Amal El Fallah Seghrouchni

Bio: Amal El Fallah Seghrouchni is an academic researcher from University of Paris. The author has contributed to research in topics: Multi-agent system & Ambient intelligence. The author has an hindex of 14, co-authored 104 publications receiving 1486 citations. Previous affiliations of Amal El Fallah Seghrouchni include Federal University of São Paulo & Pierre-and-Marie-Curie University.

Multi-Agent Programming: Languages, Tools and Applications

Abstract: Multi-Agent Systems are a promising technology to develop the next generation open distributed complex software systems. The main focus of the research community has been on the development of concepts (concerning both mental and social attitudes), architectures, techniques, and general approaches to the analysis and specification of multi-agent systems. This contribution has been fragmented, without any clear way of 'putting it all together', rendering it inaccessible to students and young researchers, non-experts, and practitioners. Successful multi-agent systems development is guaranteed only if we can bridge the gap from analysis and design to effective implementation. "Multi-Agent Programming: Languages, Tools and Applications" presents a number of mature and influential multi-agent programming languages, platforms, development tools and methodologies, and realistic applications, summarizing the state of the art in an accessible manner for professionals and computer science students at all levels.

Multi-Agent Programming:

Abstract: ion keeping the agent abstraction level e.g. no agents sharing and calling OO objects effective programming models for controllable and observable computational entities Modularity away from the monolithic and centralised view Orthogonality wrt agent models, architectures, platforms support for heterogeneous systems

Open protocol design for complex interactions in multi-agent systems

Abstract: This paper proposes a generic approach or protocol engineering through the analysis,the specification,and the verification of such protocols when several agents are involved. This approach is three folds:1)Starting from semi-formal specification by means o Protocol Diagrams (AUML),both formal specification of interaction protocols and their verification are allowed thanks to Colored Petri Nets (CPN);2) Debugging and qualitative analysis o interactions are based on distributed observation associated with the true concurrency semantics (i.e.CPN unfolding)and ;3)CPN formalism is extended to Recursive CPN (RCPN)with abstraction in order to deal with open protocols.The main interest of abstraction is the design of fexible protocols giving agents more autonomy during interaction.In addition,abstraction allows concise modeling and easier verification. measures,performance measures .

A Recursive Model for Distributed Planning

Abstract: Distributed planning is fundamental to the generation of cooperative activities in Multi-Agent Systems. It requires both an adequate plan representation and efficient interacting methods allowing agents to coordinate their plans. This paper proposes a recursive model for the representation and the handling of plans by means of Recursive Petri Nets (RPN) which support the specification of concurrent activities, reasoning about simultaneous actions and continuous processes, a theory of verification and mechanisms of transformation (e.g. abstraction, refinement, merging) . The main features of the RPN formalism are domain independence, broad coverage of interacting situations and operational coordination. This paper also provides an approach to the interleaving of execution and planning which is based on the RPN semantics and gives some significant methods allowing plan management in distributed planning. It goes on to show how this approach can be used to coordinate agents' plans in a shared and dynamic environment.

A Context-Aware Multi-Agent System as a Middleware for Ambient Intelligence

Abstract: There is currently a lot of work in Ambient Intelligence--or AmI--reporting on specific scenarios, or on implementations of particular cases. In the same time, there is a common agreement of the fact that AmI applications should be pervasive, covering a large number of devices, assisting a large number of people, and serving a large number of purposes. In an attempt to achieve scalable scenarios and implementations, we have focused our research on the development of a generic middleware layer for the context-aware transfer and exchange of information between devices. This paper presents a model for a such middleware, based on software agents, in which context-awareness is implemented both in the agent's representation of context information, and in the logical topology of the agent system. The model is oriented towards decentralization of the system and relies mostly on local behavior. The paper also reports on several proof-of-concept applications that have been developed and tested using the proposed model, proving thus the validity of the approach.

The Uses Of Argument

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Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)

Abstract: Preface. 1 Introduction. 1.1 Autonomous Agents. 1.2 Characteristics of Agents. 1.3 Multi-Agent Systems. 1.4 Hello World! 2 The BDI Agent Model. 2.1 Agent-Oriented Programming. 2.2 Practical Reasoning. 2.3 A Computational Model of BDI Practical Reasoning. 2.4 The Procedural Reasoning System. 2.5 Agent Communication. 3 The Jason Agent Programming Language. 3.1 Beliefs. 3.2 Goals. 3.3 Plans. 3.4 Example: A Complete Agent Program. 3.5 Exercises. 4 Jason Interpreter. 4.1 The Reasoning Cycle. 4.2 Plan Failure. 4.3 Interpreter Configuration and Execution Modes. 4.4 Pre-Defined Plan Annotations. 4.5 Exercises. 5 Environments. 5.1 Support for Defining Simulated Environments. 5.2 Example: Running a System of Multiple Situated Agents. 5.3 Exercises. 6 Communication and Interaction. 6.1 Available Performatives. 6.2 Informal Semantics of Receiving Messages. 6.3 Example: Contract Net Protocol. 6.4 Exercises. 7 User-Defined Components. 7.1 Defining New Internal Actions. 7.2 Customising the Agent Class. 7.3 Customising the Overall Architecture. 7.4 Customising the Belief Base. 7.5 Pre-Processing Directives. 7.6 Exercises. 8 Advanced Goal-Based Programming. 8.1 BDI Programming. 8.2 Declarative (Achievement) Goal Patterns. 8.3 Commitment Strategy Patterns. 8.4 Other Useful Patterns. 8.5 Pre-Processing Directives for Plan Patterns. 9 Case Studies. 9.1 Case Study I: Gold Miners. 9.2 Case Study II: Electronic Bookstore. 10 Formal Semantics. 10.1 Semantic Rules. 10.2 Semantics of Message Exchange in a Multi-Agent System. 10.3 Semantic Rules for Receiving Messages. 10.4 Semantics of the BDI Modalities for AgentSpeak. 11 Conclusions. 11.1 Jason and Agent-Oriented Programming. 11.2 Ongoing Work and Related Research. 11.3 General Advice on Programming Style and Practice. A Reference Guide. A.1 EBNF for the Agent Language. A.2 EBNF for the Multi-Agent Systems Language. A.3 Standard Internal Actions. A.4 Pre-Defined Annotations. A.5 Pre-Processing Directives. A.6 Interpreter Configuration. Bibliography.

Automated Planning: Theory and Practice.

Abstract: A translation apparatus is provided which comprises: an inputting section for inputting a source document in a natural language; a layout analyzing section for analyzing layout information including cascade information, itemization information, numbered itemization information, labeled itemization information and separator line information in the source document inputted by the inputting section and specifying a translation range on the basis of the layout information; a translation processing section for translating a source document text in the specified translation range into a second language; and an outputting section for outputting a translated text provided by the translation processing section.

Agent-based systems for manufacturing

Abstract: The emerging paradigm of agent-based computation has revolutionized the building of intelligent and decentralized systems. The new technologies met well the requirements in all domains of manufacturing where problems of uncertainty and temporal dynamics, information sharing and distributed operation, or coordination and cooperation of autonomous entities had to be tackled. In the paper software agents and multi-agent systems are introduced and through a comprehensive survey, their potential manufacturing applications are outlined. Special emphasis is laid on methodological issues and deployed industrial systems. After discussing open issues and strategic research directions, we conclude that the evolution of agent technologies and manufacturing will probably proceed hand in hand. The former can receive real challenges from the latter, which, in turn, will have more and more benefits in applying agent technologies, presumably together with well-established or emerging approaches of other disciplines.