Case-Based Reasoning Research and Development: 21st by Amira Abdel-Aziz, Weiwei Cheng (auth.), Sarah Jane Delany,

By Amira Abdel-Aziz, Weiwei Cheng (auth.), Sarah Jane Delany, Santiago Ontañón (eds.)

This booklet constitutes the refereed court cases of the twenty first overseas convention on Case-Based Reasoning examine and improvement (ICCBR 2013) held in Saratoga Springs, new york, united states, in July 2013.
The 17 revised complete papers awarded including nine posters were
carefully reviewed and chosen from 39 submissions. The displays and posters lined quite a lot of CBR themes of curiosity either to researchers and practitioners together with case retrieval and model, similarity overview, case base upkeep, wisdom administration, recommender platforms, multiagent structures, textual CBR, and purposes to healthcare and machine games.

Show description

Read Online or Download Case-Based Reasoning Research and Development: 21st International Conference, ICCBR 2013, Saratoga Springs, NY, USA, July 8-11, 2013. Proceedings PDF

Similar research books

Advanced Genealogy Research Techniques

A qualified genealogist unearths how you can get prior brick partitions in learn and unearth hard-to-find ancestors

Advanced family tree study recommendations makes use of updated and hugely geared up equipment and methods to teach you the way to discover the elusive information to around out your family tree learn. You'll get earlier the brick partitions that experience stumped you and spot the best way to stream past uncomplicated varieties of family tree assets. The booklet covers various software program courses and really good family tree instruments and indicates you ways to create an internet genealogical study log to maintain info chanced on and arrange it in how you can assist you comprehend what you've exposed. approximately each type of glossy social networking is addresses as is utilizing DNA documents. This useful, in-depth advisor offers the subsequent point of aspect for someone who desires to extend past the newbie strategies and techniques.

• makes use of confirmed learn the right way to pass deeper and discover elusive details
• allows you to comprehend the main points you discover and retain music of data
• Covers numerous software program courses and really good family tree tools
• bargains a number of situations and examples to force domestic the learn tools defined

Research and Development in Intelligent Systems XVIII: Proceedings of ES2001, the Twenty-first SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2001

M. A. BRAMER college of Portsmouth, united kingdom This quantity includes the refereed technical papers provided at ES200 l, the Twenty-fIrst SGES overseas convention on wisdom dependent structures and utilized synthetic Intelligence, held in Cambridge in December two hundred l, including an invited keynote paper by way of Professor Derek Sleeman.

Extra resources for Case-Based Reasoning Research and Development: 21st International Conference, ICCBR 2013, Saratoga Springs, NY, USA, July 8-11, 2013. Proceedings

Sample text

Every scenario was symmetrical about the terrain and units, except for 1 scenario in which one team surrounded another. Both goal systems faced the same opponent implemented by the strategy achieving the goal Closest Distance. This is the most general strategy and generally performed well in every scenario. For every match (scenario) the system played on either side and the resulting score is the average difference in scores from both runs. The score in Wargus is calculated by adding the score for every enemy unit you defeat, with different units being worth different point values.

Aha (Naval Research Laboratory) for suggesting the idea of using IBM Watson in the context of goaldriven autonomy research. We would also like to thank Ulit Jaidee for his code used to run automated experiments in Wargus. This research is funded in part by NSF 1217888. References 1. : Learning and Reusing Goal-Specific Policies for Goal-Driven Autonomy. , Watson, I. ) ICCBR 2012. LNCS, vol. 7466, pp. 182–195. Springer, Heidelberg (2012) 2. : Automatically Acquiring Domain Knowledge For Adaptive Game AI Using Evolutionary Learning.

The specific percentage used is user-defined. The value of this second function is that a user does not have to repeat the same answer many more times if they had a single different answer for some reason. For example, consider a frequent traveller. Most of the time they book a flight from their home airport, but sometimes they are in a different city and they book a flight leaving from there. We can still learn which airport they prefer since the majority of the time they choose their home airport. More specifically, suppose they have their percentage set to 75% and the sequential threshold set to 3 for example.

Download PDF sample

Rated 4.18 of 5 – based on 15 votes