MABLE is a language for the design and automatic verification of multi-agent systems. MABLE is essentially a conventional im-perative programming language, enriched by constructs from the agent-oriented programming paradigm. A MABLE system con-tains a number of agents, programmed using the MABLE imper-ative programming language. Agents in MABLE have a mental state consisting of beliefs, desires and intentions. Agents commu-nicate using request and inform performatives, in the style of the FIPA agent communication language. MABLE systems may be augmented by the addition of formal claims about the system, ex-pressed using a quantified, linear temporal belief-desire-intention logic. MABLE has been fully implemented, and makes use of the SPIN m...
In this paper, we show that the flexible model-checking of multi-agent systems, implemented using ag...
In this paper, we present a new formal Method for the Verification of a Multi agents Systems (MAS). ...
International audienceWe present a novel semantics for the language of multi-agent only believing ex...
We present MABLE, a fully implemented programming language for multiagent systems, which is intended...
This paper gives an overview of our recent work on an approach to verifying multi-agent programs. We...
This paper introduces AgentSpeak(F), a variation of the BDI logic programming language AgentSpeak(L)...
The paper presents the method of model checking applied to verification of persuasive inter-agent co...
The paper presents the method of model checking applied to verification of persuasive inter-agent co...
The paper presents the method of model checking applied to verification of persuasive inter-agent co...
Abstract This paper gives an overview of our recent work on an approach to verifying multi-agent pro...
The paper presents an approach to verification of a multi-agent data analysis algorithm. We base cor...
© 2015 The Author(s)We present MCMAS, a model checker for the verification of multi-agent systems. M...
from traditional model checkers, MCMAS permits the automatic verification of specifications that use...
Multi-Agent Systems (MASs) are highly useful constructs in the context of real-world software applic...
A multi-agent system (MAS) is usually understood as a system composed of interacting autonomous agen...
In this paper, we show that the flexible model-checking of multi-agent systems, implemented using ag...
In this paper, we present a new formal Method for the Verification of a Multi agents Systems (MAS). ...
International audienceWe present a novel semantics for the language of multi-agent only believing ex...
We present MABLE, a fully implemented programming language for multiagent systems, which is intended...
This paper gives an overview of our recent work on an approach to verifying multi-agent programs. We...
This paper introduces AgentSpeak(F), a variation of the BDI logic programming language AgentSpeak(L)...
The paper presents the method of model checking applied to verification of persuasive inter-agent co...
The paper presents the method of model checking applied to verification of persuasive inter-agent co...
The paper presents the method of model checking applied to verification of persuasive inter-agent co...
Abstract This paper gives an overview of our recent work on an approach to verifying multi-agent pro...
The paper presents an approach to verification of a multi-agent data analysis algorithm. We base cor...
© 2015 The Author(s)We present MCMAS, a model checker for the verification of multi-agent systems. M...
from traditional model checkers, MCMAS permits the automatic verification of specifications that use...
Multi-Agent Systems (MASs) are highly useful constructs in the context of real-world software applic...
A multi-agent system (MAS) is usually understood as a system composed of interacting autonomous agen...
In this paper, we show that the flexible model-checking of multi-agent systems, implemented using ag...
In this paper, we present a new formal Method for the Verification of a Multi agents Systems (MAS). ...
International audienceWe present a novel semantics for the language of multi-agent only believing ex...