The Nature of Knowledge: a Frame-Based Approach


Slots and Types A slot is a data structure that holds a value within a particular domain at any given time. Slots represent abstract types and the values held at any given time represent instances of the types, where the domain is the set of known instances of the type. Each possible value is mutually … Continue reading The Nature of Knowledge: a Frame-Based Approach


Linguistic Development and Constructed Meaning

The following is an explanation of the various forms of information, as well their applications, within this system. Classes Data is passed through sensors and stored in an input vector, where local contrast is measured over space to extract feature vectors. Spatial patterns, called objects, are detected as relationships between features over space, while temporal … Continue reading Linguistic Development and Constructed Meaning


Social Intelligence in Multi-Agent Systems

Messages, Cooperation, and Sharing Knowledge An agent is a knowledge-seeking system that stores and communicates information to/from a social environment, which is a network of communication lines that transmit signals between agents. If an agent does not recognize the information received, it sets a goal to obtain information that might lead to a clearer understanding. … Continue reading Social Intelligence in Multi-Agent Systems

Emergence of Linguistic Capacity in Evolving Multi-Agent Systems

The following paper describes a theoretical model of language acquisition, comprehension, and production using a distributed multi-agent system. The system is composed of a society of agents who communicate by sending and receiving phonological signals across a social network. Every individual agent contains an internal system of subagents that are specialized to each perform a … Continue reading Emergence of Linguistic Capacity in Evolving Multi-Agent Systems

Propaganda in 3 Steps

A quick outline of the fundamental steps of propaganda. State the problem (anxiety) State the source (projection) State the solution (relief) The problem must be something that exists within the audience The source must be something that exists outside the audience's control The solution must be something obtainable by the audience 

Hierarchical Model of Agent Intelligence

Agents are primarily composed of two embedded sub-agents that work in tandem: the manager agent, who’s responsible for decision-making and reinforcement, and the employee agent, who is in compliance with the manager, performing various tasks when they are delegated, and reporting back to the manager with information that is processed and stored, so that the … Continue reading Hierarchical Model of Agent Intelligence

Maintaining a Sense of Purpose and Long-Term Goals

It is fundamentally human for us to lose track of why we're doing what we're doing while in the middle of long-term projects. From an evolutionary perspective, exhaustion prevents you from behaving in ways that lead to inefficient use of resources. More generally, exhaustion is a form of optimization related to a classic reinforcement concept … Continue reading Maintaining a Sense of Purpose and Long-Term Goals

Self-Organizing Predictions

For an implementation of the algorithm, see Prediction Template Learning on Github. Prediction Agents How can we possibly know anything about the future if it hasn’t happened yet? That’s easy: by looking at the past. When we experience a novel event or feeling, especially those with emotional connotations, we are driven to reproduce it. We ask ourselves, … Continue reading Self-Organizing Predictions