The paper presents a knowledge and belief representation system for multiple agents called MAKRS. MAKRS can represent and reason about multi-agent knowledge and belief as well as factual knowledge of the actual world....
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The paper presents a knowledge and belief representation system for multiple agents called MAKRS. MAKRS can represent and reason about multi-agent knowledge and belief as well as factual knowledge of the actual world. It can also process some axioms which are usually used to represent the characteristics of each agent's knowledge and belief. MAKRS can be used as a tool to construct knowledge bases for various applications where multiple agents co-exist, and some sample knowledge bases are constructed to demonstrate its usefulness and practicality.
This paper does three things. First, it proposes that each critical contingency in a power system be represented by a ''correction time'' (the time required to eliminate the violations produced by the ...
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This paper does three things. First, it proposes that each critical contingency in a power system be represented by a ''correction time'' (the time required to eliminate the violations produced by the contingency), rather than by a set of hard constraints. Second, it adds these correction times to an optimal power flow and decomposes the resulting problem into a number of smaller optimization problems. Third, it proposes a multi-agent technique for solving the smaller problems in parallel. The agents encapsulate traditional optimization algorithms as well as a new algorithm, called the voyager, that generates starting points for the traditional algorithms. All the agents communicate asynchronously, meaning that they can work in parallel without ever interrupting or delaying one another, The resulting scheme has potential for handling power system contingencies and other difficult global optimization problems.
This paper describes a reference architecture for a concurrent engineering environment. The architecture embeds applications in wrappers to treat the applications as individual reasoning agents. Embedded applications ...
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This paper describes a reference architecture for a concurrent engineering environment. The architecture embeds applications in wrappers to treat the applications as individual reasoning agents. Embedded applications have included planning, vision, simulation, and robotic control modules. These agents negotiate from various perspectives to arrive at globally acceptable solutions. The agents transmit information and negotiate using a canonical vocabulary based upon an international standard for data exchange. Because our implementation of the architecture explicitly considers real-world issues, such as heterogeneous systems, distributed processing, faults, meeting real-time deadlines, and communication delays, the implementation of architecture facilitates rapid transferral from laboratory experiments to field systems.
The increasing globalization of markets has raised the competitive pressure. The urge to adapt to rapidly changing conditions has forced many companies to introduce more flexible organizational forms. An adequate info...
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The increasing globalization of markets has raised the competitive pressure. The urge to adapt to rapidly changing conditions has forced many companies to introduce more flexible organizational forms. An adequate information management has to support these changes. One of the key success factors of a corporation will be the capability to perform high quality decision processes. The workbench TUB-MAGIC has been designed and implemented to support the development of distributed, intelligent decision support systems. They use intelligent agents to assist the decisionmaking process in complex situations. The concepts and the realization of TUB-MAGIC were tested by the development of the application MAGNIFICO. It has been implemented to support a cooperative general financial consulting process of a financial institution, e.g. banking corporations.
In this paper, we present the layered agent architecture INTERRAP which has been developed to cope with the basic requirements for Cooperative Intelligent Systems (CIS): agents shall behave in a situated, efficient, a...
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In this paper, we present the layered agent architecture INTERRAP which has been developed to cope with the basic requirements for Cooperative Intelligent Systems (CIS): agents shall behave in a situated, efficient, and goal-directed manner, and they shall be able to interact (ia.e. coordinate and collaborate) with other agents. Over the past few years, agent architectures combining reactive with deliberative facilities have become very trendy in DAI. However, most attempts end up at the local planning layer and fail to take into account important mechanisms for interaction and collaboration among agents. INTERRAP extends previous attempts to build layered architectures by a cooperation component which holds cooperation knowledge as well as a library of joint plans. The modules of the model and the flow of control among them are explained. The model is described and evaluated by the FORKS application, the simulation of an automated loading-dock.
Continuous state plants place specific demands on the structure and operation of multi-agent, multi-paradigm distributed intelligent controllers. A controller for a deep shaft mine winder is proposed. Its design demon...
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Preliminary study of neural network process models in scheduling production for glass coating operation (AIRCO process) has identified knowledge rich control strategies for reactive scheduling. Substantial progress in...
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ISBN:
(纸本)0444818146
Preliminary study of neural network process models in scheduling production for glass coating operation (AIRCO process) has identified knowledge rich control strategies for reactive scheduling. Substantial progress in the data engineering phase of the project has resulted in new insights into the knowledge acquisition requirements relevant to neural network design.
A computational organization theory is the articulation of an organization theory in the form of a computer program. We describe an example of this approach to studying organizational phenomena through the use of simu...
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A computational organization theory is the articulation of an organization theory in the form of a computer program. We describe an example of this approach to studying organizational phenomena through the use of simulated autonomous intelligent agents, present a detailed description of such a model, and demonstrate the application through a series of experiments conducted with the model. The model, called Plural‐Soar, represents a partial instantiation of a cognitively motivated theory that views organizational behavior as emergent behavior from the collective interaction of intelligent agents over time, and that causal interpretations of certain organizational phenomena must be based on theoretically sufficient models of individual deliberation. We examine the individual and collective behavior of the agents under varying conditions of agent capabilities defined by their communication and memory properties. Thirty separate simulations with homogeneous agent groups were run varying agent type, group size, and number of items in the order list an agent acquires. The goal of the simulation experiment was to examine how fundamental properties of individual coordination (communication and memory) affected individual and group productivity and coordination efforts under different task properties (group size and order size). The specific results indicate that the length of the item list enhances performance for one to three agent groups, but with larger groups memory effects dominate. Communication capabilities led to an increase in idle time and undesirable collective behavior. The general conclusion is that there are subtle and complex interactions between agent capabilities and task properties that can restrict the generality of the results, and that computational modeling can provide insight into those interactions.
distributed artificial intelligence (DAI) aims to solve problems using cooperation between real or abstract entities. The transition from artificialintelligence (AI) to distributed artificial intelligence poses the p...
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This paper explores the specification and semantics of multiagent problem-solving systems, focusing on the representations that agents have of each other. It provides a declarative representation for such systems. Sev...
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This paper explores the specification and semantics of multiagent problem-solving systems, focusing on the representations that agents have of each other. It provides a declarative representation for such systems. Several procedural solutions to a well-known test-bed problem are considered, and the requirements they impose on different agents are identified. A study of these requirements yields a representational scheme based on temporal logic for specifying the acting, perceiving, communicating, and reasoning abilities of computational agents. A formal semantics is provided for this scheme. The resulting representation is highly declarative, and useful for describing systems of agents solving problems reactively.
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