THE SOCIETY OF MIND: M. MINSKY'S IDEAS ABOUT INTELLECTUAL AGENTS

2020 ◽  
Keyword(s):  
Society Of Mind

The China Brain Project

2010 ◽  
pp. 330-359 ◽  
Author(s):  
Hugo de Garis ◽  
Chen Xiaoxi ◽  
Ben Goertzel
Keyword(s):  
Evolutionary Engineering ◽  
Neural Net ◽  
Research Project ◽  
Engineering Approach ◽  
Artificial Brain ◽  
Society Of Mind ◽  
Artificial Brains

This chapter describes a 4 year research project (2008-2011) to build China’s first artificial brain. It takes an “evolutionary engineering” approach, by evolving 10,000s of neural net modules, (or “agents” in the sense of Minsky’s “Society of Mind” [Minsky 1988, 2007]), and connecting them to make artificial brains. These modules are evolved rapidly in seconds on a “Tesla” PC Supercomputer, and connected according to the artificial brain designs of human “BAs” (Brain Architects). The artificial brain will eventually contain thousands of pattern recognizer modules, and hundreds of decision modules that when suitably combined will control the hundreds of behaviors of a walking, talking robot.

The society of mind

1991 ◽  
Vol 48 (3) ◽  
pp. 335-339 ◽  
Author(s):  
Matthew Ginsberg
Keyword(s):  
Society Of Mind

Society of Agents

2018 ◽  
Vol 14 (4) ◽  
pp. 1-23 ◽  
Author(s):  
Steven Walczak
Keyword(s):  
Problem Solving ◽  
Multi Agent Systems ◽  
New Classification ◽  
Conceptual Foundation ◽  
Agent Systems ◽  
Multi Agent ◽  
Coordination And Collaboration ◽  
Agent Coordination ◽  
New Framework ◽  
Society Of Mind

The development of multiple agent systems faces many challenges, including agent coordination and collaboration on tasks. Minsky's The Society of Mind provides a conceptual view for addressing these multi-agent system problems. A new classification ontology is introduced for comparing multi-agent systems. Next, a new framework called the Society of Agents is developed from Minsky's conceptual foundation. A Society of Agents framework-based problem-solving and a Game Society is developed and applied to the domain of single player logic puzzles and two player games. The Game Society solved 100% of presented Sudoku and Kakuro problems and never lost a tic-tac-toe game. The advantage of the Society of Agents approach is the efficient re-utilization of agents across multiple independent game domain problems and a centralized problem-solving architecture with efficient cross-agent information sharing.

A Decision Making Method Based on Society of Mind Theory in Multi-Player Imperfect Information Games

2020 ◽  
pp. 317-329
Author(s):  
Mitsuo Wakatsuki ◽  
Mari Fujimura ◽  
Tetsuro Nishino
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Imperfect Information ◽  
Card Game ◽  
Mind Theory ◽  
Imperfect Information Games ◽  
Game Players ◽  
The University ◽  
Society Of Mind ◽  
Information Games

The authors are concerned with a card game called Daihinmin (Extreme Needy), which is a multi-player imperfect information game. Using Marvin Minsky's “Society of Mind” theory, they attempt to model the workings of the minds of game players. The UEC Computer Daihinmin Competitions (UECda) have been held at the University of Electro-Communications since 2006, to bring together competitive client programs that correspond to players of Daihinmin, and contest their strengths. In this paper, the authors extract the behavior of client programs from actual competition records of the computer Daihinmin, and propose a method of building a system that determines the parameters of Daihinmin agencies by machine learning.

Selfless Minds

2017 ◽  
Author(s):  
Francisco J. Varela ◽  
Evan Thompson ◽  
Eleanor Rosch
Keyword(s):  
Cognitive Science ◽  
Central Element ◽  
Distributed Networks ◽  
The Other ◽  
Small Scale ◽  
Symbolic Processing ◽  
Recent Proposal ◽  
Middle Way ◽  
The Mind ◽  
Society Of Mind

This chapter looks at Marvin Minsky's and Seymour Papert's recent proposal to study the mind as a society, which takes the patchwork architecture of cognition as a central element. Minsky and Papert present a view in which minds consist of many “agents” whose abilities are quite circumscribed: each agent taken individually operates only in a microworld of small-scale or “toy” problems. This model of the mind as a society of numerous agents is intended to encompass a multiplicity of approaches to the study of cognition, ranging from distributed, self-organizing networks to the classical, cognitivist conception of localized, serial symbolic processing. The society of mind purports to be, then, something of a middle way in present cognitive science. This middle way challenges a homogenous model of the mind, whether in the form of distributed networks at one extreme or symbolic processers at the other extreme.

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