This paper concerns methodology for evaluating task-oriented personal assistants, where users perform a complex task that has objective success criteria, independent of personal preferences, and the agent provides suggestions to help users repeatedly ...

DIVAs is a generic multi-agent-based simulation framework (MABS) for the development of simulation systems. In DIVAs, agents are situated in an open environment that is partially perceived, and the environment is totally decoupled from agents. DIVAs ...

Deliberation over goals is a fundamental feature of intelligent agent systems. In this article we provide pragmatic but principled mechanisms for quantifying the level of completeness of goals in a belief-desire-intention (BDI) agent. Our approach ...

In this paper, we present a complete view of an agent-oriented software engineering methodology called agent systems engineering methodology (ASEME). Several parts of the methodology concerning different aspects of the whole development process have ...

SARL is a general-purpose agent-oriented programming language. This language aims at providing the fundamental abstractions for dealing with concurrency, distribution, interaction, decentralisation, reactivity, autonomy and dynamic reconfiguration that ...

With the explosion of the internet of things, it is critical to decide which connected devices can be used by an application in order to achieve its objectives, while maintaining user information privacy. In this paper we propose a solution for the ...

One of the BDI paradigm's major concerns is the lack of control over the agents' perceptions. Without having any form of goal-directed perceptions, agents may be flooded by irrelevant information thus causing an unjustified increase in processing time. ...

The language mechanisms protocol and role are used in order to organise the interaction structures between agents in multi-agent systems. Agents are internally organised by means of roles, roles are related as protocols, and agents send messages to each ...

There are many examples where large amounts of data might be potentially accessible to an agent, but the agent is constrained by the available budget since access to knowledge-bases is subject to fees. Also, there are several activities that an agent ...

We provide a detailed description of the Python-DTU system, including the overall system design and the tools used in the agent contest.

This paper presents the workings of the Flisvos-2016 multi-agent system that participated in the multi-agent programming contest MAPC 2016 of Clausthal TU.

Due to their immense complexity, large-scale multi-agent systems are often not amenable to exhaustive formal verification. Statistical approaches that focus on the verification of individual traces can provide an interesting alternative that circumvents ...

This paper contributes with a decentralised agent design for a microgrid that uses agent technology for avoiding dumping the excess of energy to a main powerline. The agent design is made with INGENIAS. The agents connect with a microgrid simulator, the ...

We present the 11th edition of the multi-agent programming contest, an annual, community-serving competition that attracts groups from all over the world. Our contest enables head-to-head comparison of multi-agent systems and supports educational ...

The 2016 edition of the multi-agent programming contest used the agents in the city as its new scenario, which consisted on the execution of various logistics tasks within a realistic city topology using a number of different vehicle types. The ...

We introduce the notion of 'aggregate plan', as a specification of the collective behaviour of a team of agents embedded in space. Aggregate plans are managed by self-organisation: they can be spread from a source agent, get iteratively diffused to the ...

Using purely agent-based platforms for any kind of simulation requires to address the following challenges: 1 scalability; 2 efficient memory management; 3 modelling. While dedicated professional simulation tools usually provide rich domain libraries ...

Various agent-based programming languages and frameworks have been proposed to support the development of autonomous agents and multi-agent systems. They have provided a valuable contribution to the identification and operationalisation of agent ...

In the past, different ways of integrating business processes and multi-agent systems have been proposed. Often, those approaches use restricted process models or target only single agents, and are thus not making full use of the expressive power of ...

This paper proposes a formal modelling for self-organising multi-agent systems SOMAS based on stepwise refinements, with the Event-B language and the temporal logic of actions TLA. This modelling allows to develop this kind of systems in a more ...