Cognitive Agents


Cognitive agents, also known as cognitive agents or intelligent agents, are software programs that are designed to act autonomously in order to achieve specific goals or tasks. Cognitive agents are characterized by their ability to learn, adapt, and make decisions based on their surroundings and experiences.

Cognitive agents can be used in a variety of applications and contexts, including:

  • Personal assistants: Cognitive agents can be used to provide personalized assistance to individuals, such as scheduling appointments or sending reminders.
  • Customer service: Cognitive agents can be used to provide customer service and support, such as answering questions or resolving issues.
  • Education and training: Cognitive agents can be used to provide education and training to individuals or groups, such as through virtual tutoring or interactive learning environments.
  • Gaming: Cognitive agents can be used to create interactive and immersive gaming experiences, such as in virtual reality or augmented reality games.

There are several ways in which cognitive agents can learn, including:

  • Supervised learning: In supervised learning, cognitive agents are trained on a labeled dataset, which consists of input data and corresponding output labels. The cognitive agent is then able to use this dataset to learn patterns and relationships, and it can use this knowledge to make predictions or decisions about new, unseen data.
  • Unsupervised learning: In unsupervised learning, cognitive agents are not provided with labeled data, and they must learn patterns and relationships from the data itself. This can be useful for tasks such as clustering or dimensionality reduction, where the cognitive agent is trying to find relationships within the data.
  • Reinforcement learning: In reinforcement learning, cognitive agents are trained by receiving rewards or punishments based on their actions. The cognitive agent learns by trying different actions and learning which ones are more likely to lead to rewards.

See also:

CALO (Cognitive Agent that Learns and Organizes) | Cognitive Assistants

Information processing and dynamics in minimally cognitive agents RD Beer, PL Williams – Cognitive science, 2014 – Wiley Online Library Abstract There has been considerable debate in the literature about the relative merits of information processing versus dynamical approaches to understanding cognitive processes. In this article, we explore the relationship between these two styles of explanation using a … Cited by 5

Reactive to Cognitive Agents: Extending Reinforcement Learning to Generate Symbolic Knowledge Bases R Cerqueira, AL Costa, S McGill, D Lee… – … (LARS/LARC), 2013 …, 2013 – Abstract—A new methodology for knowledge-based agents to learn from interactions with their environment is presented in this paper. This approach combines Reinforcement Learning and Knowledge-Based Systems. A Q-Learning algorithm obtains the optimal … Related articles All 2 versions

CROSS: Modelling Crowd Behaviour with Social-Cognitive Agents N Wijermans, R Jorna, W Jager… – Journal of Artificial …, 2013 – * Abstract The use of computer simulations in crowd research is a powerful tool to describe and analyse complex social systems. This paper presents CROSS, a generic framework to model crowd simulations as a social scientific tool for understanding crowd behaviour. In … Cited by 6 Related articles All 4 versions

Reputation-based decisions for logic-based cognitive agents I Pinyol, J Sabater-Mir, P Dellunde… – Autonomous Agents and …, 2012 – Springer Abstract Computational trust and reputation models have been recognized as one of the key technologies required to design and implement agent systems. These models manage and aggregate the information needed by agents to efficiently perform partner selection in … Cited by 20 Related articles All 5 versions

Cognitive Agents for Virtual Environments FDCB KoenHindriks, MBD Richards – 2013 – Springer There is a wide range of activity within the agent community considering various aspects of multi-agent systems, both theoretical as well as practical. This includes communication, team work, coordination, and cooperation of agents. In the First International Workshop on …

[BOOK] Cognitive Agent-based Computing-I: A Unified Framework for Modeling Complex Adaptive Systems Using Agent-based & Complex Network-based Methods MA Niazi, A Hussain – 2012 – Complex Systems are made up of numerous interacting sub-components. Non-linear interactions of these components or agents give rise to emergent behavior observable at the global scale. Agent-based modeling and simulation is a proven paradigm which has … Cited by 10 Related articles All 4 versions

A neural-symbolic cognitive agent with a mind’s eye L de Penning, RJM den Hollander, H Bouma… – Workshop on Neural- …, 2012 – Abstract The DARPA Mind’s Eye program seeks to develop in machines a capability that currently exists only in animals: visual intelligence. This paper describes a Neural-Symbolic Cognitive Agent that integrates neural learning, symbolic knowledge representation and … Cited by 4 Related articles All 7 versions

