Complex Systems Approach to Emotionally-aware Learning Environments

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Agent technologies have emerged from Artificial Intelligence and Social Sciences studies to become an emergent filed within main stream Software Engineering. Their characteristics of scalability, robustness, and easy maintainability made them attractive technique for modelling and implementing variety of systems especially Complex Systems. Whilst their similarity to objects in object-oriented systems make them easy to model and implement using extended versions of existing tools, their association with AI and human notion of agency keep them an ever evolving field.

In this talk, we will be looking at some of our current projects on emotions and intelligent learning environments to a proposal for a new more concentrated effort for emotionally-aware learning environments by utilising intelligent agents concepts and complex systems principles. The presentation will give general background on Cognitive Agents and Emotions Modelling, and on some interesting recent developments in Complex Systems.

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Complex Systems Approach to Emotionally-aware Learning Environments

  1. 1. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Complex Systems Approach to Emotionally-aware Learning Environments Dr. Aladdin Ayesh Reader in Artificial Intelligence De Montfort University Talk given at Loughborough University January 8, 2014 Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  2. 2. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Agenda 1 2 3 4 5 Agents and Complex Systems Notion of Agency Agents as structures and architectures Context Oscillating Emotions Modelling Emotions Emotional Swarms Relevant Projects eLearning Mobility Text Mining Emotions in Learning Environments Collaboration with Valencia University Collaboration with DMU Engineering Complex Systems Network and New Projects Conclusion Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  3. 3. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Notion of Agency: The Principle Agent technologies have emerged from Artificial Intelligence and Social Sciences studies to become an emergent filed within the main stream of Software Engineering. They are a fine example of complex systems and many of agents-oriented technologies became the base technologies in areas of System of Systems, Cloud Computing, and Business Intelligence amongst others. Yet these technologies are based on the principle notion of Agency. So what does this mean? To simplify the explanation let us take any ”agent” type and examine it: Estate agent (individual) Travel agent (individual) Commercial or distribution agent (company) Chemical agent (substance) What all these different agents have in common? Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  4. 4. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Notion of Agency: me, myself and I The notion of agency is encompassed in the individual (the agent) and it’s abilities to identify itself, consciously or unconsciously, in relation to it’s self, surrounding and others. This lead us to some of the principles of agents and agent-oriented systems: interaction autonomy internal representations behavioural expressions Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  5. 5. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures I From software engineering viewpoint, agents are interesting structures that can be used to build systems with: Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  6. 6. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures I From software engineering viewpoint, agents are interesting structures that can be used to build systems with: * Dynamic architectures Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  7. 7. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures I From software engineering viewpoint, agents are interesting structures that can be used to build systems with: * Dynamic architectures * Scalable Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  8. 8. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures I From software engineering viewpoint, agents are interesting structures that can be used to build systems with: * Dynamic architectures * Scalable * Robust Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  9. 9. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures I From software engineering viewpoint, agents are interesting structures that can be used to build systems with: * Dynamic architectures * Scalable * Robust * Easily Maintainable Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  10. 10. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures I From software engineering viewpoint, agents are interesting structures that can be used to build systems with: * Dynamic architectures * Scalable * Robust * Easily Maintainable * Portable Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  11. 11. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures I From software engineering viewpoint, agents are interesting structures that can be used to build systems with: * Dynamic architectures * Scalable * Robust * Easily Maintainable * Portable * Adaptable and can easily be Updated Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  12. 12. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures I From software engineering viewpoint, agents are interesting structures that can be used to build systems with: * Dynamic architectures * Scalable * Robust * Easily Maintainable * Portable * Adaptable and can easily be Updated This makes agent-based systems in compliance with most of software engineering desirable system features. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  13. 13. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures I From software engineering viewpoint, agents are interesting structures that can be used to build systems with: * Dynamic architectures * Scalable * Robust * Easily Maintainable * Portable * Adaptable and can easily be Updated This makes agent-based systems in compliance with most of software engineering desirable system features. But agents give us more ... Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  14. 14. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures II The flexibility of the agent structure and plasticity of agent’s definition, allow us to define an agent as: Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  15. 15. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures II The flexibility of the agent structure and plasticity of agent’s definition, allow us to define an agent as: - A simple data structure such as a mindless particle that is represented by Position and Velocity < P, V > Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  16. 16. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures II The flexibility of the agent structure and plasticity of agent’s definition, allow us to define an agent as: - A simple data structure such as a mindless particle that is represented by Position and Velocity < P, V > - An encompassing structure like classes in OOP with the addition of a communication interface, such is the case with most of software agents. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  17. 17. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures II The flexibility of the agent structure and plasticity of agent’s definition, allow us to define an agent as: - A simple data structure such as a mindless particle that is represented by Position and Velocity < P, V > - An encompassing structure like classes in OOP with the addition of a communication interface, such is the case with most of software agents. - An all encompassing system with a degree of autonomy and communication and interaction protocols, such is the case with cognitive agents. The complexity of the system can vary and so does the level of intelligence. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  18. 18. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures III In other words, agents can go from That exhibits intelligence only in a collective to that requires a psychologist! Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  19. 19. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures III In other words, agents can go from The Primitive That exhibits intelligence only in a collective to that requires a psychologist! Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  20. 20. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Agents as structures and architectures III In other words, agents can go from The Primitive That exhibits intelligence only in a collective to The Emotional that requires a psychologist! Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  21. 21. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Platforms There are several platforms for agents-based system development. - Jade - Repast-Simphony - Netlogo - Agentlets - Jason - FIPA-OS Two good sources of information on platforms and agents standards are FIPA and EU AgentLink. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  22. 22. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Concepts and Terminology Some basic concepts and terminologies that distinguish agent-oriented systems. - Delegation - Responsibility - Social Norms - Trust Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  23. 23. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Notion of Agency Agents as structures and architectures Context Context and Limitation Agents-oriented systems field is large and wide in scope. It is by nature a multi-disciplinary subject criss-crossing multiple areas. Thus this talk, whilst giving a birds-eye view of agent technologies, will focus on specific component of an agent, that is The Representational System In particular on representing Emotions, especially in the context of Learning Environments (LE). Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  24. 24. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Modelling Emotions Emotional Swarms Modelling Emotions Emotions work as regulators of human behaviours. They influence the actions selection process. In some cases, they act as mere preference, which often view as a reflection of the personality of the actor. In other cases, emotions are too complicated to understand in separation of the full cognitive architecture of the human mind. Modelling emotions oscillate between these two facts even in psychology of emotions one finds several theories from simple set of basic emotions to emotional spaces. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  25. 25. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Modelling Emotions Emotional Swarms Emotions Models I The simplest of emotion models are models based on Darwain’s basic emotions: Happiness, Sadness, Anger, Fear, Surprise, Disgust. The interpretation of these emotions into computational models vary from basic thresholds to a set of inference rules. Another set of computational models of emotions are based on single emotion theories, in particular stress. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  26. 26. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Modelling Emotions Emotional Swarms Emotions Models II We worked with three psychological theories of emotions: We examined these models in reinforcement learning, game character controller and facial expression analysis. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  27. 27. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Modelling Emotions Emotional Swarms Emotions Models II We worked with three psychological theories of emotions: 1 Darwin’s Basic Emotions using both discreet and fuzzy set representation. We examined these models in reinforcement learning, game character controller and facial expression analysis. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  28. 28. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Modelling Emotions Emotional Swarms Emotions Models II We worked with three psychological theories of emotions: 1 Darwin’s Basic Emotions using both discreet and fuzzy set representation. 2 Milenson 3 dimensional space of emotions using fuzzy sets type I and II, and swarm-based emotional model. We examined these models in reinforcement learning, game character controller and facial expression analysis. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  29. 29. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Modelling Emotions Emotional Swarms Emotions Models II We worked with three psychological theories of emotions: 1 Darwin’s Basic Emotions using both discreet and fuzzy set representation. 2 Milenson 3 dimensional space of emotions using fuzzy sets type I and II, and swarm-based emotional model. 3 Geneva wheel inspired model of emotions using fuzzy sets type I and II We examined these models in reinforcement learning, game character controller and facial expression analysis. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  30. 30. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Modelling Emotions Emotional Swarms Emotional Swarms I One of key applications of agent-based swarm intelligence is crowd simulation. The simplest form of crowd is flocks of birds, thus one of the earliest and most successful swarm intelligence algorithms is flocking algorithm. In simulating human crowd, however, flocking-like algorithms give us limited scope for realistic simulation. Injecting crow elements with aspects of emotional models to influence their action selection, produces interesting results, e.g. panic as an emergent behaviour rather than coded. