Autosoft Journal

Online Manuscript Access

A Novel Approach for Designing a Cognitive Sugarscape Cellular Society Using An Extended Moren Network



Artificial life is a term used to describe man-made systems that have been designed to behave in ways that simulate the behavior of natural living systems. Agent-based modeling of social processes is called artificial society. The Sugarscape model is used to model, interpret, and organize social, political, and economic processes in an artificial society. In science, cognition refers to a whole series of mental processes, including attention, memory, language comprehension and production, and learning. The aim of this study was to develop a cognitive Sugarscape model. A Sugarscape model was designed, and the agents were placed in the environment randomly; the parameters of the model, such as sugar level and metabolism, were assigned to the agent randomly. In the present study, learning was applied in the Sugarscape model by the Moren algorithm and compared with the learner Sugarscape model that used the Boltzmann learning algorithm in previous studies. The results of the comparison showed that the number of agents in the sugar peaks in the convergent time of the cognitive Sugarscape model exceeded those in the learner Sugarscape model that used the Boltzmann learning algorithm.



Total Pages: 9
Pages: 193-201


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways

Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Volume: 22
Issue: 2
Year: 2015

Cite this document


An, Li. "Modeling Human Decisions in Coupled Human and Natural Systems: Review of Agent-Based Models." Ecological Modelling 229 (2012): 25-36. Crossref. Web.

Beheshti Z. International Journal of Advanced Software Computing Applications

Bigbee, Anthony, Claudio Cioffi-Revilla, and Sean Luke. "Replication of Sugarscape Using MASON." Agent-Based Approaches in Economic and Social Complex Systems IV 183-190. Crossref. Web.

Daryabeygi, A. (2009). Electrical drives controlled by an intelligent controller based on emotional learning in the Human Brain . "M.Sc." Thesis on electrical, Islamic Azad University Najaf abad Branch.

Epstein J. M. Growing artificial societies: Social science from the bottom up

Friedenberg J. Cognitive science: An introduction to the study of mind

Ghanbari A. A. IJCSI International Journal of Computer Science Issues

Gholipour A. WSEAS Transactions on Systems

Balkenius, Christian, and Jan MorEn. "EMOTIONAL LEARNING: A COMPUTATIONAL MODEL OF THE AMYGDALA." Cybernetics and Systems 32.6 (2001): 611-636. Crossref. Web.

Moren J. Emotion and learning-a computational model of the Amygdala

Moren J. From animals to animats

Nourafza N. International Journal of Information and Communication Technology

Nourafza, Nasim, Saeed Setayeshi, and Ahmad Khadem-Zadeh. "A Novel Approach to Accelerate the Convergence Speed of a Stochastic Multi-Agent System Using Recurrent Neural Nets." Neural Computing and Applications 21.8 (2011): 2015-2021. Crossref. Web.

Oftadehhal M. Cognitive science: An introduction to the study of mind

Rahman A. Journal of Social Welfare

Rahman A. Artificial Life

Rahman A. International Journal of Engineering

Rahman A. Environment

Rahman, Arash, Saeed Setayeshi, and Mojtaba Shamsaei Zafarghandi. "Wealth Adjustment Using a Synergy Between Communication, Cooperation, and One-Fifth of Wealth Variables in an Artificial Society." AI & SOCIETY 24.2 (2009): 151-164. Crossref. Web.

Rolls, Edmund T. "A Theory of Emotion, and Its Application to Understanding the Neural Basis of Emotion." Cognition & Emotion 4.3 (1990): 161-190. Crossref. Web.

Sadeghieh, Ali et al. "Identification and Real-Time Position Control of a Servo-Hydraulic Rotary Actuator by Means of a Neurobiologically Motivated Algorithm." ISA Transactions 51.1 (2012): 208-219. Crossref. Web.

Stillings N. A. Cognitive science: An introduction


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048