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agent-oriented programming in defence domain

DEFENCE SCIENCE JOURNAL 2003年第3期53卷 267-273页

作者： Doiphode, S Res & Dev Estab Engn Pune 411015 Maharashtra India

Research in distributed artificial intelligence has given rise to agent-oriented programming (AOP), an advanced software modelling paradigm. It has several benefits when compared with the existing development approaches, in particular, the ability to let agents represent high-level abstractions of active entities in a software system. Although still young and under evolution, this paradigm has already shown particular promise in a number of areas. This paper gives an overview of this paradigm, its benefits over the other conventional programming paradigms being used. It also proposes the decision support system model for the military domain. In the proposed system there are certain critical issues, which need to be focused upon, The existing conventional paradigms are inadequate to deal with these issues. This paper identifies these critical issues and discusses how AOP can address these issues.

关键词： agent-oriented programming distributed artificial intelligence artificial intelligence decision support system object-oriented programming JAVA intelligent agents mobile agents BDI agent

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agent-oriented programming for Client-Side Concurrent Web 2.0 Applications 1

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5th International Conference on Web Information Systems and Technologies

作者： Minotti, Mattia Piancastelli, Giulio Ricci, Alessandro Univ Bologna DEIS I-40126 Bologna Italy

ISBN: (数字)9783642124365

ISBN: (纸本)9783642124358

Using the event-driven programming style of JavaScript to develop the concurrent and highly interactive client-side of Web 2.0 applications is showing more and more shortcomings in terms of engineering properties such as reusability and maintainability. Additional libraries, frameworks, and AJAX techniques do not help reduce the gap between the single-threaded Java Script model and the concurrency needs of applications. We propose to exploit a different programming model based on a new agent-oriented abstraction layer, where first-class entities namely agents and artifacts can be used, respectively, to capture concurrency of activities and their interaction, and to represent tools and resources used by agents during their activities. We specialise the model in the context of client-side Web development, by characterising common domain agents and artifacts that form an extension of an existing programming framework. Finally, we design and implement a simple but significant case study to showcase the capabilities of the model and verify the feasibility of the technology.

关键词： Concurrent programming agent-oriented programming Web 2.0

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Organization-based agent-oriented programming： model, mechanisms, and language

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Frontiers of Computer Science 2014年第1期8卷 33-51页

作者： Cuiyun HU Xinjun MAO Mengjun LI Zhi ZHU Information Science and Technology Institute Zhengzhou 450000 China College of Computer National University of Defense Technology Changsha 410073 China State Key Laboratory of Software Development Environment Beihang University Beijing 100191 China

An increasing number of social computational systems consist of a great amount of autonomous entities and operate in highly dynamic and unpredictable environments. To construct such systems needs to seek high-level abstrac- tion to manage the complexity of the systems and novel mechanism to support their characteristics, i.e., dynamism and flexibility. agent-oriented programming （AOP） is con- sidered as a potential paradigm for developing such systems by exhibiting a number of characteristics, such as autonomy, flexibility, social ability, etc. However, current researches on AOP mainly focus on the construction of multi-agent system （MAS） with theory and language facilities inspired from arti- ficial intelligence （AI） and distributed AI, seldom considering and integrating the proven principles and practices of pro- gramming and software engineering. Moreover, abstractions and mechanism based on AI are inadequate for developing dynamic and flexible MAS in open environment. This paper proposes a novel AOP approach, namely Oragent, for con- structing and implementing dynamic and flexible systems. From a software engineering perspective, Oragent integrates organizational concepts and mechanism into AOP language, and support the dynamism and flexibility with explicit prim- itives. The proposed approach consists of a programming model and a corresponding programming language. This paper presents the syntax and formal operational semanticsof Oragent language, and studies a case to demonstrate our approach.

