50,730 research outputs found
Designing and Implementing Embodied Agents: Learning from Experience
In this paper, we provide an overview of part of our experience in designing and implementing some of the embodied agents and talking faces that we have used for our research into human computer interaction. We focus on the techniques that were used and evaluate this with respect to the purpose that the agents and faces were to serve and the costs involved in producing and maintaining the software. We discuss the function of this research and development in relation to the educational programme of our graduate students
Policy-driven planning in coalitions - A case study
(c)IFAAMASPeer reviewedPostprin
Augmenting Agent Platforms to Facilitate Conversation Reasoning
Within Multi Agent Systems, communication by means of Agent Communication
Languages (ACLs) has a key role to play in the co-operation, co-ordination and
knowledge-sharing between agents. Despite this, complex reasoning about agent
messaging, and specifically about conversations between agents, tends not to
have widespread support amongst general-purpose agent programming languages.
ACRE (Agent Communication Reasoning Engine) aims to complement the existing
logical reasoning capabilities of agent programming languages with the
capability of reasoning about complex interaction protocols in order to
facilitate conversations between agents. This paper outlines the aims of the
ACRE project and gives details of the functioning of a prototype implementation
within the Agent Factory multi agent framework
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mPower: A component-based development framework for multi-agent systems to support business processes
One of the obstacles preventing the widespread adoption of multi-agent systems in industry is the difficulty of implementing heterogeneous interactions among participating agents via asynchronous messages. This difficulty arises from the need to understand how to combine elements of various content languages, ontologies, and interaction protocols in order to construct meaningful and appropriate messages. In this paper mPower, a component-based layered framework for easing the development of multi-agent systems, is described, and the facility for customising the components for reuse in similar domains is explained. The framework builds on the JADE-LEAP platform, which provides a homogeneous layer over diverse operating systems and hardware devices, and allows ubiquitous deployment of applications built on multi-agent systems both in wired and wireless environments. The use of the framework to develop mPowermobile , a multi-agent system to support mobile workforces, is reported
Evorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time
Crowd-powered conversational assistants have been shown to be more robust
than automated systems, but do so at the cost of higher response latency and
monetary costs. A promising direction is to combine the two approaches for high
quality, low latency, and low cost solutions. In this paper, we introduce
Evorus, a crowd-powered conversational assistant built to automate itself over
time by (i) allowing new chatbots to be easily integrated to automate more
scenarios, (ii) reusing prior crowd answers, and (iii) learning to
automatically approve response candidates. Our 5-month-long deployment with 80
participants and 281 conversations shows that Evorus can automate itself
without compromising conversation quality. Crowd-AI architectures have long
been proposed as a way to reduce cost and latency for crowd-powered systems;
Evorus demonstrates how automation can be introduced successfully in a deployed
system. Its architecture allows future researchers to make further innovation
on the underlying automated components in the context of a deployed open domain
dialog system.Comment: 10 pages. To appear in the Proceedings of the Conference on Human
Factors in Computing Systems 2018 (CHI'18
An End-to-End Conversational Style Matching Agent
We present an end-to-end voice-based conversational agent that is able to
engage in naturalistic multi-turn dialogue and align with the interlocutor's
conversational style. The system uses a series of deep neural network
components for speech recognition, dialogue generation, prosodic analysis and
speech synthesis to generate language and prosodic expression with qualities
that match those of the user. We conducted a user study (N=30) in which
participants talked with the agent for 15 to 20 minutes, resulting in over 8
hours of natural interaction data. Users with high consideration conversational
styles reported the agent to be more trustworthy when it matched their
conversational style. Whereas, users with high involvement conversational
styles were indifferent. Finally, we provide design guidelines for multi-turn
dialogue interactions using conversational style adaptation
Motivations, Classification and Model Trial of Conversational Agents for Insurance Companies
Advances in artificial intelligence have renewed interest in conversational
agents. So-called chatbots have reached maturity for industrial applications.
German insurance companies are interested in improving their customer service
and digitizing their business processes. In this work we investigate the
potential use of conversational agents in insurance companies by determining
which classes of agents are of interest to insurance companies, finding
relevant use cases and requirements, and developing a prototype for an
exemplary insurance scenario. Based on this approach, we derive key findings
for conversational agent implementation in insurance companies.Comment: 12 pages, 6 figure, accepted for presentation at The International
Conference on Agents and Artificial Intelligence 2019 (ICAART 2019
mWater prototype #3 review
mWater is a software demonstrator developed in the Agreement Technologies Project. It
is a Multi-Agent System (MAS) application that implements a market for water rights,
including the model and simulation of the water-right market itself, the basin, users, protocols,
norms and grievance situations.
mWater is motivated due to the fact that water scarcity is becoming a major concern in
most countries, not only because it threatens the economic viability of current agricultural
practices, but because it is likely to alter an already precarious balance among its different
types of use.Garrido Tejero, A.; Botti Navarro, VJ.; Giret Boggino, AS.; Alfonso Espinosa, B.; Noriega, P. (2013). mWater prototype #3 review. http://hdl.handle.net/10251/3181
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