Nodine, M.H., Unruh, A.: Facilitating open communication in agent systems: The InfoSleuth infrastructure. In: Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages. (1997) 281-- 295  Home/Search   Document Details and Download   Summary   ACM   TOC   Related Articles   Check

....with the rest of the systems described here is planned. 6 Related Work There has been significant work on general algorithms for query planning, selective materialization, and the optimization of these from the AI perspective, for example TSIMMIS [5] Information Manifold [23] Infosleuth [27], HERMES [1] SIMS [2] etc. and of course on applying agents as the way to embody these algorithms [24, 32, 12, 22] In Biology, compared to the work being done to create the raw data, all the work on how to organize and retrieve it is relatively small. Most of the work in computer science ....

M. Nodine and A. Unruh. Facilitating open communication in agent systems: the infosleuth infrastructure. In M. Singh, A. Rao, and M. Wooldridge, editors, Intelligent Agents IV, pages 281--295. Springer-Verlag, 1998.

....ontology information available to that agent. Much work is being done in the ontology area to support this. We also assume that all agents use the same language for encoding message content, such as XML. 1. 2 Related Work Although transmitting protocols have been proposed in earlier research [4, 5, 6], they were primarily for closed systems. Research Refer to [8] for a detailed explanation of what Petri Nets are and how they work. Since Petri Nets are used to represent interaction protocols, we use the terms Petri Net and Protocol to mean the same thing. For our purposes, we assume that ....

....for the previous example include the interaction between the auctioneer, bidders and a possible supplier for example. Therefore according to our definition, AUML 5 represents protocols from a global perspective. In addition to AUML, protocols have been represented using various notations [4, 5, 6] including Finite State Machines and Pushdown Automata, Dooley Graphs and Petri Nets. We have selected the Petri Net notation to represent local protocols because of its advantages over the other notations, such as the ability to represent concurrency in conversations. Refer to [7] for a ....

M. H. Nodine and A. Unruh. Facilitating open communication in agent systems: The infosleuth infrastructure. In Proceedings of the Fourth International Workshop on Agent Theories, Architectures, and Languages, 1997.

....ontology information available to that agent. Much work is being done in the ontology area to support this. We also assume that all agents use the same language for encoding message content, such as XML. 1. 2 Related Work Although transmitting protocols have been proposed in earlier research [4, 5, 6], they were primarily for closed systems. Research 2Refer to [8] for a detailed explanation of what Petri Nets are and how they work. Since Petri Nets are used to represent interaction protocols, we use the terms Petri Net and Protocol to mean the same thing. 3For our purposes, we assume that all ....

....protocol for the previous example include the interaction between the auctioneer, bidders and a possible supplier for example. Therefore according to our definition, AUML 5 represents protocols from a global perspective. In addition to AUML, protocols have been represented using various notations [4, 5, 6] including Finite State Machines and Pushdown Automata, Dooley Graphs and Petri Nets. We have selected the Petri Net notation to represent local protocols because of its advantages over the other notations, such as the ability to represent concurrency in conversations. Refer to [7] for a ....

M. H. Nodine and A. Unruh. Facilitating open communication in agent systems: The infosleuth infrastructure. In Proceedings of the Fourth International Workshop on Agent Theories, A rchileclares, and Languages, 1997.

....be found in [9] BAL ############ lie at the highest level of communication, and consist of a number of messages being passed between agents following a xed protocol for a particular type of interaction. These are prescriptive conversations, in a similar manner to that considered by InfoSleuth [21]. An example of a BAL ####### is as follows: ####### ############### ######### ################ ########## ### ######### #### ######### #### ######## ######## #### ############### # ######## ########## ## # ## ##### # ################## #### # ############ ### #### # ....

M. H. Nodine and A. Unruh. Facilitating open communication in agent systems: The infosleuth infrastructure. In ##### ######### ############## ### #########, pages 281-295, 1997.

....In the research on multi agent systems there is an increasing emphasis on the openended nature of agent systems, which refers to the feature to allow for the dynamic integration of new agents into an existing agent system. In such systems, which are referred to as open multi agent systems (cf. [18]) it is usually impossible that agents possess complete built in information about the other agents in the system, simply because such information will initially be unavailable. As was already pointed out by Hewitt and de Jong (cf. 13] the only thing that holds the components of an open system ....

