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L. Gasser and M.N. Huhns, "Themes in Distributed Artificial Intelligence Research," in L. Gasser and M.N. Huhns, eds., Distributed Artificial Intelligence, Volume II, Pitman Publishers, pages vii--xv, 1989.

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This paper is cited in the following contexts:
Extending Ascribed Intensional Ontologies with.. - Bordini, Campbell.. (1998)   (Correct)

....contributions to make to the computational counterpart problems in DAI, where the formal aspect is essential. Thus, peripherally, this paper also suggests that it is helpful to make further investigation of fairly old work on social sciences as sources of inspiration for open problems in DAI (Gasser and Huhns 1989; Gasser 1991) However, we do agree with Gasser (Gasser 1991) as we stated in (Bordini and Campbell 1995) that theories in social sciences more recent than those provide the basic principles underlying the appropriate conception of DAI as an inherently social one. It is a matter of finding the ....

Gasser, L., and Huhns, M. N. 1989. Themes in distributed artificial intelligence research. In Gasser, L., and Huhns, M. N., eds., Distributed Artificial Intelligence, volume II. London / San Mateo, CA: Pitman / Morgan Kaufmann. vii--xv.


Anthropologically-Based Migration of Agents: a New Approach.. - Bordini, Campbell (1995)   (1 citation)  (Correct)

.... with the actual message to be sent to some agent is not enough as it may become necessary to send the semantics of the language used to give the previous semantic interpretation, and so on (this is referred to as the problem of keeping meanings and representations stable across space and time in (Gasser and Huhns 1989)) Although it may seem that we are just shifting the problem one level up and making the standardisation at the meta level rather than the communication level itself, we believe that this is not true because we are proposing that agents use the meta level that the research community itself ....

Gasser, L., and Huhns, M. N. 1989. Themes in distributed artificial intelligence research. In Gasser, L., and Huhns, M. N., eds., Distributed Artificial Intelligence, volume II. London: Pitman / Morgan Kaufmann.


Ascription of Intensional Ontologies in Anthropological.. - Bordini, Campbell.. (1997)   (1 citation)  (Correct)

....their potential contributions to the computational counterpart problems in DAI, where the formal aspect is essential. Thus, peripherally, this paper suggests that it is helpful to make further investigation of fairly old work on social science as sources of inspiration for open problems in DAI [13,12]. However, we do agree with Gasser [12] as we stated in [4] that the latest theories in social sciences provide the basic principles underlying the appropriate conception of DAI as an inherently social one. Finally, we stress that what we have presented here is one of the steps to be taken ....

Les Gasser and Michael N. Huhns. Themes in distributed artificial intelligence research. In Les Gasser and Michael N. Huhns, editors, Distributed Artificial Intelligence, volume II. Pitman / Morgan Kaufmann, London, 1989. Research Notes in Artificial Intelligence.


Object-Based Concurrent Programming and Distributed Artificial .. - Gasser, Briot (1992)   (7 citations)  Self-citation (Gasser)   (Correct)

....DAI platforms. 1 Introduction There has been significant discussion over the past several years about connections between research issues and practical techniques in the Object Based Concurrent Programming (OBCP) and the DAI communities [Bond and Gasser 88a, Ferber and Carle 92, Gasser et al. 87, Gasser and Huhns 89, Tokoro and Ishikawa 84, Yonezawa 90] Distributed AI has been concerned with representation, reasoning, and coordination in collections of computational agents. Object Oriented Concurrent Programming is based on the notion of active and autonomous objects which are computing concurrently and ....

....levels of analysis. Just as social theorists conceptualize social action in numerous levels, such as individual, small group, organization, society, and so on, it may be useful to be able to analyze an intelligent distributed problem solving process at varying levels in vitro (cf. Parsons51, Gasser and Huhns 89] This can only be done using tools and analytic techniques which treat and conceive the problem solving agents at differing levels of granularity, using observational mechanisms of decomposition and aggregation. Much more research needs to be done to address these compositional, ....

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L. Gasser and M.N. Huhns, "Themes in Distributed Artificial Intelligence Research," in L. Gasser and M.N. Huhns, eds., Distributed Artificial Intelligence, Volume II, Pitman Publishers, pages vii--xv, 1989.

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