MindMeld: CEO & AI Merging of Mind & Metal Book 335-Pages

Book Review –

“As the CEO of an energy industrial company and actively involved in CEO Leadership Forums I have been following AI for more than a decade.  Indeed the promises for improving many technical tasks are interesting yet in reality often prove more complex to manage than proposed.  MindMeld was very profound in proposing that AI starts not at the bottom of the organization but with CXO decision-making and worth reading by anyone in or rising to the boardroom.” George B.

“Simply put, MindMeld is the best business book on AI ever as business leaders also need business-focused thought leadership before they make really bad decisions on AI development and delivery.” R.S.

For interviews, professional guidance, product/market research or evaluations, articles or presentations, please contact cross@gocross.com 

Book Introduction

This book MindMeld: the CEO and AI is meant to plant the seeds of knowledge about a young but growing new field. In the pursuit of this new technology, it is important to remember that technology accelerates faster and faster while increasing humanism cannot be denied.

No matter who you are or what you do, MindMeld: CEO and AI is a book you must read to understand the vast technological advancements coming your way—advancements that will impact how you do business… how you make decisions… how you communicate… how you live. It’s your personal guided tour into the latest trends, issues, problems, challenges, and promise of our technological past, present, and future. Beyond mere theory and speculation, you’ll see firsthand the very real developments in Knowledge Technology Artificial Intelligence and Expert Systems Visualization Knowledge Networking Systems.

In the beginning of any project there is a spark of inspiration that leads one to pursue the unknown. For the past five years, considerable research has taken place in the field of human-made machines that act or perform functions like humans. The goal of this book was to do the following:

  • Address the underlying problem that management and people are at the center of all concerns in the use and abuse of technology;
  • Recognize that communication and understanding are the limiting factors in the development of artificial or machine-based technologies;
  • Understand that technology has a social function as well as an analytical function;
  • Cope with the limitation that present technology is hardly more advanced than the Model T was in its time period and the technologies that will emerge even only 10 years from now will be as dramatically different as the jet airplane is from a candle.

Chapter 1 – Trends in Knowledge Technology examines communications and information technology in business and business management. Topics include: the move away from the pyramidal business approach; the development of virtual management, which stresses the incorporation of new technology with humanistic concerns; the multidimensional management system which recognizes the individual employee as a data base management system in itself; and computer communication, networking, and computer-aided management.

Chapter 2 – Issues in Knowledge Technology takes a look at various problem-solving strategies for use in business management, the limits of information in a machine as well as humans, the concept and limitations of time in business decision-making, and language as it relates to understanding. Important to this chapter is the emphasis on human/machine relations and how they work together, rather than deciding which is better than the other.

Chapter 3 – Expert Systems defines and explains the various aspects of this science, which is considered both a part of, and a separate entity from, AI. With an emphasis on reasoning about the knowledge underlying human expertise, as opposed to the emphasis on knowledge itself that characterizes AI, Expert Systems examines the need for establishing standards; inference, reasoning; and natural languages.

Chapter 4 – Visualization Systems are systems capable of providing simulations or models of the physical world. Still in an early development stage, visualization systems, their current status, and potential are examined. A detailed look is taken at computer-aided programs and the current state-of-the-art in such systems. Specific topics in “Visualization Systems” include conceptual information processing, spatial reasoning, and communication and information theories.

Chapter 5 – Artificial Intelligence provides a new look at AI. Most important are some of the philosophical developments that laid the groundwork for AI. Robots, as opposed to machines with intelligence, are also studied. This chapter concludes with a discussion of an architecture for intelligence. Here, the need for standards, an idea first introduced in Chapter 3, is reemphasized, and virtual processing, a mental gaming process that devises ways to probe and enhance the abilities of both the brain and the machine is introduced.

Chapter 6 – Knowledge Networking Systems are the subject of Recognized as the technology that will probably cause the most dramatic change in business and business management, these systems are studied in relation to organizational communication and corporate management. Topics in Knowledge Networking Systems include human interaction, perception, organizational relationships, organizational networking, decision making, and online idea exchanges.

Chapter 7- Metal Models (that’s correct, not mental models) review human mental and machine (metal) modeling, examining ambiguity as one of the most important characteristics that currently separates humans from devices. Thought processing applications are discussed as they relate to the sales and marketing field, with a particular look various programs and approaches supplies the end users with the building blocks for applications such as project management, software management, financial planning, marketing, field engineering, and virtually any endeavor that requires manipulation, tracking, and communication of ideas between people over time.”

Chapter 8 – Future Trends concludes the book. Planning and methodologies for the practical applications of knowledge engineering are reviewed; a sample business plan and a short term information resource management plan are also included. Anticipation technologies are discussed as issues for future users and designers of artificial intelligence. The text ends with a reemphasis of the need for a working relationship between the people and the technology: “The interdependence of technology and behavior cannot be overemphasized.

