Download Multi-Agent Systems: 12th European Conference, EUMAS 2014, by Nils Bulling PDF

By Nils Bulling

This ebook constitutes the court cases of the twelfth eu convention on Multi-Agent platforms, EUMAS 2014, held in Prague, Czech Republic, in December 2014. The 21 complete papers and eight brief papers offered during this quantity have been rigorously reviewed and chosen from seventy nine submissions. they're prepared in topical sections named: agent-based versions, belief and recognition; coordination, coalitions and teamwork; common sense and formal methods; theories in perform and real-world difficulties; choice making, conflicts and agreements.

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Extra resources for Multi-Agent Systems: 12th European Conference, EUMAS 2014, Prague, Czech Republic, December 18-19, 2014, Revised Selected Papers

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Tweety is under active development, in which we participate. It currently contains implementations for: first-order logic, ordinal conditional functions, relational conditional logic, probabilistic conditional logic, relational probabilistic conditional logic, markov logic, epistemic logic, description logic, deductive argumentation, structured argumentation frameworks, defeasible logic programming, probabilistic argumentation, answer set programming. Confer to [4] for details and references. Angerona is open source and available on github 1 , as is Tweety on sourceforge 2 .

5. Here, Agent i believes that Agent j believes B with the confidence Ci,belief (j,B) (t). An option is to infer an agent’s estimation of a confidence value is through observation. Alternatively, through communication the agent can directly ask the other agent for its confidence value. Li,j,B (t) = |Ci,B (t) − Ci,belief (j,B) (t)| (5) To decide whether Li,j,B (t) represents a positive or negative evidence that can be used in Eq. 4, a threshold value μ is introduced. If (1−Li,j,P (t)) is greater than μ, it is taken as a positive evidence (see Eq.

T. t. g. flying an aircraft). EIi,B,j (t) = (ωj ∗ Ti,j,D (t) ∗ Cj,B (t)) + ((1 − ωj ) ∗ Ti,i,D ∗ OB (t))) (3) Here, one of the important issues is how to model the trustworthiness of an information source (Ti,j,D (t)) in the specific sense that it determines to what extent the information provided by the information source is incorporated in the agent’s belief network. A variety of trust models have been proposed in trust literature. , [8,11,18]. The models differ in the way how they represent experience and how different experiences are aggregated over time.

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