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  31. 31. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Modelling Emotions Emotional Swarms Emotional Swarms II The greatest use of swarm algorithms, which sometimes exceed their original use in simulations, is optimization. Several machine learning algorithms were produced for this purpose: Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  32. 32. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Modelling Emotions Emotional Swarms Emotional Swarms II The greatest use of swarm algorithms, which sometimes exceed their original use in simulations, is optimization. Several machine learning algorithms were produced for this purpose: 1 Particle Swarm Optimization (PSO) is very popular with engineering applications and in most cases provide an alternative to GAs. The swarm element here is the mindless particle. Agent technologies have little or nothing to do with it. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  33. 33. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Modelling Emotions Emotional Swarms Emotional Swarms II The greatest use of swarm algorithms, which sometimes exceed their original use in simulations, is optimization. Several machine learning algorithms were produced for this purpose: 1 Particle Swarm Optimization (PSO) is very popular with engineering applications and in most cases provide an alternative to GAs. The swarm element here is the mindless particle. Agent technologies have little or nothing to do with it. 2 Ant Colony Optimization (ACO) is an advanced variation on Ant System and is very popular with solving optimization problems that can be presented as graphs, e.g. networks. Agent technologies play core role in developing these algorithms. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  34. 34. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Modelling Emotions Emotional Swarms Social Cognition There are variations on insects and other biological agents like swarms. The more complex the agents involved the more complex is the interaction and the role that sensing-feeling-emotions regulators can play such is the case in reinforcement learning. This introduces the subject of social cognition which is at the heart of many applications of crowd simulation and it is applications in business intelligence, building design, urban development, etc. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  35. 35. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Modelling Emotions Emotional Swarms Social Cognition There are variations on insects and other biological agents like swarms. The more complex the agents involved the more complex is the interaction and the role that sensing-feeling-emotions regulators can play such is the case in reinforcement learning. This introduces the subject of social cognition which is at the heart of many applications of crowd simulation and it is applications in business intelligence, building design, urban development, etc. - Social Networking ... Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  36. 36. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion eLearning Mobility Text Mining eLearning I eLearning systems are by nature distributed and dynamic systems which are perfect for the use of agents technologies. We used agents to manage the infrastructure of eLearning systems on data girds. We used them to manage the learning process itself to enable student mobility between institutes and course programs. But as the use of serious gaming and mobile devices is expanding there are several venues where agents can be used. Such as ... Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  37. 37. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion eLearning Mobility Text Mining eLearning II - Agents, coupled with gaming technologies, can be avatars for the learner in virtual and distributed class rooms. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  38. 38. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion eLearning Mobility Text Mining eLearning II - Agents, coupled with gaming technologies, can be avatars for the learner in virtual and distributed class rooms. - Agents, coupled with preference models, can be the engines behind interactive HCI to enable the learning process. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  39. 39. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion eLearning Mobility Text Mining eLearning II - Agents, coupled with gaming technologies, can be avatars for the learner in virtual and distributed class rooms. - Agents, coupled with preference models, can be the engines behind interactive HCI to enable the learning process. - Agents, coupled with policy languages, NLP, gaming and emotions, can be virtual managers of the user interaction with an eLearning system. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  40. 40. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion eLearning Mobility Text Mining Mobility I Mobile devices are spreading at a rapid speed not seen with any other technology. To enable these devices a host of hardware and software infrastructures were developed, continue to be developed and need continuous maintenance and management. Agent technologies provide solutions at the various levels of mobility from managing network infrastructure, to services run on the network, to services provided to the end user. As an example for location-based services ... Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  41. 41. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion eLearning Mobility Text Mining Mobility II With the introduction of easily accessible smartphones, Cloud Computing, 4G mobile networks, Web 2.0, and Social Media technologies, data volumes and availability are increasing exponentially. Dynamic scalable system architectures and new protocols to implement these systems are ever more needed. Equally, systems that exploit this rich stream of data are also in demands. Thus ... Content management * Sentiment Analysis * Profiling * Security are some of mobility research concerns that criss-cross agent-oriented systems research and technologies. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  42. 42. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion eLearning Mobility Text Mining Text Mining Text mining is an application field of agents as well as a necessary technology needed by intelligent agents, which may form the basis to dialogue based systems. Knowledge intensive agents are often used in text mining. Agent technologies here include: Blackboard architectures, Description logics, and Ontology. Text mining algorithms may be used in agents forming part of business intelligence system, or agent-based dialogue systems for HCI. Sentiment analysis is currently a hot topic in computational emotions research. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  43. 43. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Collaboration with Valencia University Collaboration with DMU Engineering Complex Systems Network and New Projects Emotions in ITS - I Going back to our starting point about the Notion of Agency, and the examples of estate agents, that exact notion makes agent technologies great for delivering services to the end user, i.e. HCI. The flexibility of agent-oriented systems also means that we do not have to develop a full agent or multi-agent system to use agent technology. So whilst it is not necessary to develop a full cognitive agent in an eLearning system interface, emotions and emotion models developed elsewhere can be used. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  44. 44. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Collaboration with Valencia University Collaboration with DMU Engineering Complex Systems Network and New Projects Emotions in ITS - II In delivering lectures or labs, a tutor can detect interest and concentration levels in the students. According to this highly heuristic human system, the tutor, often to successful results, adjust the delivery of the lecture to maintain interest in the subject for the majority of the class. eLearning systems in general and Intelligent Tutoring Systems (ITS) in particular lack this much needed ability. Unless ... Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  45. 45. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Collaboration with Valencia University Collaboration with DMU Engineering Complex Systems Network and New Projects Emotions in ITS - III We are trying to detect subtle emotional expressions from Facial Expressions to discern the learner emotional state, and hence concentration and interest levels. This focuses on translating facial expressions into emotional model into ”affect” or ”mental” states into an intelligent response by ITS into an adaptive user-centred service delivery. This may be extended later to include Gestures. Then it may be extended further to incorporate work being done at DMU on detecting single emotion, stress, from non-visual devices. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  46. 46. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Collaboration with Valencia University Collaboration with DMU Engineering Complex Systems Network and New Projects Emotions in Game-Based MLE This is a new project which is at a proposal stage. The idea is to use game technologies coupled with emotions and preference modelling to deliver some difficult Engineering topics. Some of the aims are: The details at this stage is limited but hopefully more will be available later in the year. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  47. 47. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Collaboration with Valencia University Collaboration with DMU Engineering Complex Systems Network and New Projects Emotions in Game-Based MLE This is a new project which is at a proposal stage. The idea is to use game technologies coupled with emotions and preference modelling to deliver some difficult Engineering topics. Some of the aims are: - To relate the topics to real world by which the complexity can be reduced and concepts can be explained in more accessible forms. The details at this stage is limited but hopefully more will be available later in the year. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  48. 48. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Collaboration with Valencia University Collaboration with DMU Engineering Complex Systems Network and New Projects Emotions in Game-Based MLE This is a new project which is at a proposal stage. The idea is to use game technologies coupled with emotions and preference modelling to deliver some difficult Engineering topics. Some of the aims are: - To relate the topics to real world by which the complexity can be reduced and concepts can be explained in more accessible forms. - To retain attention of the student and encourage engagement and active participation with the topics. The details at this stage is limited but hopefully more will be available later in the year. Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  49. 49. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Collaboration with Valencia University Collaboration with DMU Engineering Complex Systems Network and New Projects Complex Systems Network As an associate member of Institut des Syst`mes Complexes en e Normandie (ISCN) I am engaged in multi-disciplinary Complex Systems Network in Europe. The most current project is being UniTwin UNESCO CS-DC Project. One of the main aims of the project is to connect Universities from developing countries with Universities from developed countries. This in part inspired the following project ... Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  50. 50. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Collaboration with Valencia University Collaboration with DMU Engineering Complex Systems Network and New Projects Complex Systems Approach to Emotions We are already using emotions in learning environments. We have done work on agents-managed grid systems for eLearning and on policy-based system supporting student mobility. All of which would be of useful in international twinning of Universities. Similarly, we worked on non-standard approaches to emotion modelling that aligns well with Complex Systems. Can we develop an integrated platform for Complex Systems Approach for the use of Emotions in Learning Environments and Emotionally-aware LEs? Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments
  51. 51. Agents and Complex Systems Oscillating Emotions Relevant Projects Emotions in Learning Environments Conclusion Conclusion In this talk, we travelled quickly amongst agent technologies to emotions modeling to intellgient tutoring systems (ITS) to learning environments (LE). Our focus was on emotions and emotion modelling in particular with related current collaborative projects and future possible projects. If you are interested in discussing any of the projects or collaboration on any of the upcoming projects please do contact me. Dr. Aladdin Ayesh aayesh@dmu.ac.uk – dr.aladdin.ayesh@ieee.org www.aladdin-ayesh.info Dr. Aladdin Ayesh Reader in Artificial Intelligence Complex Systems Approach to Emotionally-aware Learning Environments

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