关键词： agent agent-oriented programming organiza-tion-based programming role enactment role-based interac-tions organization abstraction

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JavaLog: a framework-based integration of Java and Prolog for agent-oriented programming

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COMPUTER LANGUAGES SYSTEMS & STRUCTURES 2005年第1期31卷 17-33页

作者： Amandi, A Campo, M Zunino, A UNICEN Univ Res Inst ISISTAN RA-7000 Buenos Aires DF Argentina

Intelligent agent development has imposed new challenges on the necessary language support. Object-oriented languages have been proposed as an appropriate tool, although logic-oriented languages are more adequate for managing mental attitudes. Mufti-paradigm languages supporting encapsulation of action, hiding of private knowledge and flexible manipulation of knowledge are, certainly, a Good alternative for programming agents. However, a unique language to support flexible and efficient development of mufti-agent systems confronts with the tradeoffs imposed by expressive power, efficiency and support technology. An alternative to conciliate these tradeoffs is not to think about a single language but an incrementally compatible family of agent-oriented mufti-paradigm languages. In this work we present an approach based on object-oriented framework technology for integrating object and logic paradigms in such a way that new language features can be incrementally added to the core language. This core language is based on logic modules integrated as object abstractions in the object paradigm. JavaLog is a materialization of this framework integrating Java and Prolog. This core was extended to provide mufti-threading support, mobility and temporal-logic operator to Prolog. MoviLog, the mobile part of the family provides a novel mobility mechanism, reactive mobility by failure. which enables virtual Prolog databases distributed across Web sites. (C) 2004 Elsevier Ltd. All rights reserved.

关键词： multi-paradigm languages logic programming object-oriented progamming agent-oriented programming object-oriented frameworks intelligent agents

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A survey of agent-oriented programming from software engineering perspective

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WEB INTELLIGENCE 2017年第2期15卷 143-163页

作者： Mao, Xinjun Wang, Qiuzhen Yang, Sen Natl Univ Def Technol Coll Comp Changsha 410073 Hunan Peoples R China

agent-oriented programming (AOP) represents a novel programming paradigm that adopts concepts and technologies of multi-agent system to implement software. It has gained great attentions of researchers and practitioners from both artificial intelligence field and software engineering field. Dozens of AOP languages have been proposed in the past two decades. However the acceptance and adoption of AOP in software engineering community remain limited and the current practices of applying AOP do not convince such paradigm has extensively exploited its technical advantages and potentials. The experiences and practices of programming language researches in software engineering field can give us some inspirations to get out of the dilemma. The paper aims at providing a survey of AOP from software engineering perspectives, including its research history and the state-of-the-art of researches on agent-oriented programming concepts and models, languages, CASE tools and running manners. We investigate how current AOP studies satisfy design principles of programming language like simplicity, regularity, maintainability, expressiveness, reliability and efficiency, discuss several challenges of AOP researches and practices, and point out some directions for future studies.

关键词： Multi-agent system agent-oriented programming software engineering

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Proving BDI properties of agent-oriented programming languages - The asymmetry thesis principles in agentSpeak(L)

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ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE 2004年第1-3期42卷 197-226页

作者： Bordini, RH Moreira, AF Univ Liverpool Dept Comp Sci Liverpool L69 7ZF Merseyside England Univ Fed Rio Grande do Sul Dept Informat Teor Inst Informat BR-91501970 Porto Alegre RS Brazil

In this paper, we consider each of the nine BDI principles defined by Rao and Georgeff based on Bratman's asymmetry thesis, and we verify which ones are satisfied by Rao's agentSpeak(L), a logic programming language inspired by the BDI architecture for cognitive agents. In order to set the grounds for the proofs, we first introduce a rigorous way in which to define the informational, motivational, and deliberative modalities of BDI logics for agentSpeak( L) agents, according to its structural operational semantics that we introduced in a recent paper. This computationally grounded semantics for the BDI modalities forms the basis of a framework that can be used to further investigate BDI properties of agentSpeak( L) agents, and contributes towards establishing firm theoretical grounds for a BDI approach to agent-oriented programming.

关键词： distributed artificial intelligence BDI logics agent-oriented programming structural operational semantics asymmetry thesis principles

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A Scripting Language for Practical agent-oriented programming 8

A Scripting Language for Practical Agent-Oriented Programmin...

