By Francesca Rossi, Kristen Brent Venable, Toby Walsh

ISBN-10: 1608455866

ISBN-13: 9781608455867

Computational social selection is an increasing box that merges classical themes like economics and balloting conception with extra glossy themes like man made intelligence, multiagent platforms, and computational complexity. This ebook presents a concise creation to the most study strains during this box, protecting points similar to choice modelling, uncertainty reasoning, social selection, reliable matching, and computational points of choice aggregation and manipulation. The booklet is established round the proposal of choice reasoning, either within the single-agent and the multi-agent environment. It provides the most methods to modeling and reasoning with personal tastes, with specific recognition to 2 well known and robust formalisms, smooth constraints and CP-nets. The authors reflect on choice elicitation and numerous different types of uncertainty in smooth constraints. They overview the main suitable leads to balloting, with unique recognition to computational social selection. eventually, the e-book considers personal tastes in matching difficulties. The ebook is meant for college students and researchers who could be attracted to an advent to choice reasoning and multi-agent choice aggregation, and who need to know the fundamental notions and ends up in computational social selection. desk of Contents: creation / choice Modeling and Reasoning / Uncertainty in choice Reasoning / Aggregating personal tastes / reliable Marriage difficulties

Show description

Read or Download A Short Introduction to Preferences: Between AI and Social Choice (Synthesis Lectures on Artificial Intelligence and Machine Learning) PDF

Similar intelligence & semantics books

Read e-book online Audio Signal Processing for Next-Generation Multimedia PDF

I might say this e-book is a 5 celebrity booklet when you are a researcher in any of the subsequent parts: speech acquisition and enhancement, acoustic echo cancellation, sound resource monitoring and estimation, or audio coding and sound level illustration. the mathematics is especially transparent for this type of educational books written via committee with a few stable examples.

Intelligent Systems and Technologies: Methods and - download pdf or read online

Clever structures and applied sciences are expanding discovering their methods in our day-by-day lives. This e-book provides a pattern of modern study effects from key researchers. The contributions include:Introduction to clever systemsA Fuzzy Density research of Subgroups by way of DNA OligonucleotidesEvolution of Cooperating category ideas with an Archiving technique to Underpin CollaborationDesigning brokers with Dynamic CapabilityLocalized as opposed to Locality maintaining illustration equipment in Face reputation TasksInvariance homes of Recurrent Neural NetworksSolving Bioinformatics difficulties via delicate Computing TechniquesTransforming an Interactive professional Code right into a Statefull provider and a Multicoreenabled SystemRo-WordNet with Paradigmatic Morphology and Subjectivity Mark-upSpecial instances of Relative item Qualification utilizing the between OperatorEffective Speaker monitoring innovations for Multi-party Human-Computer DialogueThe Fuzzy Interpolative regulate for Passive GreenhousesGPS defense process for airplanes3D Collaborative Interfaces for E-learningOpen initiatives in modern E-LearningSoftware Platform for Archaeological Patrimony stock and ManagementThe e-book is directed to the graduate scholars, researchers, professors and the practitioner of clever structures.

Walter Brenner's Intelligent Software Agents: Foundations and Applications PDF

Ranging from case reports, the authors boost a methodical illustration of clever software program brokers. After laying the rules they offer a accomplished description of the fundamental construction blocks of brokers and agent platforms. those contain specifically the architectural percentages for developing clever software program brokers and cooperation and verbal exchange in multiagent structures.

Download PDF by Anand Jayant Kulkarni, Kang Tai, Ajith Abraham: Probability Collectives: A Distributed Multi-agent System

This e-book offers an rising computational intelligence instrument within the framework of collective intelligence for modeling and controlling allotted multi-agent platforms known as chance Collectives. within the converted chance Collectives technique a few constraint dealing with thoughts are included, which additionally reduces the computational complexity and more suitable the convergence and potency.

Extra info for A Short Introduction to Preferences: Between AI and Social Choice (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Sample text

The first one is to do the best that we can with the available data without further bothering the user. This translates to looking for solutions that are of high quality with respect to the preferences that are known and “robust” with respect to the ones that are missing. The second strategy is to resort to elicitation, that is, to ask the user for the missing preferences. Eliciting preferences takes time and effort, and users may be reluctant to provide their preferences due to privacy concerns or annoyance, especially when confronted with large combinatorial candidate sets.

3 CP-NETS AND HARD CONSTRAINTS CP-nets provide a very intuitive framework to specify conditional qualitative preferences, but they do not allow for hard constraints. However, real-life problems often contain both constraints and preferences. While hard constraints and quantitative preferences can be adequately modeled and handled within the soft constraint formalisms, when we have both hard constraints and qualitative preferences, we need to either extend the CP-net formalism [22] or at least develop specific solution algorithms.

Moreover, as far as accommodations, which can be in a standard room, a suite, or a bungalow, assume that a suite in the Maldives is too expensive while a standard room in the Caribbean is not special enough for a honeymoon. To model this new information, we use a variable A (standing for Accommodation) with domain D(A) = {r, su, b} (r stands for room, su for suite and b for bungalow), and three constraints: two unary incomplete soft constraints, idef 1, {T } , idef 2, {D} and a binary incomplete soft constraint idef 3, {A, D} .

Download PDF sample

A Short Introduction to Preferences: Between AI and Social Choice (Synthesis Lectures on Artificial Intelligence and Machine Learning) by Francesca Rossi, Kristen Brent Venable, Toby Walsh


by Christopher
4.3

Download PDF by Francesca Rossi, Kristen Brent Venable, Toby Walsh: A Short Introduction to Preferences: Between AI and Social
Rated 4.21 of 5 – based on 27 votes