M.H. Nodine and A. Unruh. Facilitating open communication in agent systems: The infosleuth infrastructure. In M.P. Singh, A. Rao, and M.J. Wooldridge, editors, Proceedings of Fourth International Workshop on Agent Theories, Architectures and Languages (ATAL'97), volume 1365 of LNAI, pages 281--295. Springer-Verlag, 1998.

.... Wagner et al. 39] and Elio and Haddadi [13] who defines a multi level state machine, or Abstract Task Model (ATM) A few others have chosen to stay within the bounds of a DFA, such as Chauhan [7] who uses COOL as the basis for her multi agent development system 13 , Nodine and Unruh [32], and Pitt and Mamdani [35] who uses DFAs to specify protocols for BDI agents. Also using automata, Martin et al. 29] employs Push Down Transducers (PDT) Lin et al. 28] and Cost et al. 10] demonstrate the use of CPNs, and Moore [30] applies state charts. Parunak [33] introduces Dooley Graphs. ....

M. H. Nodine and A. Unruh. Facilitating open communication in agent systems: the InfoSleuth infrastructure. In Michael Wooldridge, Munindar Singh, and Anand Rao, editors, Intel ligent Agents Volume IV -- Proceedings of the

....unification algorithm. Advertisements and requests must match based solely on their content; there is no knowledge base against which inference is performed. Limited inference for 13 future versions is envisaged though. 2.3. 3 InfoSleuth The aim of the InfoSleuth project [Bayardo et al. 1997, Nodine and Unruh, 1997, Nodine et al. 1998] is to develop technologies that operate on heterogeneous information sources in an open, dynamic environment. To achieve this flexibility and openness, InfoSleuth integrates agent technology, ontologies, information brokerage, and Internet computing. InfoSleuth s ....

Marian Nodine and Amy Unruh. Facilitating open communication in agent systems: The InfoSleuth infrastructure. In N. Singh, A. Rao, and m. Wooldridge, editors, Proc. 4th International Workshop on Agent Theories, Architectures, and Languages, pages 281--295, Providence, RI, July 1997.

.... et al. 44] and Elio and Haddadi [13] who de nes a multi level state machine, or Abstract Task Model (ATM) A few others have chosen to stay within the bounds of a DFA, suchas Chauhan [6] who uses COOL as the basis for her multi agent development system # , Nodine and Unruh [38], and Pitt and Mamdani [41] who uses DFAs to specify protocols forBDI agents. Also using automata,Martin et al. 33] employs Push Down Transducers (PDT) Lin et al. 32]and Cost et al. 9] demonstrate the use of CPNs, and Moore [36]applies state charts. Parunak [39]introduces Dooley Graphs. ....

M. H. Nodine and A. Unruh.Facilitatingopencommunication in agentsystems: the InfoSleuth infrastructure. In Michael Wooldridge, Munindar Singh, and Anand Rao, editors, Intelligent Agents Volume IV { Proceedings of the

....ontology, and so are easily mapped to gene names specific to the organism of interest. 5 Related Work There has been significant work on general algorithms for query planning, selective materialization, and the optimization of these from the AI perspective, for example TSIMMIS [4] Infosleuth [19], SIMS [1] etc. and of course on applying agents as the way to embody these algorithms [16, 21, 10] In Biology, compared to the work being done to create the raw data, all the work on how to organize and retrieve it is relatively small. Most of the work in computer science directed to ....

M. Nodine and A. Unruh. Facilitating open communication in agent systems: the infosleuth infrastructure. In Intelligent Agents IV, pages 281--295. Springer-Verlag, 1998.

....with the rest of the systems described here is planned. 6 Related Work There has been significant work on general algorithms for query planning, selective materialization, and the optimization of these from the AI perspective, for example TSIMMIS [5] Information Manifold [20] Infosleuth [23], HERMES [1] SIMS [2] Fig. 6. Overview of gene expression processing organization etc. and of course on applying agents as the way to embody these algorithms [21, 26, 11, 19] In Biology, compared to the work being done to create the raw data, all the work on how to organize and retrieve it ....

