2017
DOI: 10.4114/intartif.vol20iss59pp8-20
|View full text |Cite
|
Sign up to set email alerts
|

How the ability to analyse tendencies influences decision satisfaction

Abstract: Abstract. Using agents to represent decision-makers is a complex task. It is important that agents can understand the context and be more proactive. Here we propose a model and an algorithm that will allow the agent to analyse tendencies regarding the number of supporters for each alternative along the process. It is intended that agents can be more dynamic and intelligent and can evaluate different contexts throughout the decision-making process. We believe agents will achieve better and consensual decisions … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2017
2017
2018
2018

Publication Types

Select...
2

Relationship

2
0

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 18 publications
0
2
0
Order By: Relevance
“…We have created several simulation environments because we considered at the outset that because agents act using different behavioral styles, their behavior may vary according to the number of agents and the behavioral style of the other agents with which they are involved in the decision process. We used the multicriteria problem previously used in case studies as presented in Carneiro, Martinho, Conceição, Marreiros, and Novais (2017); Carneiro, Martinho, Marreiros, and Novais (2016a) and each agent generated its preferences regarding the alternatives and criteria in a "random" way. Initially each agent randomly generated its preferences regarding the criteria and then, based on these preferences, it generated the preferences of the alternatives with a randomness that made would be plausible taking into account the values of the criteria of each alternative and preferences of previously generated criteria.…”
Section: Methodsmentioning
confidence: 99%
“…We have created several simulation environments because we considered at the outset that because agents act using different behavioral styles, their behavior may vary according to the number of agents and the behavioral style of the other agents with which they are involved in the decision process. We used the multicriteria problem previously used in case studies as presented in Carneiro, Martinho, Conceição, Marreiros, and Novais (2017); Carneiro, Martinho, Marreiros, and Novais (2016a) and each agent generated its preferences regarding the alternatives and criteria in a "random" way. Initially each agent randomly generated its preferences regarding the criteria and then, based on these preferences, it generated the preferences of the alternatives with a randomness that made would be plausible taking into account the values of the criteria of each alternative and preferences of previously generated criteria.…”
Section: Methodsmentioning
confidence: 99%
“…Having the sensitivity and the knowledge about the context (which sometimes may not be possible) will allow to predict the satisfaction level that can be obtained in the decision-making process. This work follows the study proposed in (Carneiro, Martinho, Conceição, Marreiros, & Novais, 2017) where we defined an alternative to be a tendency when it started gaining more supporters besides the ones who initially preferred it. Identifying tendencies allows the agent to perceive the new information and respond appropriately to avoid falling into undesired or unfavourable situations.…”
Section: Tendencymentioning
confidence: 99%