Optimal and Non-Optimal Compromise Strategies in Action Selection
نویسنده
چکیده
Devising a solution to the action selection problem rests on a definition of which actions are preferable over others. Among many properties suggested for action selection mechanisms, one prominent one is the ability to select compromise actions, i.e. actions that are not the best to satisfy any active goal in isolation, but rather compromise between the multiple goals. This paper performs a mathematical and experimental analysis of compromise behavior in an attempt to determine exactly how much compromise behavior aids an animat. It concludes that optimal compromise behavior is a small improvement over non-compromise behavior, but commonly proposed easy to compute compromise mechanisms are worse than non-compromise behavior. It further analyzes the properties of situations when compromise behavior is distinctly better than non-compromise behavior.
منابع مشابه
On Compromise Strategies for Action Selection with Proscriptive goals
Among many properties suggested for action selection mechanisms, one prominent one is the ability to select compromise actions, i.e. actions that are not the best to satisfy any active goal in isolation, but rather compromise between the multiple goals. This paper performs an analysis of compromise actions in situations where the agent has one proscriptive goal. It concludes that optimal compro...
متن کاملCompromise strategies for action selection.
Among the many properties suggested for action-selection mechanisms, a prominent one is the ability to select compromise actions, i.e. actions that are not the best to satisfy any active goal in isolation, but rather compromise between multiple goals. This paper briefly reviews the history of compromise behaviour and presents experimental analyses of it in an attempt to determine how much compr...
متن کاملOptimal Feature Selection for Data Classification and Clustering: Techniques and Guidelines
In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...
متن کاملOptimal Feature Selection for Data Classification and Clustering: Techniques and Guidelines
In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...
متن کاملEffective Strategies for Optimal Implementation of Evolution and Innovation Packages in Medical Education
ABSTRACT BACKGROUND AND OBJECTIVE: Evolution and innovation packages in medical science education are the main program of medical education and it is necessary to pay attention to the provision of infrastructure of their implementation. This study was conducted to identify effective strategies for optimal implementation of evolution and innovation packages in medical education. METHODS: The met...
متن کامل