M. Nodine and A. Unruh. Facilitating open communication in agent systems: the infosleuth infrastructure. In M. Singh, A. Rao, and M. Wooldridge, editors, Intelligent Agents IV, pages 281--295. Springer-Verlag, 1998.

....based on logical reasoning. This facilitator shares our emphasis on content based routing and the synthesis of complex multistep delegation plans, but does not go as far as OAA in allowing the service requester to in#uence the strategies used by the facilitator. Similarly, the InfoSleuth system #Nodine and Unruh, 1997# employs matchmaking agents having the ability to reason deductively about whether expressions of requirements #by requesters# match with the advertised capabilities of service providers. KQML #Labrou and Finin, 1997; Finin et al. 1997# provides #capability de#nition performatives , ....

M. H. Nodine and A. Unruh. 1997. Facilitating open communication in agent systems: the InfoSleuth infrastructure. Technical Report MCC-INSL-056-97, Microelectronics and Computer Technology Corporation, Austin, Texas 78759, April.

....between the agents individual mental states, arise as a sideeffect of cooperation. Such translation mechanisms are not developed by the designer of the system, but rather by the agents themselves. Secondly, in the field of multi agent systems there is a growing interest in open agent systems (cf. [12]) in which agents can join and leave at any time. In such systems, the dynamics of the communication structure requires the corresponding translation mechanisms to be also of a dynamic nature. As an illustration, let us summarize why a translation mechanism as used in the DESIRE framework falls ....

M.H. Nodine and A. Unruh. Facilitating open communication in agent systems: The infosleuth infrastructure. In Proceedings of ATAL'97, volume 1365 of LNAI, pages 281--295. Springer-Verlag, 1998.

....how specific, implemented agents describe their capabilities in a way that distinguishes them from other agents. We contrast our approach to the existing ones and point out where it is superior. 1 MCC Technical Report SRI 072 99 2 1 Introduction Our experiences with the InfoSleuth 1 [2, 16, 15] agent system led to the discovery of many weaknesses in existing matchmaking systems. The InfoSleuth project began matching mostly over data and agent types, with limited use of the capabilities of the underlying reasoning engine. As the basic framework of the system matured, new agent types were ....

....represent our framework in a first order logic by defining the appropriate predicates for the various pieces of our ontologies. The larks reasoning engine could then reason over these higher level concepts in a similar manner to the one we use in our own reasoning engine. The InfoSleuth project [2, 16, 15] also did some early work on matching [14] The limitations that we encountered in this initial implementation of matchmaking served as a motivation for the development of the approach presented in this paper. 6 Conclusions This paper has presented a novel framework for agents to advertise their ....

Marian H. Nodine and Amy Unruh. Facilitating open communication in agent systems: the InfoSleuth infrastructure. In Proceedings of the Fourth International Workshop on Agent Theories, Architectures, and Languages, 1997.

....add inheritance to conversations; Wagner et al. 46] and Elio and Haddadi [14] who defines a multilevel state machine, or ATM. A few others have chosen to stay within the bounds of a DFA, such as Chauhan [7] who uses COOL as the basis for her multi agent development system, 1 Nodine and Unruh [34, 35], who use conversation specifications to enforce correct conversational behavior, and Pitt and Mamdani [40] who use DFAs to specify protocols for BDI agents. Also using automata, Martin et al. 30] employ Push Down Transducers (PDT) Lin et al. 28] and Cost et al. 9] demonstrate the use of ....

M. H. Nodine and A. Unruh. Facilitating open communication in agent systems: The InfoSleuth infrastructure. Technical Report MCC-INSL-056-97, MCC, April 1997.

....provide intelligent access to a heterogeneous collection of information sources. Tasks that cannot be executed by a single agent are performed by a team, and such teams are formed on demand. A similar infrastructure is used in InfoSleuth, and the communication protocol used is similar as well [20]. In open MAS, agents must be able to locate one another. In such systems which are distributed over the Internet, where participating agents may dynamically enter and leave, which is distributed over the Internet, broadcast communication solutions are precluded. In RETSINA this problem is solved ....

