By Nils Bulling
This publication constitutes the court cases of the twelfth ecu convention on Multi-Agent platforms, EUMAS 2014, held in Prague, Czech Republic, in December 2014. The 21 complete papers and eight brief papers provided during this quantity have been conscientiously reviewed and chosen from seventy nine submissions. they're prepared in topical sections named: agent-based versions, belief and attractiveness; coordination, coalitions and teamwork; good judgment 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
In future work, it will be interesting to examine whether a combination of theory-driven and data-driven approaches leads to more accurate results in the prediction of the next actions a human takes. References 1. : Improving human-aware planning. , Paprzycki, M. ) MATES 2013. LNCS (LNAI), vol. 8076, pp. 400–403. Springer, Heidelberg (2013) 2. : HPLAN: facilitating the implementation of joint human-agent activities. , Bajo, J. ) PAAMS 2014. LNCS (LNAI), vol. 8473, pp. 1–12. Springer, Heidelberg (2014).
60(2), 175–215 (1992) 23. : Gifts Diﬀering: Understanding Personality Type, 2nd edn. Nicholas Brealey Publishing, Boston (1995) 24. : A quantitative review of the comprehensiveness of the ﬁve-factor model in relation to popular personality inventories. Assessment 9, 188–203 (2002) 18 S. Ahrndt et al. 25. : What is beyond the big ﬁve? plenty!. J. Pers. 68(5), 821–835 (2000) 26. : Cautionary comments regarding the Myers-Briggs type indicator. Consult. Psychol. J. Pract. Res. 57(3), 210–221 (2005) 27.
Aydo˘ gan et al. Studying the Eﬀect of β and γ Parameters In this section, the eﬀect of β and γ parameters has been studied. Recall that β and γ are the parameters adjusting the shape of the logistic function that is used in the calculation of the agent’s conﬁdence value change of a given complex belief as seen in Eq. 9. , an agent without strong under- or overestimation of the belief conﬁdence values. When β and γ are taken as 5 and 10 respectively, this corresponds to a biased agent that is more inclined to underestimate the beliefs with a low conﬁdence value and to overestimate the beliefs with a high conﬁdence value.
Multi-Agent Systems: 12th European Conference, EUMAS 2014, Prague, Czech Republic, December 18-19, 2014, Revised Selected Papers by Nils Bulling