Dear Chittesh,

This is a good question with many possible answers and points-of-view.   It seems that it is often the case that we learn about human behaviour indirectly by considering how humans interact with other humans, the environment and machines.   In short, mathematical views of human behaviour often focus on stimulus-response modelling.

Mathematical models of human behaviour have been recently been studied in the context of epidemics in

P. Poletti, Human behaviour in epidemic modelling, Ph.D. thesis, University of Trento, 2010:

http://eprints-phd.biblio.unitn.it/422/1/tesi.pdf

Human behaviour is modelled by Poletti in terms of two mutually influencing phenomena: epidemic transitions and behavioural changes in the population of susceptible individuals (see Section 2.2, starting on page 16).

Modelling human-computer (device) interaction is the focus of

P. Eslambolchilar, Making sense of interaction using a model-based approach, Ph.D. thesis, National University of Ireland, Maynooth, 2006:

http://www.dcs.gla.ac.uk/~rod/publications/Esl07-thesisFinal.pdf

See, for example, the probabilistic framework of a model-based behaviour system in Fig. 6.13, starting on page 182.

A bit less mathematical but still very interesting model of human behaviour in terms of human-made music is given in

A. Tidemann, A groovy virtual drummer: Learning by imitation using a self-organizing connectionist architecture, Ph.D. thesis, Norwegian University of Science and Technology, 209:

http://www.idi.ntnu.no/research/doctor_theses/tidemann.pdf

For an overview of the Tidemann's approach to model and imitate human musical expressiveness, see Fig. 1.1, p. 5.

This thesis introduces the SHEILA architecture in terms of human drum-playing patterns with an accompanying melody (see Section 3, Architectuure, page 106 in the pdf file but unnumbered in the thesis).

(by James F Peters)

Chittesh,

To quickly provide a thought point, why don't you look into considering the ( Kalman Filters ) and Markov chain  sequencing approach considering the fact that human behaviors could be described as a set of a dynamic models.

I had applied a similar approach to test the sensory perception  of humans for for automotive project.

Good luck

Deepak Chandran

Dear Chittesh,

This is a good question with many possible answers and points-of-view.   It seems that it is often the case that we learn about human behaviour indirectly by considering how humans interact with other humans, the environment and machines.   In short, mathematical views of human behaviour often focus on stimulus-response modelling.

Mathematical models of human behaviour have been recently been studied in the context of epidemics in

P. Poletti, Human behaviour in epidemic modelling, Ph.D. thesis, University of Trento, 2010:

http://eprints-phd.biblio.unitn.it/422/1/tesi.pdf

Human behaviour is modelled by Poletti in terms of two mutually influencing phenomena: epidemic transitions and behavioural changes in the population of susceptible individuals (see Section 2.2, starting on page 16).

Modelling human-computer (device) interaction is the focus of

P. Eslambolchilar, Making sense of interaction using a model-based approach, Ph.D. thesis, National University of Ireland, Maynooth, 2006:

http://www.dcs.gla.ac.uk/~rod/publications/Esl07-thesisFinal.pdf

See, for example, the probabilistic framework of a model-based behaviour system in Fig. 6.13, starting on page 182.

A bit less mathematical but still very interesting model of human behaviour in terms of human-made music is given in

A. Tidemann, A groovy virtual drummer: Learning by imitation using a self-organizing connectionist architecture, Ph.D. thesis, Norwegian University of Science and Technology, 209:

http://www.idi.ntnu.no/research/doctor_theses/tidemann.pdf

For an overview of the Tidemann's approach to model and imitate human musical expressiveness, see Fig. 1.1, p. 5.

This thesis introduces the SHEILA architecture in terms of human drum-playing patterns with an accompanying melody (see Section 3, Architectuure, page 106 in the pdf file but unnumbered in the thesis).

(by James F Peters)

You can refer to the following link.

http://www.mit.edu/~amliu/Papers/PentlandLiu_NeuralComp99_v11n2.pdf

If one is speaking of adoption/adaptation of innovation, then Everett Rogers classic The Diffusion of Innovations now in its Fifth Edition is the best place to start in my view, for a relatively straightforward and yet potentially highly informative modelling approach. The diffusion methodology is derived from epedemiology and is the starting point for -all- new product marketing and sales forecasting models and methods, whether they credit Rogers or not.

On other hand, if we are talking social media modeling, then the theory of the wisdom of crowds has more to do with - animal swarm behavior modeling than modeling humans making conscious choices... or you could be better off thinking of this as an artificially intelligent agent problem, in which you are focusing again on modeling a limited set of definable behaviors....see Sebastian Thrun's AI textbook; he is now best known for his MOOC/Udacity co-founder fame. (Although so far Udacity shows he understands machines better than human learning behaviors....in my humble opinion ; )

And speaking of learning and education, there are of course a wide variety of methods for modeling these human behaviors as well as variety of approaches to technology-augmented learning.  At: https://www.researchgate.net/profile/Lee_McKnight/contributions?ev=prf_act you can find a variety of articles related to 'collaborative learning' and 'interactive learning' which could be helpful if that is part of your intended model.