M. Nodine and A. Unruh. Facilitating open communication in agent systems: the infosleuth infrastructure. In M. Singh, A. Rao, and M. Wooldridge, editors, Intelligent Agents 4, Lecture Notes in Artificial Intelligence No. 1365, pages 281--296. Berlin:Springer-Verlag, 1997.

....and back to the global model again. The problem with this approach is the necessity of a global model (such as XML) which may be difficult to enforce on all entities wrappers in a network with no central controller (such as the Internet) especially when it comes to semantic heterogeneity [NU97, Thu97] Wrappers also lend themselves naturally to agent technology. Each wrapper can be seen as an interface agent to a particular data source. This allows easy integration of wrappers with legacy databases without disturbing the underlying database, and also keeps with the ontology of a ....

....B C A B Figure 4: Two ways of using wrappers for interoperability. Transformation of data occurs at each arrow. The InfoSleuth system is an example of a multi agent system which uses a matchmaker agent (see Section 6) to overcome being closed, by having new agents register with the matchmaker [NU97] 4.2 Active Monitoring Developed by the database community, active monitoring allows databases to respond intelligently to changes in data [Wid96] Rules, or triggers, dictate how the database should react to changes in data, the environment or time. These triggers may result in data ....

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M. Nodine and A. Unruh. Facilitating open communication in agent systems: the InfoSleuth infrastructure. In Agent Theories, Architectures and Languages: Proceedings of the 4th International Workshop, pages 281--295, Providence, Rhode Island, July 1997.

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M. H. Nodine and A. Unruh. Facilitating open communication in agent systems: the InfoSleuth infrastructure. In Proc. 4th Int'l Workshop on Agent Theories, Architectures, and Languages, 1997.

....3. Agents may be mobile, going to the information as opposed to pulling the information to themselves. 4. Communication may be sporadic and task related, and may not follow a requestresponse paradigm. The issues we address here have emerged from our extensive experiences with the InfoSleuth TM [1, 8, 10] system, an information centric agent system that has been under development for over five years and in use for the last four years. Recently, we have begun to develop long running tasks in the areas of competitive intelligence and genomic research. These tasks have placed unforeseen strains on ....

M. Nodine and A. Unruh. Facilitating open communication in agent systems. In Munindar Singh, Anand Rao, and Michael Wooldridge, editors, Intelligent Agents IV: Agent Theories, Architectures, and Languages. Springer-Verlag, 1998.

No context found.

Nodine, M.H., Unruh, A.: Facilitating open communication in agent systems: The InfoSleuth infrastructure. In: Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages. (1997) 281-- 295

No context found.

Marian H. Nodine, Amy Unruh. Facilitating Open Communication in Agent Systems: The InfoSleuth Infrastructure. In Agent Theories, Architectures, and Languages, 281-295, 1997.

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Nodine, M., Unruh, A.: Facilitating open communication in agent systems. In Singh, M., Rao, A., Wooldridge, M., eds.: Intelligent Agents IV: Agent Theories, Architectures, and Languages. Springer (1998) 281--296

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Nodine, Marian H., and Amy Unruh, "Facilitating Open Communication in Agent Systems: the InfoSleuth Infrastructure," Intelligent Agents IV: Agent Theories, Architectures, and Languages, Munindar P. Singh et al. ed., Springer, Berlin, 1998, pp. 281-296.

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M. H. Nodine, A. Unruh, Facilitating Open Communication in Agent Systems: the InfoSleuth Infrastructure, The Fourth International Workshop on Agent Theories, Architectures, and Languages (ATAL IV) , Providence, Rhode Island, July, 1997.

No context found.

M. H. Nodine and A. Unruh. Facilitating open communication in agent systems: the InfoSleuth infr astructure. Technical Report MCC-INSL-056-97, Microelectronics and Computer Technology Corporation, Austin, Texas 78759, April 1997.

No context found.

M. Nodine and A. Unruh. Facilitating Open Communication in Agent Systems. In M. Singh, A. Rao, and M. Wooldridge, editors, Intelligent Agents IV: Agent Theories, Architectures, and Languages, pages 281-296. Springer-Verlag, 1998.

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