Titlebook: Computational Logic in Multi-Agent Systems; 11th International W Jürgen Dix,Jo?o Leite,Wojtek Jamroga Conference proceedings 2010 Springer-

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,Zusatzverkokung und Koksqualit?t, action theory. The action theory is defined through a combination of Answer Set Programming and Dynamic Linear Time Temporal Logic (DLTL). The temporal action theory allows us to formalize a business process as a temporal domain description, possibly including temporal constraints. Obligations in n

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,Einzelheiten zur Durchführung der Versuche,ative programming. With this approach, while designers and agents still use a highly abstract organisational modelling language to specify and reason about the multi-agent organisation, the development of the organisation management infrastructure is facilitated in the following manner. The high-lev

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Die Aufgabe und ihre Bedeutung,ategies for agents with incomplete information for enforcing a property expressible in the language of Alternating-time Temporal Logic ATL. The main application of the algorithm is automated program synthesis for systems that can be modeled as multi-agent systems with incomplete information (e.g., d

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https://doi.org/10.1007/978-3-663-04452-9r game on a graph. Such problem applies to the automatic synthesis of controllers, where positional strategies represent efficient controllers. As our main result, we describe a novel sufficient condition for half positionality, more general than what was previously known. Moreover, we compare our p

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https://doi.org/10.1007/978-3-663-19721-8st responses. This involves looking at two formal languages. One, ., is first-order, and is used to formalise optimality conditions, like avoiding strictly dominated strategies, or playing a best response. The other, ., is a modal fixpoint language with expressions for optimality, rationality and be