Capabilities of the free energy model of the brain compared to semantic network and ACT-R models

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Ghasimi Jamshid; Eshghi Farshad; Kelarestaghi Manoochehr; Mir Mohammad Sadeghi Mohsen

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Journal: Advances in Cognitive Sciences Year:2022 | Volume:23 | Issue:4 Page(s): 130-144

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Information Journal Paper

Title

Capabilities of the free energy model of the brain compared to semantic network and ACT-R models

Author(s)

Ghasimi Jamshid | Eshghi Farshad | Kelarestaghi Manoochehr | Mir Mohammad Sadeghi Mohsen | Issue Writer Certificate

Keywords

Semantic networks

ACT-R

Free energy model

Active inference

Abstract

Introduction: Different cognitive models representing the brain’ s cognitive processes in areas such as psychology and artificial intelligence have been proposed that have many uses. Given the objectives of these models, the most important of which is to study the characteristics of the brain in the process of performing excellent cognitive functions, patient rehabilitation, and intelligent machines, it is necessary to review and compare the proposed models carefully. Methods: In this study, by collecting library data, information about three cognitive models, namely the cognitive models of Semantic networks, ACT-R, and free energy of the brain, were examined. Results: The semantic network model has the ability to produce semantic (declarative) knowledge. The ACT-R model, which is one of the most practical human cognitive models, provides the possibility of producing declarative and procedural knowledge (skills). Models of Semantic networks and free energy require programming, while the ACT-R model is presented in the form of application software. The Free energy model of the brain works similarly to human inferences by generating a variety of declarative, procedural, and conditional knowledge by updating sensory concepts and perceptions received, as well as previous hypotheses based on Bayesian probabilistic inferences, and by minimizing the free energy of the brain. Conclusion: Despite the complexity of the Free energy model, due to its more significant comprehensiveness, in describing cognitive functions such as perception, learning, attention, decision making, and analysis of human cognitive diseases could give better and broader results.

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APA: Copy

Ghasimi, Jamshid, Eshghi, Farshad, Kelarestaghi, Manoochehr, & Mir Mohammad Sadeghi, Mohsen. (2022). Capabilities of the free energy model of the brain compared to semantic network and ACT-R models. ADVANCES IN COGNITIVE SCIENCE, 23(4 ), 130-144. SID. https://sid.ir/paper/954944/en

Vancouver: Copy

Ghasimi Jamshid, Eshghi Farshad, Kelarestaghi Manoochehr, Mir Mohammad Sadeghi Mohsen. Capabilities of the free energy model of the brain compared to semantic network and ACT-R models. ADVANCES IN COGNITIVE SCIENCE[Internet]. 2022;23(4 ):130-144. Available from: https://sid.ir/paper/954944/en

IEEE: Copy

Jamshid Ghasimi, Farshad Eshghi, Manoochehr Kelarestaghi, and Mohsen Mir Mohammad Sadeghi, “Capabilities of the free energy model of the brain compared to semantic network and ACT-R models,” ADVANCES IN COGNITIVE SCIENCE, vol. 23, no. 4 , pp. 130–144, 2022, [Online]. Available: https://sid.ir/paper/954944/en

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