Psychologically realistic cognitive agents: taking human cognition seriously R Sun, S Hélie – Journal of Experimental & Theoretical Artificial …, 2013 – Taylor & Francis Cognitive architectures may serve as a good basis for building mind/brain-inspired, psychologically realistic cognitive agents for various applications that require or prefer human-like behaviour and performance. This article explores a well-established cognitive … Cited by 10 Related articles All 5 versions

Rich socio-cognitive agents for immersive training environments: case of NonKin Village BG Silverman, D Pietrocola, B Nye, N Weyer… – Autonomous Agents and …, 2012 – Springer Abstract Demand is on the rise for scientifically based human-behavior models that can be quickly customized and inserted into immersive training environments to recreate a given society or culture. At the same time, there are no readily available science model-driven … Cited by 12 Related articles All 5 versions

The world is not enough: Trust in cognitive agents EJ de Visser, F Krueger, P McKnight… – Proceedings of the …, 2012 – Abstract Researchers have assumed a dichotomy between human-human trust (HHT) and human-automation trust (HAT). With the advent of cognitive agents, entities that are neither machine nor human, it is important to revisit this theory. Some claim that HHT and HAT are … Cited by 9 Related articles All 2 versions

Mirror neurons, embodied cognitive agents and imitation learning J Wiedermann – Computing and Informatics, 2012 – Abstract Mirror neurons are a relatively recent discovery; it has been conjectured that these neurons play an important role in imitation learning and other cognitive phenomena. We will study a possible place and role of mirror neurons in the neural architecture of embodied … Cited by 18 Related articles All 3 versions

[BOOK] Cognitive Agents for Virtual Environments: First International Workshop, CAVE 2012, Held at AAMAS 2012, Valencia, Spain, June 4, 2012, Revised Selected … F Dignum, C Brom, K Hindriks, M Beer, D Richards – 2013 – The Wageningen UR Library Catalogue contains bibliographic data on books and periodicals held by the libraries of Wageningen University and Research Centre and some 15 associated libraries. Holding data are added to each record. All 3 versions

[BOOK] Interfacing a cognitive agent platform with Second Life S Ranathunga, S Cranefield, M Purvis – 2012 – Springer Abstract Second Life is a popular multi-purpose online virtual world that provides a rich platform for remote human interaction. It is increasingly being used as a simulation platform to model complex human interactions in diverse areas, as well as to simulate multi-agent … Cited by 12 Related articles All 6 versions

Human Trust in Other Humans, Automation, Robots, and Cognitive Agents Neural Correlates and Design Implications R Parasuraman, E de Visser, E Wiese… – Proceedings of the …, 2014 – Abstract Performance in many work environments depends on appropriate levels of trust being established between humans and their colleagues, as well as with various automated agents. Although there is a large literature on trust, it is diversified according to academic …

Automatic Identification of Human Strategies by Cognitive Agents F Steffenhagen, R Albrecht, M Ragni – KI 2014: Advances in Artificial …, 2014 – Springer Abstract So far most cognitive modeling approaches have concentrated on modeling and predicting the actions of an “average user”–a user profile that in reality often does not exist. User performance is highly dependent on psychological factors like working memory, …

A Design Methodology for Trust Cue Calibration in Cognitive Agents EJ de Visser, M Cohen, A Freedy… – Virtual, Augmented and …, 2014 – Springer Abstract As decision support systems have developed more advanced algorithms to support the human user, it is increasingly difficult for operators to verify and understand how the automation comes to its decision. This paper describes a design methodology to enhance … Related articles

Categorization of malicious behaviors using ontology-based cognitive agents U Manzoor, S Nefti, Y Rezgui – Data & Knowledge Engineering, 2013 – Elsevier Every organization uses computer networks (consisting of networks of networks) for resource sharing (ie printer, files, etc.) and communication. Computer networks today are increasingly complex, and managing such networks requires specialized expertise. … Cited by 7 Related articles All 4 versions

A computational model of attentional learning in a cognitive agent U Faghihi, R McCall, S Franklin – Biologically Inspired Cognitive …, 2012 – Elsevier Abstract Biologically inspired cognitive architectures should faithfully model the high-level modules and processes of cognitive neuroscience. Also, they are expected to contribute to the BICA “challenge of creating a real-life computational equivalent of the human mind”. … Cited by 11 Related articles All 4 versions

The effects of pitch contour and flanging on trust in speaking cognitive agents L Muralidharan, EJ de Visser… – CHI’14 Extended Abstracts …, 2014 – Abstract Speech from intelligent” cognitive agents” can vary along a machine-to-human spectrum, from very machine-like to very human-like [3, 4]. Effective interaction with such agents may depend on whether they are trusted by human users. This study investigated … Related articles

