G. Weiss. Multiagent Systems, volume 1. The MIT Press, Cambridge (Massachusetts), London (England), 1999.  Home/Search   Document Not in Database   Summary   Related Articles   Check

.... computing [4] Instead of modeling distributed systems as rigid programs exchanging data and commands, agent technology creates autonomous decision makers which communicate their preferences, negotiate sub goals, and coordinate their intentions in order to achieve individual or system goals [7,14]. This decision and interaction based approach to computing makes it possible to build systems that can dynamically react to unforeseen events, incorporate different preferences and attitudes, exploit different capabilities of components, and adapt flexibly to changes in the environment. The ....

....decision making, as well as sophisticated techniques for flexible interaction between autonomous agents. The interaction techniques developed cover aspects like coordination, negotiation, planning [7] distributed problem solving, distributed rational decision making, and multi agent learning [14]. The coordination and negotiation techniques are of particular relevance to manufacturing control because they enable agents to allocate scarce resources in real time. The advantages of agent technology have been widely recognized and have led to a wide range of applications [3] The domain of ....

G. Weiss (ed.): Multi-Agent Systems. MIT Press, Cambridge, MA, USA, 1999.

....of manipulating objects in the virtual environment, e.g. moving an object, pressing a button, or pulling a lever. 3. Approach We use existing knowledge, theories, and frameworks from different areas like intelligent tutoring systems [2] 15] computer graphics [11] and multi agent technology [17]. Software engineering plays a prominent role in the Jacob project. We apply object oriented techniques [3] design patterns [4] and software architecture knowledge [14] We are investigating how to design and build such a virtual reality system in a maintainable and adaptable way. For the ....

Weiss, G. (ed.): Multiagent Systems. The MIT Press (1999)

....match services and providers [9] The many possible application areas divide broadly into two areas matchmaking (e.g. matching services to clients, people connector) and search. The general topic lies within organizational concepts in multi agent systems and improving learning with communication [21]. The finding and remembering of appropriate, like minded agents can be centralized, left as a diffusion process or engineered in a computational ecology sense [5,4,9] In the agent domain, as in others, visualization is often seen as a separate application that one adds on to an application for ....

G. Weiss, editor. Multiagent Systems. MIT Press, 1999.

....single agent is insufficient. Many applications, if not most of them, require multiple agents, called also multiagent systems (MAS) In such systems, knowledge, action and control are distributed among the agents, which may cooperate, compete or coexist depending on the context. According to Weiss [1], there are two main reasons which drive forces behind the growth of the MAS field in recent years. The first is that multiagent systems have the capacity to play a key role in current and future computer science and its application. Modern computing platforms and information environments are ....

G. Weiss, Multiagent Systems, MIT Press, 1999, Ch. Prologue, pp. 1--23.

....for a goal directed activity, reflected in commitments. While beliefs are viewed as the agent s informational attitudes, desires or goals, intentions, and commitments refer to its motivational attitudes. When considering these collective notions, a concept of a group of agents is essential. In [35] a group is defined in the following way: A group or multiagent system is a system of agents that are somehow constrained in their mutual interactions. Typically, these constraints arise because the agents play different roles in the group, and their roles impose requirements on how they are to ....

....in their mutual interactions. Typically, these constraints arise because the agents play different roles in the group, and their roles impose requirements on how they are to behave and interact with others. This paper is concerned with a specific kind of group, namely a team, defined in [35] as follows: A team is a group in which the agents are restricted to having a common goal of some sort. Typically, team members cooperate and assist each other in achieving their common goal. Collective intention, as a specific joint mental attitude, is the central topic addressed in teamwork. ....

Weiss, G., Ed.: Multiagent Systems, MIT Press, Cambridge, MA, 1999.

....norms influence and determine the goals of individual agents whenever they are involved in the corresponding organization. Some formal properties of the relation between individual agents and their organizations is presented. 1 Introduction Software agents and in specific Multi agent systems [5, 6] are one of the most promising areas in the field of computer science. Software agents get some knowledge about the world in which they operate, such that they can solve most of the minor problems they encounter in operation by themselves, without intervention of the user. This has a large ....