Of course, there are whole fields of study such as human factors, psychology, sociology, anthropology, political science, and economics to name a few which could offer you a wide range of models and approaches to consider as well; which if any is what you seek we cannot tell from your brief question.

Basic microeconomics is all about modeling human behavior in markets and hierarchies, which can lead one to models of transaction costs, production costs, and so on...so for you any Micro 101 textbook may be the place you should start, as we can only guess from your wide-open ended question : )

Returning to business and technology - focused modeling approaches which can readily incorporate various aspects of the above disciplines into a complex system of systems model, the 'systems dynamics' modeling approach mastered at MIT's Sloan School of Management and a handful of other educational institutions can be incredibly illuminating; on other hand speaking as thesis advisor to several students who did doctoral studies employing systems dynamics models, it is highly labor intensive to do quality work. But if not done to focus of a serious doctoral thesis study, is otherwise prone to sloppy garbage in - garbage out glaring conceptual errors. Although still offering a false impression of rigor and precision because of the model's complexity.   

Work on 'Coordinating User and Device Behaviors' by Lee Warren McKnight may offer you some possible thoughts and approaches; again depending upon what one is trying to accomplish. If what you are thinking of is relevant to cognitive radios and dynamic wireless networks and smart devices...and Internet of Things and clouds...and humans interacting across networks and devices....then check it out in revised form as as a chapter in the Fitzek and Katz Springer book 'Cognitive Wireless Networks' (2007) or you can find an earlier version also in his Researchgate.net publication list that was published by CMU in 2003.

(answers from Lee Warren McKnight)

The following links will be useful for you. I hope the answers may help you. Good Luck.

https://www.researchgate.net/publication/261562319_Interactive_Learning_through_Wireless_Grids

https://www.researchgate.net/publication/261596084_Emergent_learning_through_playful_interactions_and_serious_games_when_combining_ambient_intelligence_with_wireless_grids

https://www.researchgate.net/publication/259598350_A_Failure_to_Communicate_Security_Vulnerabilities_in_the_GridStreamX_Edgeware_Application

https://www.researchgate.net/publication/236687666_Coordinating_User_and_Device_Behavior_in_Wireless_Grids

https://www.researchgate.net/publication/45816327_Wireless_Grids_Assessing_a_New_Technology_from_a_User_Perspective

https://www.researchgate.net/publication/222650486_Content_pricing_in_the_Internet

https://www.researchgate.net/publication/37592877_Show_Me_the_Money_Contracts_and_Agents_in_the_Service_Level_Agreement_Markets

Article Show Me the Money: Contracts and Agents in the Service Level...

Article Wireless Grids: Assessing a New Technology from a User Perspective

Article Content pricing in the Internet

Chapter Coordinating User and Device Behavior in Wireless Grids

Data A Failure to Communicate: Security Vulnerabilities in the Gr...

Article Interactive Learning through Wireless Grids

Conference Paper Emergent learning through playful interactions and serious g...

Hi,

Design ANN model for predicting consumer buying behavior. For this you need to train the model with dataset of adequate size.

Super market purchases depend mostly on consumption at home, which in the case of which food is consumed depends on daily time and effort in food-preparation in the kitchen, where the time and effort competes with other demands—rest as a prime example.  

It is a fact that modeling of rest—as germane to the capacity for work and purchases and consumption—is necessarily absent from university economics (see “Unified Micro/Macro-Economic Theory Linking Productivity to Risk and Completing Input/Output Substitution”), because, as a consumption-duration (of bed, sheets, pillows, sleeping pills, alarm clock, etc.), it would unrealistically expand (in any neoclassical model) to balance rest marginal utility versus work marginal utility, exclusive of consumable marginal utility.

 So---anything approximating a complete, rigorous—and accurate—model of your task is out-the-window in university economics. But what you can do is:  make up a model along the lines of the foregoing suggestions—the more mathematically sophisticated the better. …Accuracy, however, remains problematic.

ya this will be varying with time as well as space! so to judge lot of uncertainties have to be considered while modeling consumer behavior depending on resources already he has and what is his most desirable demand!

I would suggest reading behavioral economics papers and use the models there (such as herd behaviour, hyperbolic time discounting, base rate fallacy during calculations, etc)

I think 'self-herding' might be a concept most useful to you (see Dan Ariely's work on this)