Biomimicry based Learning Outcomes of Simple Cognitive Agents AT Lawniczak, JB Ernst, BN Di Stefano – Procedia Computer Science, 2014 – Elsevier Abstract We discuss a model of a complex system that could be used as an experimental virtual reality platform to study learning outcomes of a population of simple cognitive agents unable to express concepts analytically and unable to use crisp values. In modeling the …

Model Of A Population Of Autonomous Simple Cognitive Agents And Their Performance In Various Environments AT Lawniczak, BN Di Stefano, J Ernst – SUMMERSOLSTICE 2014, 2014 – Autonomous robots are intelligent machines exhibiting a predefined behaviour, such that, once they are deployed, they can perform tasks by themselves (autonomously), without human intervention, or if required with minimal human intervention. For the purpose of …

Jantu: A Cognitive Agent Playing StarCraft: Brood War MTH Sandsmark, KBM Viktil – 2012 – Abstract It has been shown that most players enjoys playing video games against other human players instead of computer controlled opponents. But most research on artificial intelligence in gaming today focus on just winning in the most effective way possible, … Related articles All 3 versions

A Broad Vision for Intelligent Behavior: Perpetual Real-World Cognitive Agents D Perlis, MT Cox, M Maynord, E McNany… – … Annual Conference on …, 2013 – Abstract We describe ongoing work toward automating human-level behavior that pulls together much of traditional artificial intelligence in a real-time robotic setting. Natural- language dialog, planning, perception, locomotion, commonsense reasoning, memory, … Cited by 1 Related articles All 2 versions

An empirical study of cognitive agent programs MB van Riemsdijk, KV Hindriks, CM Jonker – Multiagent and Grid …, 2012 – IOS Press Various agent programming languages and frameworks have been developed by now, but very few systematic studies have been done as to how the elements in these languages may be and are in fact used in practice. Performing a study of these aspects contributes to the … Cited by 5 Related articles All 5 versions

Exploring Mixed-Initiative Interaction for Learning with Situated Instruction in Cognitive Agents. S Mohan, JE Laird – AAAI, 2012 – Human-agent interaction for learning with instruction can be viewed on a continuum of instructor/agent control. At one extreme are systems that learn by instructor-driven interactions, such as learning by demonstration, examples, or imitation. The other extreme … Cited by 1 Related articles All 4 versions

Neural-symbolic cognitive agents: architecture, theory and application L de Penning, AS d’Avila Garcez, LC Lamb… – Proceedings of the …, 2014 – Abstract In real-world applications, the effective integration of learning and reasoning in a cognitive agent model is a difficult task. However, such integration may lead to a better understanding, use and construction of more realistic multiagent models. Existing models … Related articles All 2 versions

Applying Neural-Symbolic Cognitive Agents in Intelligent Transport Systems to reduce CO 2 emissions L de Penning, AS d’Avila Garcez… – … Joint Conference on, 2014 – Abstract—Providing personalized feedback in Intelligent Transport Systems is a powerful tool for instigating a change in driving behaviour and the reduction of CO2 emissions. This requires a system that is capable of detecting driver characteristics from real-time vehicle …

Mutation operators for cognitive agent programs S Savarimuthu, M Winikoff – … of the 2013 international conference on …, 2013 – Abstract Testing multi-agent systems is a challenge, since by definition such systems are distributed, and are able to exhibit autonomous and flexible behaviour. One specific challenge in testing agent programs is developing a collection of tests (a” test suite”) that … Cited by 4 Related articles All 4 versions

Modeling Motivation and the Emergence of Affect in a Cognitive Agent J Bach – Theoretical Foundations of Artificial General …, 2012 – Springer Abstract By exploring the relationships between different AGI architectures, one can work toward a holistic cognitive model of human-level intelligence. In this vein, here an integrative architecture diagram for human-like general intelligence is proposed, via merging of … Related articles All 5 versions

Towards an Indexical Model of Situated Language Comprehension for Real-World Cognitive Agents S Mohan, A Mininger, JE Laird – … of the Second Annual Conference on …, 2013 – Page 1. Towards an Indexical Model of Situated Language Comprehension for Real-World Cognitive Agents Shiwali Mohan, Aaron Mininger, John E. Laird Computer Science and Engineering University of Michigan December 13th , 2013 … Cited by 3 Related articles