G. Weiss, editor. Multiagent systems. MIT, 1999.

....modes in which the selection of who to ask is done. First the authoritarian mode in which an individual is told to do something. Second the negotiation mode in which individuals are asked to express an interest in doing something, a mode implemented using contract nets with focussed addressing [23]. When contact net bids are received, the successful bidder has to be identified. The use of a multi agent system to manage processes expands the range of feasible strategies for delegation from the authoritarian strategies described above to strategies based on negotiation between individuals. ....

Weiss, G. (Ed). (1999). Multi-agent systems. Cambridge, MA, USA: The MIT Press.

....Many applications, if not most of them, require multiple agents, called also multi agent systems (MAS) In such systems, knowledge, action and control are distributed among the agents, which may cooperate, compete or coexist depending on the context in which they operate. According to Weiss [1], there are two main reasons which drive forces behind the growth of the MAS paradigm in recent years. The first is that multi agent systems have the capacity to play a key role in current and future computer science and its application. Modern computing platforms and information environments are ....

G. Weiss, Multiagent Systems, MIT Press, 1999, Ch. Prologue, pp. 1--23.

....and implemented. Many applications, if not most of them, require multiple agents, called also multiagent systems (MAS) In such systems, knowledge, action and control are distributed among the agents, which may cooperate, compete or coexist depending on the context. MAS have shown to be relevant [5] for understanding, implementing and operating complex socio technical systems as represented for example by e business systems. In this paper we propose a model for multi item auctions which has a strong relationship to the efforts in building multiagent systems. Auctions have always been an ....

G. Weiss. Multiagent Systems, chapter Prologue, pages 1--23. MIT Press, 1999.

....for the past ten and more years. They have often been adopted as a metaphor to model autonomous entities capable of interacting and being part of organizations or societies. The idea of making them intelligent asked for the contribution of disciplines such as Arti cial Intelligence (AI) [16]. Logic based AI has been playing a foreground role in the MAS community since the very beginning, e.g. with the advent of the BDI model for agent beliefs, desires, and intentions [9] Recently, computational logic has started to make a relevant contribution to the development of MAS [10, 14] ....

G. Weiss. Multiagent Systems. MIT Press, 1999. 107 Appendix: More Examples Of Automated Auction: Dutch, Fpsb, And Vickrey Auctions An example of a Dutch auction is the following: tell( a, all, publish( auction( auction 2 ), items( f nail g ), protocol( dutch ),

....and because plans as shown there are assumed not to be aborted. 3. Reasoning The conceptual architecture of the process agents described here is a 3 layer, BDI hybrid architecture. As a hybrid architecture the process agent architecture exhibits both deliberative and reactive reasoning [Weiss, 1999]. Deliberative reasoning is managed within a belief goal planintention framework [Rao and Georgeff, 1995] Reactive reasoning is effected with triggers. Theses two forms of reasoning are balanced by giving reactive reasoning precedence over deliberative reasoning. That is, an attempt is made to ....

Weiss, G. (ed). Multi-Agent Systems. The MIT Press: Cambridge, MA (1999).

....and because plans as shown there are assumed not to be aborted. 3. Reasoning The conceptual architecture of the process agents described here is a 3 layer, BDI hybrid architecture. As a hybrid architecture the process agent architecture exhibits both deliberative and reactive reasoning [Weiss, 1999]. Deliberative reasoning is managed within a belief goal planintention framework [Rao and Georgeff, 1995] Reactive reasoning is effected with triggers. Theses two forms of reasoning are balanced by giving reactive reasoning precedence over deliberative reasoning. That is, an attempt is made to ....

Weiss, G. (ed). Multi-Agent Systems. The MIT Press: Cambridge, MA (1999).

....agents cooperate to perform context based retrieval on these collections of documents without knowing a priori the relationship between the di erent local contexts. 4 Towards context aware multi agent systems Multi agent systems (MAS) are a very promising technology for distributed systems (see (Weiss 1999) for a reference book on MAS) In a very broad sense, agents are autonomous, computational entities that can be viewed as perceiving their environment through sensors and acting upon their environment through e ectors. For example, in (Wooldridge Jennings 1995) an agent is de ned as a computer ....

Weiss, G., ed. (1999), Multiagent Systems, The MIT Press.

....criticism and re conceptualisation of the major pillar of MAS research, namely the very notion of MAS. The traditional concern of much of the MAS community has been with the design of relatively few computational artificial agents that need to be coordinated in order to accomplish a common goal [49]. Obtaining a systematic understanding of other forms of MASs, such as knowledge networks [35] or virtual organisations composed of an increasingly large number of human and artificial agents [7] or large business firms in which economic activity is undertaken through differentiation and ....