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8th ACM SIGPLAN International Workshop on programming Based on Actors, agents, and Decentralized Control (AGERE)

作者： Bergenti, Federico Monica, Stefania Petrosino, Giuseppe Univ Parma Parma Italy

ISBN: (纸本)9781450360661

This paper describes the features of a scripting language proposed to support the practical implementation of agents and multi-agent systems using an agent-oriented programming approach. agents are programmed in terms of procedures to be executed when interesting events occur, and the language provides specific constructs to describe managed events and related procedures. Among possible events, those related to communication are supported by specific constructs because of their relevance for the implementation of multi-agent systems. The proposed language is characterised by a strongly expressive syntax largely inspired by modern scripting languages to promote readability and to make agent programs similar to pseudocodes. Such a feature ensures that the programmer can use the language to describe the reactions of agents to events at a high level of abstraction, with all the advantages that it brings in terms of software quality.

关键词： agent-oriented programming software agents distributed programming languages scripting languages

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Conflicting Goals in agent-oriented programming 6

Conflicting Goals in Agent-Oriented Programming

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6th International Workshop on programming Based on Actors, agents, and Decentralized Control (AGERE)

作者： Zatelli, Maicon Rafael Huebner, Jomi Fred Ricci, Alessandro Bordini, Rafael H. Univ Fed Santa Catarina DAS Florianopolis SC Brazil Univ Bologna DISI I-40126 Bologna Italy Pontificia Univ Catolica Rio Grande do Sul FACIN Porto Alegre RS Brazil

ISBN: (纸本)9781450346399

An important feature of goal-oriented programming languages is that agents are able to easily pursue multiple goals concurrently. However, there is an issue when some concurrent goals may conflict with others. Pursuing conflicting goals concurrently can lead an agent to undesirable behavior, in which case pursuing them concurrently should be avoided. In this paper, we address some such problems ranging from how to specify conflicts among goals to handling conflicts at run-time when they are detected.

关键词： agent-oriented programming Concurrency Intentions Goals Plans Conflicts Interferences

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On using Theorem Proving for Cognitive agent-oriented programming 13

On using Theorem Proving for Cognitive Agent-oriented Progra...

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13th International Conference on agents and Artificial Intelligence (ICAART)

作者： Jensen, Alexander Birch Hindriks, Koen, V Villadsen, Jorgen Tech Univ Denmark Dept Appl Math & Comp Sci DTU Compute Richard Petersens PladsBldg 324 DK-2800 Lyngby Denmark Vrije Univ VU Amsterdam Social AI Grp Boelelaan 1111 NL-1081 HV Amsterdam Netherlands

ISBN: (纸本)9789897584848

Demonstrating reliability of cognitive multi-agent systems is of key importance. There has been an extensive amount of work on logics for verifying cognitive agents but it has remained mostly theoretical. Cognitive agent-oriented programming languages provide the tools for compact representation of complex decision making mechanisms, which offers an opportunity for applying a theorem proving approach. We base our work on the belief that theorem proving can add to the currently available approaches for providing assurance for cognitive multi-agent systems. However, a practical approach using theorem proving is missing. We explore the use of proof assistants to make verifying cognitive multi-agent systems more practical.

关键词： agent-oriented programming Cognitive Multi-agent Systems Software Reliability Proof Assistants

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An Approach of Temporal Difference Learning Using agent-oriented programming 20

An Approach of Temporal Difference Learning Using Agent-Orie...

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20th International Conference on System Controls and Computer Science 2015

作者： Badica, Amelia Badica, Costin Ivanovic, Mirjana Mitrovic, Dejan Univ Craiova Craiova Romania Fac Sci Novi Sad Serbia

ISBN: (纸本)9781479917808

Reinforcement Learning - RL is an important agent problem that was not approached using the tools provided by agent oriented programming - AOP. agentSpeak(L) and its Jason implementation based on Java platform are representing state-of-the-art approaches of AOP based on the Belief-Desire-Intention - BDI model. Temporal Difference Learning - TDL is a passive RL method that can be used by an agent to learn its utility function while it is acting according to a given policy in an uncertain and dynamic environment. In this paper we present an approach for modeling and implementation of TDL using the Jason AOP language. So, our paper is presenting a contribution towards narrowing the gap between RL and AOP, by endowing BDI agents with TDL skills.

关键词： agent-oriented programming reinforcement learning object oriented programming learning (artificial intelligence) aspect-oriented programming transistor diode logic agents Learning Utility functions Java platform

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