Conference proceeding
A Case-Based Approach to Open-Ended Collective Agreement with Rational Ignorance
CASE-BASED REASONING RESEARCH AND DEVELOPMENT, ICCBR 2011, v 6880, pp 107-121
01 Jan 2011
Abstract
In this paper we focus on how to use CBR for making collective decisions in groups of agents. Moreover, we show that using CBR allows us to dispense with standard but unrealistic assumptions taken in these kind of tasks. Typically, social choice studies voting methods but assumes complete knowledge over all possible alternatives. We present a more general scenario called open-ended deliberative agreement with rational ignorance (ODARI), and show how can CBR be used to deal with rational ignorance. We will apply this approach to the Banquet Agreement scenario, where two agents deliberate and jointly agree on a two course meal. Rational ignorance makes sense in this scenario, since it would be unreasonable for the agents to know all the alternatives. Unknown alternatives, as well as a strategy to increase chances of reaching an agreement, are problems addressed using case-based methods.
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Details
- Title
- A Case-Based Approach to Open-Ended Collective Agreement with Rational Ignorance
- Creators
- Sergio Manzano - Artificial Intelligence Research InstituteSantiago Ontanon - Artificial Intelligence Research InstituteEnric Plaza - Artificial Intelligence Research Institute
- Contributors
- A Ram (Editor)N Wiratunga (Editor)
- Publication Details
- CASE-BASED REASONING RESEARCH AND DEVELOPMENT, ICCBR 2011, v 6880, pp 107-121
- Series
- Lecture Notes in Artificial Intelligence
- Publisher
- Springer Nature
- Number of pages
- 15
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Web of Science ID
- WOS:000306342100010
- Scopus ID
- 2-s2.0-84856882756
- Other Identifier
- 991021869109504721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems