Kenrick Mock

University of Alaska Anchorage

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Bogdan Hoanca

University of Alaska Anchorage

Justin Weaver

University of Alaska Anchorage

Walter J. Savitch

University of California, San Diego

Sam Siewert

California State University, Chico

V. Rao Vemuri

University of California, Davis

Alpana M. Desai

University of Alaska Anchorage

Alice M. Agogino

University of California, Berkeley

Vivek Angoth

University of Colorado Boulder

Helena S. Wisniewski

University of Alaska Anchorage

Giulia Kaufman

University of Alaska Anchorage

Cooperative Institutions

University of Alaska Anchorage

University of Colorado Boulder

University of California, Berkeley

University of California System

University of Colorado System

University of California, Davis

Massachusetts Institute of Technology

Berkeley College

Ames Research Center

Providence College

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A genetic classification system via discrimination tables

International Conference for Young Computer Scientists (1993)

Kenrick Mock

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Citations (1)

Wildwood: the evolution of L-system plants for virtual environments

Kenrick Mock

This paper describes the Wildwood project. In this work, a genetic algorithm was applied to a simplified L-system representation in order to generate artificial-life style plants for virtual worlds. Acting as a virtual gardener, a human selects which plants to breed, producing a unique new generation of plants. An experiment involving a simulation-style fitness function was also performed, and the virtual plants were adapted to maximize the fitness function.

Representation

Artificial life

Metaverse

10.1109/icec.1998.699854

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Citations (30)

Security in Cloud Computing

IGI Global eBooks (2012)

Alpana M. Desai Kenrick Mock

Cloud computing has recently emerged in prominence and is being rapidly adopted by organizations because of its potential and perceived benefits of flexibility and affordability. According to surveys conducted in 2008 and 2009 by International Data Corporation (IDC) of IT executives and CIOs, security was cited as the top concern for the adoption of cloud computing. Enterprises that plan to utilize cloud services for their infrastructure, platform, and/or software needs must understand the security risks and privacy issues related to cloud computing. This chapter discusses the technical, legal, and policy/organizational security risks of cloud computing, and reviews recommendations/strategies for managing and mitigating security threats in cloud computing. It also presents vendor-specific solutions and strategies that cloud service providers are implementing for mitigating security risks in cloud computing.

10.4018/978-1-4666-2187-9.ch011

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Citations (18)

The use of internet tools to supplement communication in the classroom

Journal of computing sciences in colleges (2001)

Kenrick Mock

This paper describes the author's experiences using online communication tools to supplement classroom-based instruction. In particular, I examined the use of online bulletin boards, online chat, instant messaging, e-mail, and online surveys with CS courses from 1996 to 2001. All of these tools are now readily available and have the potential to foster new avenues for student interaction that are not possible without an online environment. However, unlike the film Field of Dreams, the mantra If you build it, they will come does not necessarily apply to online tools. In case studies, student participation was generally low unless the students were either motivated or were given an explicit assignment using the tool. Each tool also has their own strengths and weaknesses. Bulletin boards are good for extended discussions and wide information dissemination but requires motivation or structure. Participants enjoyed online chat but it was difficult to organize students together simultaneously. Instant messaging was favored over online chat rooms due to its asynchronous nature and notification features. Surveys indicated that students regarded the availability of online tools favorably and remarked that they would like more student involvement. I also found the surveys to be a useful mechanism to gauge student perceptions. My experiences to date indicate that the most utility is garnered from these tools when they are actively integrated with the course curriculum.

Online chat

Instant messaging

Chat room

Bulletin board

Online discussion

Mantra

Strengths and weaknesses

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Citations (15)

Revolutionizing Education with Large AI Models

Technology & Innovation (2024)

Ge Wang Helena S. Wisniewski Kenrick Mock

In November 2022, ChatGPT was released for public use, and its launch is widely considered as a solid step toward artificial general intelligence. Since then, other large language models, such as Bard, Bing AI, LLaMA, and others have shown competitive or better performance than ChatGPT. This type of amazing chatbot has two sides. Its negative side has already provoked educational institutes to revise rules prohibiting students from using it to aid their coursework, including exams. In this editorial commentary, we focus on the positive side of the chatbot, suggesting potential use cases, discussing relevant issues, and proposing next steps.

