Call for Papers: Artificial Intelligence for Cognitive Psychology
Dr. Priyan Malarvizhi Kumar, Middlesex University, Dr. Hari Mohan Pandey, Edge Hill University, Dr. Gautam Srivastava, Brandon University
Submissions Due: August 4, 2020
Artificial Intelligence (AI), or machine intelligence, can be defined as the intelligence exhibited by machines and computers in accomplishing desired tasks in a similar way to how human beings think and act. For a computational system to be artificially intelligent, the system should possess the ability to understand the surrounding environment, make proper assumptions, and based on the circumstances make judicious decisions that maximize the possibilities of accomplishing goals most of the time. These AI enabled devices are also called Intelligent Agents. Intelligent Agents use some mapping functions (also termed cognitive functions) which take environmental parameters and contextual information as inputs along with the goal to be accomplished and manipulate the right means to accomplish the targeted goal. Artificial Intelligence can also be considered inter-disciplinary, since the field uses several other disciplines such as Machine Learning, Computer Vision, Cognitive Science, Neural Networks, Data Mining, Natural Language Processing (NLP), robotics and mathematics. All are fused together to help the Intelligent Agents to understand and adapt to the surrounding environment according to the context.
Cognition can be defined as the process by which input from any sensory device is fetched, transformed, expanded, reduced, recovered, or finally used. Cognition is instinctive and driven through stimulus, and is concerned with the stimulations received by different sense organs and these stimulations in turn shaping into different actions. Cognitive psychology deals with the study of mind mapped processes such as listening, understanding, attentiveness, interest, use of language, memory, analytical thinking, learning, creative thoughts, and problem solving. Cognitive psychology has been considered a major research area, especially when it comes to learning and understanding human behavior according to stimulus input received by a sensory organ. This aspect has been imbibed into deep learning to study, understand, and develop systems that can feed information from the stimulated input and transform these inputs into decisions. Several behavioral traits used to understand the deep learning functions have been coupled with psychology to develop high end sophisticated human cognitive functions. However, the multilayered nature and also the fact that deep learning neural networks are considered statistical learners make this less adaptable and scalable.
The challenge especially when Artificial Intelligence principles are applied to cognitive psychology lies in the fact that these stimulated inputs should be represented as suitable to the Artificial Intelligence based classifier, and the mapping functions should be clearly defined and encoded based on these inputs. The success of Artificial Intelligence based solutions for cognitive psychology is hugely reliant on the accuracy and decision making capabilities of the cognitive mapping functions.
This special issue on Artificial Intelligence for Cognitive Psychology serves as an excellent platform to exchange innovative, creative, and novel ideas related to exploring the opportunities of applying Artificial Intelligence principles across cognitive psychology space.
The following topics are an example of some of those that are welcome:
- Review and analysis of implications of Artificial Intelligence in cognitive psychology
- Enhancing one shot word learning in cognitive psychology
- Designing and developing effective Artificial Intelligence based matching functions for cognitive psychology
- Significance of Artificial Intelligence in shape analysis and cognitive psychology
- Application of different biases by Artificial Intelligence networks for cognitive psychology
- Matching network model architectures and Artificial Intelligence based training for cognitive psychology
- Modeling human word learning and its implications in human psychology
- Stimulus data probing and analysis in cognitive psychology
- Applications of deep learning to capture cognitive and psychological features
- Artificial Intelligence based psychological pattern analysis for wearable devises, sensors and phones
- Artificial Intelligence based Smart decision systems based on facial expressions and behavioral traits
- Artificial Intelligence based linguistic and speech analysis to study human behavior
- Artificial Intelligence based therapy to treat psychological disorders
- Artificial Intelligence inspired cognitive human behavioral analysis
- Artificial Intelligence based personality prediction and solutions to behavioral abnormalities