella, VAN DER TORRE, Leon, BOELLA, Guido   +2 more
core   +1 more source

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 ...
N. Jennings, Jennings, N. R., Zambonelli, F., M. Wooldridge, ZAMBONELLI, Franco, Jennings, NR, Wooldridge, M, Wooldridge, M., Zambonelli, F   +8 more
core   +1 more source

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., Alonso, Eduardo, d'Inverno, M., Alonso, E, Kudenko, Daniel, Noble, Jason, Kudenko, D, Luck, M, Luck, Michael, Kudenko, D., D'Inverno, M, Noble, J, Luck, M., Noble, J., d'Inverno, Mark   +14 more
core   +1 more source

A Scalable Multiagent Platform for Large Systems [PDF]

, 2013
[EN] A new generation of open and dynamic systems requires execution frameworks that are capable of being efficient and scalable when large populations of agents are launched.
Vicent Botti, Such Aparicio, José Miguel, Agustín Espinosa, Espinosa Minguet, Agustín Rafael, Alberola Oltra, Juan Miguel, Juan Alberola, Botti V., García-Fornes, A, Jose Such, Ana García-Fornes   +9 more
core   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +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, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +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, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source