Decoupling cognitive agents and virtual environments J Lee, V Baines, J Padget – Cognitive Agents for Virtual Environments, 2013 – Springer Abstract The development of and accessibility to rich virtual environments, both for recreation and training activities leads to the use of intelligent agents to control avatars (and other entities) in these environments. There is a fundamental tension in such systems … Cited by 8 Related articles All 6 versions

Dreaming Machines: On multimodal fusion and information retrieval using neural-symbolic cognitive agents L de Penning, A D’Avila Garcez… – … -OpenAccess Series in …, 2013 – Abstract Deep Boltzmann Machines (DBM) have been used as a computational cognitive model in various AI-related research and applications, notably in computational vision and multimodal fusion. Being regarded as a biological plausible model of the human brain, the … Related articles All 5 versions

A hybrid method for effective management of the uncertainty in army decision making using cognitive agents and Classification based on Fuzzy Association Rules M Heravi, A Akramizadeh, M Pourakbar… – Fuzzy Systems (IFSC) …, 2013 – Abstract—Decision making is an important problem in most of the army operations. One of the challenging issues in this area is uncertainty in wars with uncertain information which causes many destructive effects on the results of strategies in battlefields. Cognitive Agent … Related articles

Learning Actions and Verbs from Situated Interactive Instruction for Embodied Cognitive Agents S Mohan – Learning, 2013 – As computational, robotic agents become pervasive in human society, the challenge of supporting complex intelligent behavior in novel environments is becoming increasingly important.? e agents are expected to be long-living intelligent agents that demonstrate … Related articles

Software Implementation of Population of Cognitive Agents Learning to Cross a Highway AT Lawniczak, BN Di Stefano, JB Ernst – Cellular Automata, 2014 – Springer Abstract We describe the model and the software implementation of population of simple cognitive agents, naïve creatures experiencing fear and/or desire while learning to cross a highway. The creatures use an observational learning mechanism for adoption or …

Creating a Cognitive Agent in a Virtual World: Planning, Navigation, and Natural Language Generation W Hewlett – 2013 – The goal of virtual worlds, such as interactive video game worlds, is to create animated scenarios that are realistic while conforming to the visions of their content creators. To this end, impressive work has been done, particularly involving graphics, animation, and … Related articles All 4 versions

Society of Mind cognitive agent architecture applied to drivers adapting in a traffic context G Leu, NJ Curtis, H Abbass – Adaptive behavior, 2013 – Abstract This paper challenges the idea of creating an architectural approach for designing a complex hybrid cognitive agent, ie, an agent that possesses all reactive, deliberative and affective capabilities, outside the hierarchical paradigm. Thus, it presents an agent … Related articles All 5 versions

Improving cognitive agent decision making: Experience trajectories as plans J Pfau, S Karim, M Kirley, L Sonenberg – Web Intelligence and Agent …, 2014 – IOS Press In task environments with large state and action spaces, the use of temporal and state abstraction can potentially improve the decision making performance of agents. However, existing approaches within a reinforcement learning framework typically identify possible …

Cognitive agent based critical information gathering and dissemination in vehicular ad hoc networks MS Kakkasageri, SS Manvi, J Pitt – Wireless personal communications, 2013 – Springer Abstract Next generation vehicles will have capability of sensing, computing, and communicating capabilities. Different components in a vehicle have to constantly exchange available information with other vehicles on the road and cooperate for the purpose of … Cited by 2 Related articles All 7 versions

Traditional Vs. Cognitive Agent Simulation DW Kim, JH Kim, SL Park, KC Kim, CS Park – … International Conference of …, 2013 – ABSTRACT This paper illustrates the difference between the cognitive approach and the traditional (deterministic) approach in building energy simulation, and benefits from the cognitive agent-based simulation (ABS). In this study, the cognitive agents were simulated … Cited by 1 Related articles

A computational model for causal learning in cognitive agents U Faghihi, P Fournier-Viger, R Nkambou – Knowledge-Based Systems, 2012 – Elsevier To mimic human tutors and provide optimal training, a cognitive tutoring agent should be able to continuously learn from its interactions with learners. An important element that helps a tutor better understand learner’s mistake is finding the causes of the learners’ mistakes. … Cited by 5 Related articles All 3 versions

Cognitive agents for microscopic traffic simulations in virtual environments S Seele, R Herpers, C Bauckhage – Entertainment Computing-ICEC 2012, 2012 – Springer Abstract Traffic simulations in current open world video games and driving simulators are still limited with respect to the complexity of the behavior of simulated agents. These limitations are typically due to scarce computational resources, but also to the applied … Cited by 6 Related articles All 3 versions

