A generic testing framework for agent-based simulation models

International audienceAgent-based modelling and simulation (ABMS) had an increasing attention during the last decade. However, the weak validation and verification of agent-based simulation models makes ABMS hard to trust. There is no comprehensive tool set for verification and validation of agent-based simulation models, which demonstrates that inaccuracies exist and/or reveals the existing errors in the model. Moreover, on the practical side, many ABMS frameworks are in use. In this sense, we designed and developed a generic testing framework for agent-based simulation models to conduct validation and verification of models. This paper presents our testing framework in detail and demonstrates its effectiveness by showing its applicability on a realistic agent-based simulation case study

Mimicking human neuronal pathways in silico: an emergent model on the effective connectivity

International audienceWe present a novel computational model that detects temporal configurations of a given human neuronal pathway and constructs its artificial replication. This poses a great challenge since direct recordings from individual neurons are impossible in the human central nervous system and therefore the underlying neuronal pathway has to be considered as a black box. For tackling this challenge, we used a branch of complex systems modeling called artificial self-organization in which large sets of software entities interacting locally give rise to bottom-up collective behaviors. The result is an emergent model where each software entity represents an integrate-and-fire neuron. We then applied the model to the reflex responses of single motor units obtained from conscious human subjects. Experimental results show that the model recovers functionality of real human neuronal pathways by comparing it to appropriate surrogate data. What makes the model promising is the fact that, to the best of our knowledge, it is the first realistic model to self-wire an artificial neuronal network by efficiently combining neuroscience with artificial self-organization. Although there is no evidence yet of the model's connectivity mapping onto the human connectivity, we anticipate this model will help neuroscientists to learn much more about human neuronal networks, and could also be used for predicting hypotheses to lead future experiments

SEAGENT MAS platform development environment

Agreement Technologies (AT);BAE Systems;et al.;IEEE FIPA;Lost Wax;Microsoft Research7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008 -- 12 May 2008 through 16 May 2008 -- Estoril -- 105064[No abstract available

WeDGeM: A domain-specific evaluation dataset generator for multilingual entity linking systems

18th International Conference on Web Information Systems Engineering, WISE 2017 -- 7 October 2017 through 11 October 2017 -- 200069Entity Linking is the task to annotate ambiguous mentions in an unstructured text to the referent entities in the given knowledge base. To evaluate these approaches, there are a vast amount of general purpose benchmark datasets. However, it is difficult to evaluate domain-specific Entity Linking approaches due to lack of evaluation datasets for specific domains. This study presents a tool called WeDGeM as a multilingual evaluation set generator for specific domains using Wikipedia and DBpedia. Wikipedia category pages and DBpedia taxonomy are used for adjusting domain-specific annotated text generation. Wikipedia disambiguation pages are applied to determine the ambiguity level of the generated texts. Based on these texts, a use case for well-known Entity Linking systems supporting English and Turkish texts are evaluated in the movie domain. © 2017, Springer International Publishing AG

Adaptability patterns of multi-agent organizations

4th International Workshop on Engineering Societies in Agent World (ESAW 2003) -- OCT 29-31, 2003 -- London, ENGLANDWOS: 000222847300014A multi-agent organization operating in an open environment has to adapt itself at run-time when the global knowledge of the organization changes unpredictably at run-time. In this paper this problem is named as organizational adaptability and two new patterns called as Ontology Perception and Society Merging are introduced to provide generic and reusable organizational solutions to this problem. Each pattern first defines a unique situation that causes a change in the organizational global knowledge then models the organizations' behavior in terms of responsibilities and collaboration of participating agents to solve this problem.Univ Degli Studi Bologna, Polo Sci Didatt Cesens,, Imperial Coll London, Austrian Soc Artifical Intelligence, Whitestein Techno

Reseagent: A refactoring tool for plan level refactoring in mas development

University of Turin;Fondazione Cassa di Risparmio di Torino (CRT);AIIA;Agreement Technologies;Educatorio della Provvidenza (EdP)2nd Multi-Agent Logics, Languages, and Organisations Federated Workshops, MALLOW 2009 -- 7 September 2009 through 10 September 2009 -- Turin -- 99795The need for XP-like agile approaches that facilitate flexible evolutionary development has been widely acknowledged in the AOSE area. Such approaches improve acceptability of agent-technology by the industry. Evolutionary development of multi agent systems-MASs can only be applied successfully, if designs of the MASs being developed are improved throughout the development process.In our previous work, we have defined a refactoring approach that makes evolutionary MAS development possible. In this paper, we mainly aim to identify a development approach for MAS refactoring tools. In order to discuss this approach, we developed a refactoring tool called ReSeagent on the Seagent framework. Although the ReSeagent tool supports plan level refactoring patterns that are to be manually applied by the developers, ideas used in the implementation of this tool are generic ideas that provide a base for different refactoring types and development artifacts