Cooperation is the process of synchronization and exchanging useful knowledge between agents in multiagentsystems. Since cooperation associates agents into a collaborative team to reach the overall goals of the syste...
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ISBN:
(纸本)9781424433292
Cooperation is the process of synchronization and exchanging useful knowledge between agents in multiagentsystems. Since cooperation associates agents into a collaborative team to reach the overall goals of the systems, it is a crucial requirement for creating intelligent multiagentsystems. This paper presents an approach for building complex cooperation protocols from simple primitives called collective operations. Collective operations are implemented in a new agent oriented programming language named Yaccai. The syntax and semantics of collective operations are designed to be effective for description of cooperation protocols while maintaining the autonomous computational model of agents. Our experiment shows that, collective operations are flexible building blocks for realization of cooperative multiagentsystems.
We are concerned with the problem of defining a complex, hybrid, agent based discrete system in a modular way. The modularity results from looking Lit the system front a number of different perspectives. each dealing ...
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We are concerned with the problem of defining a complex, hybrid, agent based discrete system in a modular way. The modularity results from looking Lit the system front a number of different perspectives. each dealing with a specific aspect of the system. As a Solution a synchronization operator is proposed which glues agent aware systems on shared agents and transitions. The construction turns Out to be a categorical product. We also show that a logic to talk about the temporal and the structural properties of the product can be obtained by gluing suitable logical frameworks from the components.
Traditional particle swarm optimization (PSO) algorithm is combined with multi-agent system (MAS), so the particles are upgraded to intelligent agents, which are more autonomous and smart. Secondly, Evolutionary Progr...
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ISBN:
(纸本)9780769533117
Traditional particle swarm optimization (PSO) algorithm is combined with multi-agent system (MAS), so the particles are upgraded to intelligent agents, which are more autonomous and smart. Secondly, Evolutionary programming (EP) is integrated into agents to improve the search capability of standard PSO particles by altering their intrinsic tendency of moving to global best position. Thirdly, an adaptive mechanism is proposed to lessen Vmax's impact over algorithm performance, so that the algorithm becomes more feasible. Finally, the enhanced algorithm is applied in the optimization problem of complex functions of high dimension and satisfied results are achieved.
The organization metaphor is often used in the design and implementation of multiagentsystems. However, few agentprogramming languages provide facilities to define them. Several frameworks are proposed to coordinate...
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This article studies a semantics of multiple logic programs, and synthesizes a program having such a collective semantics. More precisely, the following two problems are considered: given two logic programs P-1 and P-...
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This article studies a semantics of multiple logic programs, and synthesizes a program having such a collective semantics. More precisely, the following two problems are considered: given two logic programs P-1 and P-2, which have the collections of answer sets AS(P-1) and AS(P-2), respectively;(i) find a program Q which has the set of answer sets such that AS(Q) = AS(P-1). AS(P2);(ii) find a program R which has the set of answer sets such that AS(R) = AS(P1) boolean AND AS(P2). A program Q satisfying the condition (i) is called generous coordination of P-1 and P-2;and R satisfying (ii) is called rigorous coordination of P-1 and P-2. Generous coordination retains all of the answer sets of each program, but permits the introduction of additional answer sets of the other program. By contrast, rigorous coordination forces each program to give up some answer sets, but the result remains within the original answer sets for each program. Coordination provides a program that reflects the meaning of two or more programs. We provide methods for constructing these two types of coordination and address its application to logic-based multi-agentsystems.
multi-agent system programming is a software paradigm in which the code is made out of agents, independent and autonomous elements interacting each others to solve given high level goals that, otherwise, could not be ...
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In this work we present the design and implementation of a multi-agent environment for serving proof explanations in the Semantic Web. The system allows users or agents to issue queries, on a given RDF& rules know...
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ISBN:
(纸本)9783540878803
In this work we present the design and implementation of a multi-agent environment for serving proof explanations in the Semantic Web. The system allows users or agents to issue queries, on a given RDF& rules knowledge base and automatically produces proof explanations for answers produced by a popular programming system (JENA), by interpreting the output from the proof's trace and converting it into a meaningful representation. It also supports an XML representation (a R2ML language extension) for agent communication, which is a common scenario in the Semantic Web. The system in essence implements a proof layer for rules on the Semantic Web empowering trust between agents and users.
In recent years, the declarative programming philosophy has had a visible impact oil new emerging disciplines, such as heterogeneous multi-agentsystems and flexible business processes. We address the problem of forma...
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ISBN:
(纸本)9783540899815
In recent years, the declarative programming philosophy has had a visible impact oil new emerging disciplines, such as heterogeneous multi-agentsystems and flexible business processes. We address the problem of forma;verification for systems specified using declarative languages, focusing in particular on the Business Process Management field. We propose a verification method based on the g-SCIFF abductive logic programming proof procedure and evaluate our method empirically, by comparing its performance with that of other verification frameworks.
multiagentsystems have been proposed in the literature as a suitable architectural and implementation approach for cross-enterprise collaboration, due to their support for decentral decision-making and peer-to-peer c...
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ISBN:
(纸本)9783540790426
multiagentsystems have been proposed in the literature as a suitable architectural and implementation approach for cross-enterprise collaboration, due to their support for decentral decision-making and peer-to-peer coordination, loosely coupled interaction, modeling support for the notion of electronic institutions, and built-in adaptability mechanisms. While we agree with this general view, we argue that different application domain and different market constellations require different types of architecture. In this paper we look at the specific problem of selecting an information and communication technology (ICT) architecture for cross-enterprise business process (CBP) design and enactment. Therefore we identify three important architectural patterns for CBP enactment. We then propose a decision method for architecture selection based on the analytic hierarchy process (AHP) approach. Finally we illustrate the method by applying it to two application scenarios with differing characteristics. Robustness of the decision method is analyzed by performing a sensitivity analysis.
agent-oriented programming languages have gone a long way in the level of sophistication offered to programmers, and there has also been much progress in tools to support multi-agentsystems development using such lan...
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ISBN:
(纸本)9783540775638
agent-oriented programming languages have gone a long way in the level of sophistication offered to programmers, and there has also been much progress in tools to support multi-agentsystems development using such languages. However, much work is still required in mechanisms that can reduce the burden, typically placed on programmers, of ensuring that agents behave rationally, hence being effective and as efficient as possible. One such mechanisms is reasoning about declarative goals, which is increasingly appearing in the agents literature;it allows agents to make better use of resources, to avoid plans hindering the execution of other plans, and to be able to take advantage of opportunities for reducing the number of plans that have to be executed to achieve certain combinations of goals. In this paper, we introduce a Petri-net based approach to such reasoning, and we report on experimental results showing that this technique can obtain comparable improvements on an agent's behaviour to other existing approaches (our experiments do not yet cover reasoning about resource usage). Our long-term goal is to provide a number of alternative approaches for such reasoning, evaluate and compare their performances under different configurations, and incorporate them into interpreters for agent-oriented programming languages in such a way that the most appropriate approach is used at given circumstances.
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