MGLAIR: A multimodal cognitive agent architecture JP Bona – 2013 – Humans and other animals—naturally occurring cognitive agents—continually sense and act using multiple afferent and efferent modalities concurrently, often without any conscious effort to do so. That is, we talk and walk and listen and look about, etc. without thinking … Cited by 1 Related articles All 3 versions

Single-seat cockpit-based management of multiple UCAVs using on-board cognitive agents for coordination in manned-unmanned fighter missions S Gangl, B Lettl, A Schulte – Engineering Psychology and Cognitive …, 2013 – Springer Abstract This article describes an automation concept, which enables the pilot of a single- seat fighter aircraft to manage more than one unmanned combat aerial vehicle (UCAV). The presented concept bases on the theory of cognitive and cooperative automation and … Cited by 2 Related articles All 2 versions

Agent-Based Simulation of Complex Aviation Incidents by Integrating Different Cognitive Agent Models T Bosse, NM Mogles, J Treur – … of Heterogeneous Multi-Agent Systems. The …, 2014 – Springer Abstract Aviation incidents often have a complex character in the sense that a number of different aspects of human and technical functioning come together in creating the incident. Usually only model constructs or computational agent models are available for each of … Related articles All 5 versions

Patterns of Social Influence in a Network of Situated Cognitive Agents RC Thomas, JS Gero – arXiv preprint arXiv:1204.3341, 2012 – Abstract: This paper presents the results of computational experiments on the effects of social influence on individual and systemic behavior of situated cognitive agents in a product-consumer environment. Paired experiments were performed with identical initial … Cited by 1 Related articles All 6 versions

An autonomous manufacturing system based on swarm of cognitive agents HS Park, NH Tran – Journal of Manufacturing Systems, 2012 – Elsevier Disruptions of the manufacturing systems caused by the disturbances such as the tool wear, machine breakdown, malfunction of robot or transporter, and so on reduce the productivity as well as increase the cost of product. The conventional manufacturing systems are … Cited by 6 Related articles All 3 versions

Cognitive Agents with Psychological Personality Profiles for Traffic Simulations in Virtual Environments S Seele, R Herpers… – Sommertreffen …, 2012 – Traffic simulations are typically concerned with modeling human behavior as closely as possible to create realistic results. In conventional traffic simulations used for road planning or traffic jam prediction only the overall behavior of an entire system is of interest. In virtual … Cited by 1 Related articles

Acting on Conceptual Spaces in Cognitive Agents. A Augello, S Gaglio, G Oliveri, G Pilato – AIC@ AI* IA, 2013 – Abstract. Conceptual spaces were originally introduced by Gärdenfors as a bridge between symbolic and connectionist models of information representation. In our opinion, a cognitive agent, besides being able to work within his (current) conceptual space, must also be able … Cited by 3 Related articles All 4 versions

Parallel and Distributed Simulation of Large-Scale Cognitive Agents K Zia, K Farrahi, A Sharpanskykh, A Ferscha… – Advances on Practical …, 2013 – Springer Abstract The large-scale simulation of complex cognitive agent based models simulated on realistic physical space require special computer processing considerations. In this paper, we explore the up-scaling of an agent based model to city-scale, by considering details … Related articles All 3 versions

Situated comprehension of imperative sentences in embodied, cognitive agents S Mohan, J Laird – Proceedings of the Workshops at the Twenty-Sixth …, 2012 – Abstract Linguistic communication relies on non-linguistic context to convey meaning. That context might include, for instance, recent or long-term experience, semantic knowledge of the world, or objects and events in the immediate environment. In this paper, we describe … Cited by 2 Related articles All 5 versions

A New BDI Architecture To Formalize Cognitive Agent Behaviors Into Simulations VM Le, B Gaudou, P Taillandier… – Advanced Methods and …, 2013 – Abstract. Nowadays, agent-based modelling is more and more used to study complex socio- ecological systems. These last years have also seen the development of several agent- based simulation platforms. These platforms allow modelers to easily and quickly develop … Cited by 1 Related articles All 5 versions

Autonomy and desire in machines and cognitive agent systems K Magill, YJ Erden – Cognitive Computation, 2012 – Springer Abstract The development of cognitive agent systems relies on theories of agency, within which the concept of desire is key. Indeed, in the quest to develop increasingly autonomous cognitive agent systems, desire has had a significant role. We argue, however, that … Cited by 1 Related articles All 6 versions

