Behavior informatics

Behavior informatics ( BI ) is the information of behaviors so as to obtain behavior intelligence and behavior insights. [1]

Different from applied behavior analysis [2] from the psychological perspective, BI builds computational theories, systems and tools to qualitatively and quantitatively model, Represent, analyze, and manage Behaviors of Individuals, groups and / or organisms [1] .

BI is built one classic study of behavioral science [3] Including behavior modeling , applied behavior analysis , behavior analysis , behavioral economics , and organizational behavior . Typical BI tasks Consist of individual and group behavior training, representation, [4] computational modeling, [5] analysis, [6] learning, [7] simulation, [8] and understanding of behavior impact, utility, non-occurring Behaviors etc. . For behavior intervention and management.

Behavior analytics

Behavior informatics covers behavior analytics which focuses on analysis and learning of behavioral data.

Behavior

From an informa t ics perspective, a behavior consists of four key elements: actors (behavioral subjects and behavioral objects), operations (actions, activities) and interactions, and their properties. A behavior can be represented as a behavior vector, all behaviors of an actor can be represented as behavior sequences and multi-dimensional behavior matrix.

References

  1. Jump up^ Cao, Longbing (2010). “In-depth Behavior Understanding and Use: the Behavior Informatics Approach”. Information Science . 180 (17): 3067-3085. Doi : 10.1016 / j.ins.2010.03.025 .
  2. Jump up^ Fisher, Wayne W .; Piazza, Cathleen C .; Roane, Henry S. (eds.) (2011). Handbook of Applied Behavior Analysis . The Guilford Press.
  3. Jump up^ Hinkle, DE; Wiersma, W .; Jurs, SG (2002). Applied Statistics for the Behavioral Sciences: Applying Statistical Concepts . Wadsworth Publishing.
  4. Jump up^ Wang, Can; et al. (2015). “Formalization and Verification of Group Behavior Interactions”. IEEE T. Systems, Man, and Cybernetics: Systems . 45 (8): 1109-1124.
  5. Jump up^ Ilgen, DR; Hulin, CL (Eds.) (2000). Computational Modeling of Behavior in Organizations: The Third Scientific Discipline . American Psychological Association.
  6. Jump up^ Pierce, WD; Cheney, CD (2008). Behavior Analysis and Learning . Psychology Press.
  7. Jump up^ Xu, YS; Lee, KC (2005). Human Behavior Learning and Transfer . CRC Press.
  8. Jump up^ Zacharias, GL; MacMillan, J. (Eds.) (2008). Behavioral Modeling and Simulation: From Individuals to Societies . National Academies Press.

Leave a Comment

Your email address will not be published. Required fields are marked *