The Engineering of Cooperation Promise Theory Basics

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Learn to use basic patterns that underpin cooperation in human-technology enterprise in two 2hr sessions over 2 days

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No one can make a promise for YOU, only YOU can do that. This simple fact has very-wide-scope implications for getting people and technology to work together -- especially when scaling services and organizational changes. Promise Theory provides a framework for understanding decision-making, leadership, teamwork, collaboration, and organizational change at scale.

Promise Theory says that an approach for scaling human systems ought to also work well for scaling computer systems, and vice-versa. Now what is interesting about this is the fact that a network of autonomous agents, who independently make and keep promises, is a proven way to scale. Scaling in this way does not decay throughput as additional nodes and agents are added. Promise Theory describes a strategy for achieving linear scalability through scale-free networks. Promise Theory describes the mechanics of cooperation at scale. It confirms the underlying premises of Invitation-Based Change™, Inviting Leadership™ and the Eight Open Patterns of Business Agility™.

In two two-hour sessions you'll get introduced to the most basic rules of Promise Theory - what makes it tick, and then progress through some chosen topics from th Open Leadership Network Core Patterns:

1. Acceptance vs Agreement

2. Common Knowledge

3. Services (on demand and self-)

4. Responsibilty for outcomes

5. Rights, Permissions, and Privileges

6. Authorization

7. Invitation

8. Leadership

With the course, you'll get access to 5 minute videos on each topic to follow up after the sessions are over.

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