Search results for: Pablo J. Villacorta

Items from 1 to 8 out of 8 results

chapter

Ant Colony Optimization for Automatic Design of Strategies in an Adversarial Model

Pablo J. Villacorta, David A. Pelta

Studies in Computational Intelligence > Nature Inspired Cooperative Strategies for Optimization (NICSO 2011) > 1-19

Adversarial decision making is aimed at determining optimal strategies against an adversarial enemy who observes our actions and learns from them. The field is also known as decision making in the presence of adversaries. Given two agents or entities S and T (the adversary), both engage in a repeated conflicting situation in which agent T tries to learn how to predict the behaviour of S. One defense...

article

A new fuzzy linguistic approach to qualitative Cross Impact Analysis

Pablo J. Villacorta, Antonio D. Masegosa, Dagoberto Castellanos, Maria T. Lamata

Applied Soft Computing > 2014 > 24 > Complete > 19-30

Scenario Planning helps explore how the possible futures may look like and establishing plans to deal with them, something essential for any company, institution or country that wants to be competitive in this globalize world. In this context, Cross Impact Analysis is one of the most used methods to study the possible futures or scenarios by identifying the system's variables and the role they play...

chapter

Fuzzy linguistic multicriteria morphological analysis in scenario planning

Pablo J. Villacorta, Antonio D. Masegosa, Maria T. Lamata

2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS) > 777 - 782

2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS)

Companies that want to be competitive must make use of good practices to anticipate the future by analyzing the possible effects of today's decisions on their own long-term development. Scenario planning is among the most extended approaches to accomplish this. One of the techniques often used in scenario planning is Morphological Analysis, which aims to explore the space of feasible futures in a...

article

Forgetting as a way to avoid deception in a repeated imitation game

Pablo J. Villacorta, David A. Pelta, Maria T. Lamata

Autonomous Agents and Multi-Agent Systems > 2013 > 27 > 3 > 329-354

Adversarial decision making is aimed at determining optimal decision strategies to deal with an adaptive opponent. A clear example of such situation is the repeated imitation game presented here. Two agents compete in an adversarial model where one agent wants to learn how to imitate the actions taken by the other agent by means of the observation and memorization of the past actions. One defense...

chapter

Automatic design of deterministic sequences of decisions for a repeated imitation game with action-state dependency

Pablo J. Villacorta, Luis Quesada, David Pelta

2012 IEEE Conference on Computational Intelligence and Games (CIG) > 1 - 8

2012 IEEE Conference on Computational Intelligence and Games (CIG)

A repeated conflicting situation between two agents is presented in the context of adversarial decision making. The agents simultaneously choose an action as a response to an external event, and accumulate some payoff for their decisions. The next event statistically depends on the last choices of the agents. The objective of the first agent, called the imitator, is to imitate the behaviour of the...

article

Theoretical analysis of expected payoff in an adversarial domain

Pablo J. Villacorta, David A. Pelta

Information Sciences > 2012 > 186 > 1 > 93-104

Adversarial decision making is aimed at finding strategies for dealing with an adversary who observes our decisions and tries to learn our behavior pattern. Based on a simple mathematical model, the present contribution provides analytical expressions for the expected payoff when using simple strategies which try to balance confusion and payoff. Additional insights are provided regarding the structure...

chapter

Sensitivity analysis in the scenario method: A multi-objective approach

Pablo J. Villacorta, Antonio D. Masegosa, Dagoberto Castellanos, Pavel Novoa, more

2011 11th International Conference on Intelligent Systems Design and Applications > 867 - 872

2011 11th International Conference on Intelligent Systems Design and Applications (ISDA)

Technology foresight deals with the necessity of anticipating the future to better adapt to new situations regarding innovations that directly affect business world. One widely spread methodology in technology foresight is Godet's Scenario Method, which includes a module (MICMAC) performing the so-called structural analysis. The goal of the structural analysis is to identify the most important variables...

chapter

Expected payoff analysis of dynamic mixed strategies in an adversarial domain

Pablo J. Villacorta, David A. Pelta

2011 IEEE Symposium on Intelligent Agent (IA) > 1 - 7

2011 Ieee Symposium On Intelligent Agents - Part Of 17273 - 2011 Ssci

Adversarial decision making is aimed at determining optimal decision strategies to deal with an adversarial and adaptive opponent. One defense against this adversary is to make decisions that are intended to confuse him, although our rewards can be diminished. In this contribution, we describe ongoing research in the design of time varying decision strategies for a a simple adversarial model. The...

INFONA - science communication portal

Search results for: Pablo J. Villacorta

Ant Colony Optimization for Automatic Design of Strategies in an Adversarial Model

A new fuzzy linguistic approach to qualitative Cross Impact Analysis

Fuzzy linguistic multicriteria morphological analysis in scenario planning

Forgetting as a way to avoid deception in a repeated imitation game

Automatic design of deterministic sequences of decisions for a repeated imitation game with action-state dependency

Theoretical analysis of expected payoff in an adversarial domain

Sensitivity analysis in the scenario method: A multi-objective approach

Expected payoff analysis of dynamic mixed strategies in an adversarial domain

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INFONA - science communication portal

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