A multi-agent intelligent environment for medical knowledge

Vicari, Rosa María; Flores, Cecília Dias; Silvestre, André Meyer; Seixas, Louise; Ladeira, Marcelo; Coelho, Hélder

doi:10.1016/s0933-3657(03)00009-5

Cited by 46 publications

(23 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Based on the included studies in the review, the most commonly used technique is rulebased inference (Hsairi et al 2006;Gaertner and Toni 2007;Moraitis and Spanoudakis 2007;Yuan et al 2009;Obeid and Moubaiddin 2009;Caiquan et al 2010;Tannai et al 2011;Xiong et al 2012;Harvey et al 2007;Huang and Lin 2010;Janjua and Hussain 2012;Wardeh et al 2012;Rowe et al 2012;van der Weide et al 2011). However, there are other techniques that must not be ignored because they offer other alternatives to reason under uncertainty, such as fuzzy logic Hsairi et al 2010;Chow et al 2013;Wang and Luo 2010;Tao et al 2014;Bedi and Vashisth 2014) Vicari et al 2003), to reason based on similarity, such as CBR Aulinas et al 2012;), or to measure the benefit of a specific action using utility functions (Ge et al 2010).…”

Section: Agent Levelmentioning

confidence: 99%

A systematic review of argumentation techniques for multi-agent systems research

Carrera

Iglesias

2015

Artif Intell Rev

View full text Add to dashboard Cite

The ability to build arguments that express thoughts is crucial for intelligent interactions among human beings. Thus, argumentation techniques have been applied for years in fields, such as rhetoric or artificial intelligence. More specifically, the agents paradigm fits into the use of these types of techniques because agents shape a society in which they interact to make arrangements or to decide future actions. Those interactions can be modelled using argumentation techniques. Therefore, the application of those techniques in multi-agent systems is an interesting research field. However, no systematic review has been conducted previously, to the best of the authors' knowledge, to provide an overview of argumentation techniques for multi-agent systems. This paper presents a systematic review of argumentation techniques for multi-agent systems research. The period of time that is included in this review is from 1998 to 2014. The objective of this review is to obtain an overview of the existing approaches and to study their impact on research and practice. The research method has been defined to identify relevant studies based on a predefined search strategy, and it is clearly defined to facilitate the reading of this paper. All of the included studies in this review have been analysed from two different points of view: the Application view and the Multi-Agent System view. A comprehensive analysis of the extracted data is provided in the paper, which is based on a set of research questions that are defined. The results of this review reveal suggestions for further research and practice. The argumentation technology is actually in a phase of internal enhancement and exploration. Moreover, the research interest in this topic has increased in the last years. Furthermore, several interesting findings are presented in the paper.

show abstract

Section: Agent Levelmentioning

confidence: 99%

A systematic review of argumentation techniques for multi-agent systems research

Carrera

Iglesias

2015

Artif Intell Rev

View full text Add to dashboard Cite

show abstract

“…This work has started with a very practical and concrete problem, which was how to model (and implement) the communication tasks of all agents Irom a real MAS: the AMPLIA system [13,8]. We have decided to use only standard languages and protocols to model and implement these tasks in order to allow reusability of the agent's knowledge and to allow an easier interoperation of AMPLIA with others intelligent learning systems.…”

Section: Motivationmentioning

confidence: 99%

Formal Analysis of the Communication of Probabilistic Knowledge

Gluz

Vicari

Flores

et al. 2006

IFIP International Federation for Information Processing

View full text Add to dashboard Cite

Abstract. This paper discusses questions about communication of probabilistic knowledge in the light of current theories of agent communication. It will argue that there is a semantic gap between these theories and research areas related to probabilistic knowledge representation and communication, that creates very serious theoretical problems if agents that reason probabilistically tiy to use the communication framework provided by these theories. The paper proposes a new formal model, which generalizes current agent communication flieories (at least the standard FIPA version of these theories) to handle probabilistic knowledge communication. We propose a new probabilistic logic as the basis for the model and new communication principles and communicative acts to support this kind of communication.

show abstract

“…Likewise, agents are becoming commonplace as they provide a useful abstraction that facilitates systems conceptualization. An example of use of agents in the medical area is the AMPLIA system (Vicari et al, 2003). In an ICU setting the Guardian system (Hayes-Roth et al, 1998) monitors and makes diagnoses of intensive-care patients.…”

Section: Previous Workmentioning

confidence: 99%