Cooperation matters, in daily life and in complex applications. After all, many tasks need more than a single agent to be effectively performed. Therefore, teamwork rules!
Teams are social groups of agents dedicated to the fulfilment of particular persistent tasks. In modern multiagent environments, heterogeneous teams often consist of autonomous software agents, various types of robots and human beings.
A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents. Multi-agent systems can be used to solve problems which are difficult or impossible for an individual agent or monolithic system to solve. Agent systems are open and extensible systems that allow for the deployment of autonomous and proactive software components. Multi-agent systems have been brought up and used in several application domains.
A practical agent programming language discusses the need for an eective and practical bdi based agent oriented programming language. It proposes an alternative by presenting the syn tax and semantics of a programming language, called 2apl (a practical agent programming language). This programming language facilitates the implementation of multi agent systems consisting of individual cognitive agents.
Business is one of the most diverse activities of mankind. Business operations typically handled by the business institutions such as companies, corporations, private ... but can also be active self of individuals.Business is the economic mode of operation conditions exist in the economy of goods, including the overall methods, forms and means by which economic agents to make use of its economic activity (including the process of investment, production, transportation, trade, services ...
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Khi được khởi chạy, Trojan sẽ sao chép chính bản thân file thực thi của nó vào vị trí sau: %System%\drivers\runtime.sys Để đảm bảo rằng Trojan sẽ khởi chạy mỗi khi hệ thống được bật, nó tạo một dịch vụ hệ thống với tên gọi “Runtime”, dịch vụ này sẽ chạy file thực thi của Trojan mỗi khi Windows được tải.
The current control problems present natural trend of increasing its complexity due to
performance criteria that is becoming more sophisticated. The necessity of practicers
and engineers in dealing with complex dynamic systems has motivated the design of
controllers, whose structures are based on multiobjective constraints, knowledge from
expert, uncertainties, nonlinearities, parameters that vary with time, time delay
conditions, multivariable systems, and others.
Information Systems are the software and hardware systems that support dataintensive
applications. One of the most critical stages of an Information System
development cycle is the System Design stage. During this stage the architecture,
components, modules, interfaces and system data are defined and modeled in order to
fulfill the respective requirements that the developed Information System should
Multi agent systems involve a team of agents working together socially to accomplish a task. An agent can be social in many ways. One is when an agent helps others in solving complex problems. The field of multi agent systems investigates the process underlying distributed problem solving and designs some protocols and mechanisms involved in this process.
Formal specification of agent behaviour through environment scenarios introduces a formal notation for the specification of scenario s in agent based systems. The autonomous and collaborative behavior of an agent can be formally specified by a set of rules describing its activity in various scenarios. The power of the approach is illustrated by the formal specification of maes.
Committees were established to oversee SD efforts in four areas: stock positioning, air distribution, surface distribution, and financial management within the Defense Transportation System (DTS). These committees are led by senior officers from the DLA Defense Distribution Center (DDC), Air Force Air Mobility Command (AMC), TRANSCOM’s Military Surface Deployment and Distribution Command (MSDDC), and TRANSCOM, respectively. An executive agent, two co-directors,
While the notion of a cooperative response has been the focus of considerable research in natural language dialogue systems, there has been little empirical work demonstrating how such responses lead to more efficient, natural, or successful dialogues. This paper presents an experimental evaluation of two alternative response strategies in TOOT, a spoken dialogue agent that allows users to access train schedules stored on the web via a telephone conversation.
CommandTalk (Moore et al., 1997) is a spokenlanguage interface to the ModSAF battlefield simulator that allows simulation operators to generate and execute military exercises by creating forces and control measures, assigning missions to forces, and controlling the display (Ceranowicz, 1994). CommandTalk consists of independent, cooperating agents interacting through SRI's Open Agent Architecture (OAA) (Martin et al., 1998).
In this paper, we address this issue in providing just such an architectural framework by using the 3APL agent programming language as a starting point for identification and specification of more general individual agent components. This provides three additional benefits: it moves the work further down the road of implementation, contributes to a growing library of agent techniques and features, and allows a detailed comparison of different agent-based systems specified in similar ways.
Discovery of a new chemical entity that exerts pharmacological effects for
curing or treating diseases or relieving symptoms is only the first step in
the drug developmental process. In the developmental cycle of a new
drug, the delivery of a desired amount of a therapeutic agent to the target
at a specific time or duration is as important as its discovery. In order
to realize the optimal therapeutic outcomes, a delivery system should
be designed to achieve the optimal drug concentration at a predetermined
rate and at the desired location....
This demo presents LeXFlow, a workflow management system for crossfertilization of computational lexicons. Borrowing from techniques used in the domain of document workflows, we model the activity of lexicon management as a set of workflow types, where lexical entries move across agents in the process of being dynamically updated. A prototype of LeXFlow has been implemented with extensive use of XML technologies (XSLT, XPath, XForms, SVG) and open-source tools (Cocoon, Tomcat, MySQL).
We demonstrate one aspect of an affectextraction system for use in intelligent conversational agents. This aspect performs a degree of affective interpretation of some types of metaphorical utterance. of metaphor, with a signiﬁcant degree of linguistic open-endedness. Also, note that our overarching research aim is to study metaphor as such, not just how it arises in e-drama. This increases our need for systematic, open-ended methods.
This paper describes the NECA MNLG; a fully implemented Multimodal Natural Language Generation module. The MNLG is deployed as part of the NECA system which generates dialogues between animated agents. The generation module supports the seamless integration of full grammar rules, templates and canned text. The generator takes input which allows for the specification of syntactic, semantic and pragmatic constraints on the output.
This paper describes a self-learning software agent who collects and learns knowledge from the web and also exchanges her knowledge via dialogues with the users. The agent is built on top of information extraction, web mining, question answering and dialogue system technologies, and users can freely formulate their questions within the gossip domain and obtain the answers in multiple ways: textual response, graph-based visualization of the related concepts and speech output.
This paper presents PARADISE (PARAdigm for Dialogue System Evaluation), a general framework for evaluating spoken dialogue agents. The framework decouples task requirements from an agent's dialogue behaviors, supports comparisons among dialogue strategies, enables the calculation of performance over subdialogues and whole dialogues, specifies the relative contribution of various factors to performance, and makes it possible to compare agents performing different tasks by normalizing for task complexity. ...