.... First, the MAS is seen as located in an environment from which it may be constrained and upon which it may impact 1 [52] Second, the generation and functioning of the MAS is modelled as motivated by a dependence network, namely a set of social dependence relations that hold among agents [17, 49]. Environment and dependence network are inherently intertwined with each other for the following reasons. First, changes in the environment (e.g. availability of resources) bring about changes in the ways the agents depend on one another. Second, the dependence network impacts back onto the ....

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Weiss G. (ed). (1999). Multiagent Systems. A Modern Approach to Distributed Artificial Intelligence, Cambridge, MA, The MIT Press.

....the distribution of consumer valuations are known by the rm. One exception studied the tradeo s between maximizing current pro ts (exploitation) and charging lower prices in early periods to learn more about the consumer population [BO94] Multiagent learning has become a popular research topic; [Wei99] contains a chapter summarizing recent work. VD98a] examines the problem of modeling other agents and discusses conditions under which this sort of modeling is useful. In this paper we use analytic methods to derive optimal prices under pricing schemes of varying complexity for a model with ....

Gerhard Weiss, editor. Multiagent Systems. MIT Press, Cambridge, MA, 1999.

....global view. From the point of view of multiagent interactions, organs and tissues exchanging is a very attractive issue. These transactions are the kind of situations where one can claim that agents are well suited as they require: reactivity, situatedness, social abilities and autonomy [15] [13]. Organs and tissues exchanging could be classified as Task Oriented Domain (TOD) In those domains agents s activity can be defined in terms of a set of tasks that it has to achieve [10] 3 From now on we will use the word pieces to designate organs or tissues or bones. Agents inside Carrel ....

G. Weiss, editor. Multiagent Systems. MIT Press, 1 st edition, 1999.

....these methods in our system MIA The Mobile Information Agent. The main intention of this paper is: 1) to show that it is already possible to implement ubiquitous web information systems. 2) that AI techniques are very suitable to solve the emerging problems. 2 The MIA System MIA is a multi agent [17] based information system focusing on the retrieval of short and precise facts from the web relevant to the current city a user is located at. MIA supports three different user types: 1) A mobile user equipped with a PDA, GPS and mobile phone. 2) A mobile user equipped with a WAP capable mobile ....

G. Weiss, editor. Multiagent Systems. MIT Press, 1999.

....these methods in our system MIA The Mobile Information Agent. The main intention of this paper is: 1) to show that it is already possible to implement ubiquitous web information systems. 2) that AI techniques are very suitable to solve the emerging problems. 2 The MIA System MIA is a multi agent [15] based information system focusing on the retrieval of short and precise facts from the web, at anytime with fast query response times. It monitors the position of the mobile users and autonomously updates the subject of search whenever necessary. Changes may occur when the user travels to a ....

G. Weiss, editor. Multiagent Systems. MIT Press, 1999.

....1.1 General 1.2 Intelligent Agents 1.3 Mathematical Description Overview 3 1 Introduction, Terminology 3 1 Chapter 1: Introduction and Terminology Multi Agent Systems (6 Lectures) Sept. 2000, Bahia Blanca 1. 1 General This lecture course is mainly based on Multi Agent Systems (Gerhard Weiss) MIT Press, June 1999. We describe general methods and techniques. 1.1 General 4 Chapter 1: Introduction and Terminology Multi Agent Systems (6 Lectures) Sept. 2000, Bahia Blanca Three Important Questions (Q1) What is an Agent (Q2) If some program P is not an agent, how can it be transformed into an agent (Q3) ....

Weiss, G. (Ed.) (1999). Multiagent Systems. MIT-Press.

....e.g. moving an object, pressing a button, or pulling a lever. 1. 3 Approach We have used existing knowledge, theories, and frameworks from different areas like intelligent tutoring systems [Bonar et al. 1986] Tekinerdogan Krammer, 1995] computer graphics, and multi agent technology [Weiss, 1999]. Software engineering plays a prominent role in the Jacob project. We apply object oriented techniques [Booch et al. 1999] design patterns [Gamma et al. 1995] and software architecture knowledge [Shaw Garlan, 1996] We are investigating how to design and build such a virtual reality system ....

