Synthesis of metal-organic frameworks (MOFs): routes to various MOF topologies, morphologies, and composites.

State-of-the-art in artificial neural network applications: A survey

Practical Reason On The Theory Of Action

Alternating-time temporal logic

New stories of zeolite structures: their descriptions, determinations, predictions, and evaluations.

Multi-Agent System Development Based on Organizations

Today, the need for architectures and computational models for large-scale open multi-agent systems is considered to be a key issue for the success of agent technology in real-world scenarios. This paper analyzes the significant unsolved problems that must be taken into account in order to develop real, open multi-agent systems. It identifies requirements and related open issues, discusses how some of these requirements have been tackled by current technologies, and explains how the THOMAS architecture is able to give support to these open issues. This paper also describes the THOMAS abstract architecture and computational model for large-scale open multi-agent systems based on a service-oriented approach that specifically addresses the design of virtual organizations. An application example for the management of a travel agency system, which demonstrates the new features of the proposal, is also presented.

An abstract architecture for virtual organizations: The THOMAS approach

Application of artificial neural networks to high-throughput synthesis of zeolites

Optimisation of olefin epoxidation catalysts with the application of high-throughput and genetic algorithms assisted by artificial neural networks (softcomputing techniques)

A challenging problem currently addressed in the multi-agent systems area is the development of open systems; which are characterized by the heterogeneity of their participants and the dynamic features of both their participants and their environment. The main feature of agents in these systems is autonomy. It is this autonomy that requires regulation, and norms are a solution for this. Norms represent a tool for achieving coordination and cooperation among the members of a society. They have been employed in the field of Artificial Intelligence as a formal specification of deontic statements aimed at regulating the actions of software agents and the interactions among them. This article gives an overview of the most relevant works on norms for multi-agent systems. This review considers open multi-agent systems challenges and points out the main open questions that remain in norm representation, reasoning, creation, and implementation.

Open issues for normative multi-agent systems

Estefania Argente

Papers

Multi-Agent System Development Based on Organizations

An abstract architecture for virtual organizations: The THOMAS approach

Application of artificial neural networks to high-throughput synthesis of zeolites

Optimisation of olefin epoxidation catalysts with the application of high-throughput and genetic algorithms assisted by artificial neural networks (softcomputing techniques)

Open issues for normative multi-agent systems