This book is meant to plant the seeds of knowledge, to instill that sense of wonder about a young, but growing new field. In the pursuit of this new technology, it is important to remember that humanism cannot be denied. MindMeld is meant to expand “human effectiveness and efficiency,” not replace it.

Table of Contents

Chapter 1 – Introduction

– Knowledge Technology Limitations and Possibilities

– Technology in Business Management

– Management Styles and Technology

– Professional and Lifestyle Associations

– Knowledge Management in an AI Mind Meld

– Information providers

– Knowledge Users

– Power brokers

– Knowledge Processing

– Knowledge Innovation

– CEOs and AI

– Multidimensional Management Systems (MMS)

– Intelligence-Aided Decision-Making (IAD)

– Organizational Marketing

– Virtual Management (VM)

– Emerging Virtual CEO

– Key Factors in Virtual CEO

– Steps Leading to Virtual Management

– Management Operation Centers and VM

– Virtual Management In Action

– AI Melded Management and Communications

– Matrix Organization

– Virtual Workplace

– Communications Technology and Management

– CEO AI-Melded Strategies

– Group Decision-Making and AI Melded Technology

– Summary

Chapter 2 – Issues in Knowledge Technology

– Gaming as Business Strategy

– Problem-Solving Strategies

– Gaming as Business Strategy

– Reasoning environments

– Guessing

– The Systematic-Intuitive Approach

– Channels of Distribution or Span of Control

– Real Time: Can Machines Think?

– Understanding & Feelings

– Summary

Chapter 3 – Expert Systems

– What If?

– Expert Torque

– Standards

– Inference, Reasoning & Knowledge

– Harvesting Expertise

– Heuristics and Mathematical Models

– Machine-human environments

– Heuristic models and programs of the mind

– Vertical Intelligence

– Lateral Intelligence

– Oblique Intelligence

– AI Management Formats

– Prototypes

– Parsing

– Language Mapping

– Expert Systems and Artificial Intelligence

– Knowledge Versus Reasoning

– Expert Systems – Differences

– Designing an Expert Systems

– AI and Commonsense Reasoning

– Reasoning Horizons

– Language and the Machine

– AI Fantasies

– Scientific Methods

– Heuristics as Hypothesis

– Metaphors

– Natural Languages

– Natural Languages and Understanding

– Diverse interpretations

– Language Development

– Nodes and Languages

– Infinite Structures

Chapter 4 – Visualization Systems

– Introduction

– Conceptual Information Processing

– Spatial Reasoning

– Communication Theory Versus Information Theory

– Entropy

– Machine Intelligence Technology

Chapter 5 – Artificial Intelligence

– AI Systems and Variables

– Solving Well-Defined Problems

– The Universal Computing Machine – the root DNA of AI

– Effective Procedure Model

– Organizational Gaming Modeling

– Game Theory

– AI and Business

– Robotics

– Architecture for Intelligence

– The Thinking Level

– Virtual Processing

– Virtual Processing At Work

– Parallel Connections—Liveware & MachineAware

Chapter 6 – Knowledge Networking Systems

– Life in the Nano Fast Lane

– Organizational Communications

– Human Interactions

– Perils of Immediate-Instant Communications

– Leadership though Knowledge Networking

– How-To Knowledge Network

– Nature of Meaning and Messages

– Organizational Relationships

– Organizational Intelligence System

– Corporate Management

– Organizational Networking

– Decision-Making – CEO Level AI

– Idea Exchange

– Evidence Trail

– Time management

– Neural Networks

– Delphi – AI-Driven Decision-Making

– AI Learning Systems

Chapter 7 —Metal Models

– Mechanization of Knowledge

– Ergonomics

– Modeling States of Mind

– The State of Metal Mind

– Metal Model Building and Ambiguity

– Metal Business Applications

– Thought Processing—Sales and Marketing

Chapter 8 – Future Trends – CEO Mind Meld

– Tactical and Strategic Considerations

– Business Strategy Analysis

– Monitoring and Environmental Tracking

– Strategic management planning

– Corporate Culture and Strategic Alliances

– Anticipation Technologies

– Body Snatchers or Watchers

– Lifestyle Path

– Integration of Anticipation technology

– AI in Communications and Information Theory

– Holographic concepts

– Anticipation machines

– Future Trends – Can We Really Predict Anything

– Future Management



The author and publisher of this book have used their best efforts in preparing this book and the programs contained in it. These efforts include the development, research, and testing of the theories and programs to determine their effectiveness. The author and publisher make no warranty of any kind, expressed or implied, with regard to these programs or the documentation contained in this book. The author and publisher shall not be liable in any event for incidental or consequential damages in connection with, or arising out of, the furnishing, performance, or use of these programs.