Weiss, G. (ed.): Multiagent Systems. The MIT Press (1999)

....system described here extends that work to support emergent business process management and has been trialed on an application within a university administration. This system has been written in Java and uses virtual documents on the world wide web. The term agent has a wide range of meaning [8] in the research literature. The term agent is used here, following [9] in the sense that an agent is a computer system, situated in some environment, that is capable of flexible autonomous action in order to meet its design objectives and the term multi agent systems . is now used to ....

....of process constraints which may include time constraints. 5.1 Architecture for goal centred process The requirement for a distributed architecture that can cope naturally with failure is met with a multi agent architecture. A variety of architectures have been described for autonomous agents [8]. A fundamental distinction in intelligent agent architectures is the extent to which an architecture exhibits deliberative (feed forward, planning) reasoning and reactive (feed back) reasoning. If an agent architecture combines these two forms of reasoning it is called a hybrid architecture. One ....

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Weiss, G. (ed). Multi-Agent Systems. The MIT Press: Cambridge, MA.

....systems can easily be integrated into a larger multi agent based system, permitting incremental development of intelligent systems. Distributed problem solving with multi agents systems is appropriate only when agents in the system are capable of communicating and cooperating with each other [8][9][10] Due to the complexity of the systems invested by our research, multi agent based approach will be utilized in our designs. 2.5 Multi Agent Based Real Time Systems Real time systems present numerous challenges to a designer. They often have many stringent requirements on processing, timely ....

Gerhard Weiss. Multi Agent Systems. MIT Press. 1999.

....distribution of consumer valuations is known by the firm. One exception studied the tradeoffs between maximizing current profits (exploitation) and charging lower prices in early periods to learn more about the consumer population[BO94] Multiagent learning has become a popular research topic; [Wei99] contains a chapter summarizing recent work. VD98a] examines the problem of modeling other agents and discusses conditions under which this sort of modeling is useful. A similar problem is examined in [CM96] where opponent strategies in repeated games are represented as a finite state machine. ....

Gerhard Weiss, editor. Multiagent Systems. MIT Press, Cambridge, MA, 1999.

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Weiss, G., Multiagent Systems, The MIT Press, 1999.

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G. Weiss. Multiagent Systems, volume 1. The MIT Press, Cambridge (Massachusetts), London (England), 1999.

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Weiss, G. (ed.) (1999). Multiagent Systems. MIT Press

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G. Weiss (ed.). Multiagent Systems. MIT Press, 2000.

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Weiss, G. (ed.) Multiagent Systems. Cambridge, MA: MIT Press. 1999. 14

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G. Weiss (ed.). Multiagent Systems. MIT Press, 2000.

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G. Weiss (ed.). Multiagent Systems. MIT Press, 2000.

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G. Weiss. Multi-Agent Systems. MIT Press, Cambridge, MA, 1999.

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Weiss, G. (ed.) (1999). Multiagent Systems. MIT Press

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Gerhard Weiss (ed) "Multiagent Systems " The MIT Press 1999. ISBN: 0-262-23203-0

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G. Weiss, Multiagent systems, The MIT Press, Cambridge, 2001.

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G. Weiss, Multiagent systems, The MIT Press, Cambridge, 2001.

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G. Weiss (ed.). Multiagent Systems. MIT Press, 2000.

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G. Weiss, editor. Multiagent Systems. MIT Press, Cambridge, MA, 1999.

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G. Weiss, editor. Multiagent Systems. MIT Press, Cambridge, MA, 1999.

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Weiss, G., Ed. (1999). Multiagent Systems, Cambridge, MA: The MIT Press.

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Weiss G., ed. (1999), Multiagent Systems. A Modern Approach to Distributed Artificial Intelligence, MIT Press, Cambridge, Mass.

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Weiss G., ed. (1999), Multiagent Systems. A Modern Approach to Distributed Artificial Intelligence, MIT Press, Cambridge, Mass.

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G. Weiss, editor. Multiagent Systems. The MIT Press, Cambridge, MA, 1999.

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Weiss, G. (Ed.) (1999). Multiagent Systems. MIT-Press.

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Weiss, G. (Ed.) (1999). Multiagent Systems. MIT-Press.

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Weiss, G. (Ed.) (1999). Multiagent Systems. MIT-Press.

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