An Agent's Action Selection Strategy by Using Case-based Reasoning and Simulated Vision
نویسنده
چکیده
the form of two different types of cases: plan cases and contextual cases.
منابع مشابه
Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve accuracy in the action selection process, CBRetaliate uses CBR to allow RL to respond more quickly to changing conditions. CBRetaliate combines two key features: it uses a time window to compute similarity and stores...
متن کاملLicense Plate location Determination by Using Case-Based Reasoning
The license plate recognition system is part of the intelligent transportation system. In the intelligent transportation system, the vehicle image is used as the system input. The first step is to improve the image, after the edge detection, a series of morphological operations are performed to identify the plaque. The main purpose of this research was to increase the importance of plate re...
متن کاملMetacognitive Adaptation : Regulating the Plan Transformation
Recent research in case-based reasoning suggests the use of metacognitive approaches to control the reasoning process. Whereas most of this research focuses on issues related to retrieval and representation, we describe a metacognitive approach to case adaptation based on the generation of questions and answers. The answer generation utilizes particular planning knowledge in the form of introsp...
متن کاملComprehensive Decision Modeling of Reverse Logistics System: A Multi-criteria Decision Making Model by using Hybrid Evidential Reasoning Approach and TOPSIS (TECHNICAL NOTE)
In the last two decades, product recovery systems have received increasing attention due to several reasons such as new governmental regulations and economic advantages. One of the most important activities of these systems is to assign returned products to suitable reverse manufacturing alternatives. Uncertainty of returned products in terms of quantity, quality, and time complicates the decis...
متن کاملAffect, Anticipation, and Adaptation: Affect-Controlled Selection of Anticipatory Simulation in Artificial Adaptive Agents
Emotion plays an important role in thinking. In this article we study affective control of the amount of simulated anticipatory behavior in adaptive agents using a computational model. Our approach is based on model-based reinforcement learning (RL) and inspired by the simulation hypothesis (Cotterill, 2001; Hesslow, 2002). The simulation hypothesis states that thinking is internal simulation o...
متن کامل