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Titlebook: Engineering Multi-Agent Systems; Second International Fabiano Dalpiaz,Jürgen Dix,M. Birna Riemsdijk Conference proceedings 2014 Springer In

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11#
發(fā)表于 2025-3-23 13:20:03 | 只看該作者
From Multi-Agent Programming to Object Oriented Design Patterns,o the identification and operationalisation of multi-agent system concepts, features and abstractions by proposing specific programming constructs. Unfortunately, these contributions have not yet been widely adopted by industry. In this paper, we follow the argument that multi-agent programming tech
12#
發(fā)表于 2025-3-23 15:41:22 | 只看該作者
,CaFé: A Group Process to Rationalize Technologies in Hybrid AAMAS Systems,o not lend themselves to a single technology, but require multiple tools. In an applied AI company, each tool often has its own advocate, whose specialized knowledge may lead her to overestimate her tool’s contribution and diminish that of other tools. To form an effective team, the various members
13#
發(fā)表于 2025-3-23 19:44:18 | 只看該作者
14#
發(fā)表于 2025-3-24 00:03:32 | 只看該作者
15#
發(fā)表于 2025-3-24 04:41:24 | 只看該作者
Side Effects of Agents Are Not Just Random, there is no system dedicated to this kind of proof. The GDT4MAS framework allows to specify and prove the correctness of multiagent systems. This framework is mainly dedicated to prove safety properties about the system and to prove that agents achieve their goal(s). However, there is no proof prin
16#
發(fā)表于 2025-3-24 07:07:40 | 只看該作者
17#
發(fā)表于 2025-3-24 14:06:01 | 只看該作者
18#
發(fā)表于 2025-3-24 16:45:13 | 只看該作者
Semantic Representations of Agent Plans and Planning Problem Domains,ination of those techniques, we present a semantic model of planning domains that can be converted to both agent programming plans as well as planning problem definitions. Our approach allows the representation of agent plans using ontologies, enabling the integration of different formalisms since t
19#
發(fā)表于 2025-3-24 22:58:47 | 只看該作者
20#
發(fā)表于 2025-3-24 23:30:51 | 只看該作者
https://doi.org/10.1007/978-3-319-14484-9intelligent agents; model-driven software engineering; multi-agent systems; reasoning about belief and
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