10.21300/23.1.2023.7

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Citations (0)

Cyberspace Game Show Hosts : Agents for Socialization, Not Just Entertainment

Kenrick Mock Leora Lawton Michelle Hoyle

As the Internet has grown in size and popularity, the Internet medium has changed from an educational and technical content to a social and entertainment content. The Lycos search service estimates that the number of WWW pages has grown from 5 million to 6.89 million pages during the months of April to June of 1995, and will reach 10 million pages by 1996. A large number of these pages are devoted to personal pages, whereas only a few years ago personal pages were nonexistent. Similarly, the EFnet Internet Relay Chat (IRC) servers have grown from supporting several hundred concurrent users in 1991 to over 20,000 concurrent users in 1996. Both the WWW and IRC are becoming active vehicles of socialization and entertainment. This paper focuses on the technical and social aspects of a set of games designed by the authors that run on IRC, and how AI techniques can augment these games. In particular, we examine the game Risky Business, an online trivia game hosted by a computer program or bot, short for robot. In addition to providing entertainment, the computer game show host also supports a unique setting that real-life game show hosts never encounter: the opportunity to interact in real-time with thousands of players, 24 hours a day, and become a cornerstone of their social interaction in cyberspace.

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Socialization

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Citations (1)

Hierarchical Heuristic Search Techniques for Empire-based Games.

International Conference on Artificial Intelligence (2002)

Kenrick Mock

Computer games have long been a fruitful and challenging area for the application of AI technologies. The empire-based strategy game is one genre that presents unique challenges to the implementation of an AI-based player due to the extremely large search space. Consequently, a majority of AI systems utilize ad hoc strategies such as hand-built finite state automata. While practical, this approach limits the computer player to the strategies designed by the programmer. A more flexible approach allows the computer to adaptively search for promising moves. This paper proposes a hierarchical architecture that breaks the problem space into manageable units. Through aggressive pruning strategies heuristic search may be employed across the hierarchical levels. The new search space examines approximately (nm) states for m moves, n pieces, and a search depth of d. In comparison, full search requires the examination of approximately (m) states. This technique was implemented on a simple empire-style game that generated expected results

Pruning

Programmer

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Citations (7)

Social Implications of Distance Education in Alaska

IGI Global eBooks (2009)

Bogdan Hoanca Kenrick Mock

Alaska is the largest and most sparsely populated state in the United States of America. Extreme weather patterns and extreme cultural diversity compound the challenge of delivering quality education to state residents in remote areas. E-learning technologies have emerged as a cost-effective, interactive means of delivering quality teaching to even the most isolated locations in the state. Additionally, the ability to archive content and to access it at will, in an asynchronous manner, is highly suited to the different learning styles and different learning rates of the various populations in the state. This chapter introduces the challenges associated with delivering e-learning in Alaska, reviews the historical evolution of distance-learning networks, and summarizes present achievements and future opportunities. The analysis includes K-12 education, higher education and professional continuing education.

Asynchronous learning

10.4018/978-1-60566-056-1.ch097

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Citations (0)

ntelligent News Filtering

Kenrick Mock

As the size of the Internet increases, the amount of data available to users has dramatically risen, resulting in an information overload for users. This work involved the creation of an intelligent information news filtering system named INFOS (Intelligent News Filtering Organizational System) to reduce the user's search burden by automatically eliminating Usenet news articles predicted to be irrelevant. These predictions are learned automatically by adapting an internal user model that is based upon features taken from articles and collaborative features derived from other users. The features are manipulated through keyword-based techniques and knowledge-based techniques to perform the actual filtering. Knowledge-based systems have the advantage of analyzing input text in detail, but at the cost of computational complexity and the difficulty of scaling up to large domains. In contrast, statistical and keyword approaches scale up readily but result in a shallower understanding of the input. A hybrid system integrating both approaches improves accuracy over keyword approaches, supports domain knowledge, and retains scalability. The system would be enhanced by more robust word disambiguation.

Information Overload

Information filtering system

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Hybrid hill-climbing and knowledge-based methods for intelligent news filtering

National Conference on Artificial Intelligence (1996)

Kenrick Mock

Information Overload

Benchmark (surveying)

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Citations (13)