The society of mind
Unified theories of cognition
Cognitive science: an introduction
Cognitive science: an introduction
Intelligent behaviour in animals and robots
Intelligent behaviour in animals and robots
Artificial minds
Cambrian intelligence: the early history of the new AI
Cambrian intelligence: the early history of the new AI
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Human Problem Solving
Metacognition in computation: a selected research review
Artificial Intelligence
Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics (Handbook of Computational Economics)
Em-one: an architecture for reflective commonsense thinking
Em-one: an architecture for reflective commonsense thinking
Linking perception and action through motivation and affect
Journal of Experimental & Theoretical Artificial Intelligence
The grounding of motivation in artificial animals: Indices of motivational behavior
Cognitive Systems Research
Hi-index | 0.00 |
This research investigates the concept of mind as a control system using the "Society of Agents" metaphor, whereby the whole is described as the collective behavior of simple and intelligent agents. This powerful concept for mind research benefits from the use of metacognition, and eases the development of a self configurable computational model. A six tiered SMCA (Society of Mind Cognitive Architecture) control model is designed that relies on a society of agents operating using metrics associated with the principles of artificial economics in animal cognition. Qualities such as level of decision making, its cost function and utility behavior (the microeconomic level), physiological and goal oriented behavior are investigated. The research builds on current work, and shows the use of affect norms as metacontrol heuristics enables the computational model to adapt and learn in order to optimize its behavior.