Review of Cognitive Agent-Based Computing-I: a Unified Framework for Modeling Complex Adaptive Systems Using Agent-Based & Complex Network-Based … J Bragin – 2013 – Cover of book This is the introductory volume in a projected five-volume series, to be published between 2012 and July 2015. Chapter 1,” Introduction”, begins with the identification of the two principal methods of modeling approaches for complex adaptive …

A cognitive agent based manufacturing system adapting to disturbances HS Park, NH Tran – International Journal of Control, Automation and …, 2012 – Springer Abstract Disruptions of manufacturing systems caused by unexpected disturbances such as the tool wear, machine breakdown, malfunction of robot or transporter, and so on reduce the productivity, and increase the downtime as well as the cost of products. To cope with these … Cited by 2 Related articles All 5 versions

Shortest Paths from a Group Perspective-a Note on Selfish Routing Games with Cognitive Agents J Scholz – 2013 – Abstract This paper elaborates on the effect of cognitive agents on selfish routing in traffic networks with linear latency functions. Selfish routing occurs when each agent traveling in a network acts purely selfish, and thus the Braess Paradoxon is likely to occur. The Braess … Related articles All 2 versions

Self-explanation capability for cognitive agents on-board of UCAVs to improve cooperation in a manned-unmanned fighter team B Lettl, A Schulte – AIAA Infotech@ Aerospace 2013 Conference, 2013 – This article proposes the concept of a self-explanation capability as part of an automation concept, which enables the pilot of a single-seat fighter aircraft to manage more than one unmanned combat aerial vehicle (UCAV). The overall automation concept bases on the … Cited by 1 Related articles

Transitioning from motivated to cognitive agent model J Graham, JA Starzyk – Computational Intelligence for Human- …, 2013 – Abstract—This paper reports on the transition from a reactive motivated agent model to a cognitive agent model based on motivated learning and goal creation. The paper details the current state of our research on the cognitive agent and its implementation in a virtual … Cited by 1 Related articles All 6 versions

A Model of Culture for Cognitive Agents F Ramos, O González, JPA Barthès – International Journal of Art, …, 2012 – Abstract Misunderstandings derived from cultural differences represent a main barrier for effective communication and collaboration. As part of a platform aimed at supporting intercultural interactions, the authors present a synthetic model for quantifying culture. … All 2 versions

An algebra for the manipulation of conceptual spaces in cognitive agents A Augello, S Gaglio, G Oliveri, G Pilato – Biologically Inspired Cognitive …, 2013 – Elsevier Abstract According to Gärdenfors, the theory of conceptual spaces describes a level of representation present in some cognitive agents between a sub-conceptual and a symbolic level of representation. In contrast to a large part of contemporary philosophical … Cited by 4 Related articles All 2 versions

Learning Emotion Regulation Strategies: A Cognitive Agent Model T Bosse, C Gerritsen, J Man… – Web Intelligence (WI) and …, 2013 – Abstract-Learning to cope with negative emotions is an important challenge, which has received considerable attention in domains like the military and law enforcement. Driven by the aim to develop better training in coping skills, this paper presents an adaptive … Cited by 1 Related articles All 4 versions

Smooth Dynamics, Good Performance in Cognitive-Agent Congestion Problems D Reitter, P Scerri – Proceedings of the 35th Annual Meeting of …, 2013 – Abstract In a congestion game, individuals exhaust a common resource out of selfish behavior. In this scenario, drivers create traffic jams by choosing the shortest route according to their individual knowledge. They can avoid them by communicating their belief states … Cited by 1 Related articles All 5 versions

Training a Cognitive Agent to Acquire and Represent Knowledge from RSS feeds onto Conceptual Graphs A Gkiokas, AI Cristea – … 2014, The Sixth International Conference on …, 2014 – Abstract: Imitative processes, such as knowledge transference, have been long pursued goals of Artificial Intelligence (AI). The significance of Knowledge Acquisition (KA) in animals and humans has been studied by scientists from the beginning of the 20th century. Our … Related articles

Task delegation in an agent supervisory control relationship capability awareness in a cognitive agent S Clauss, A Schulte – … , Man and Cybernetics (SMC), 2014 IEEE …, 2014 – Abstract—An artificial cognitive agent, guiding a UAV based on operator-given tasks, is introduced onboard a conventionally automated aircraft in order to support the human operator. The agent acts in two roles–as subordinate to the human and at the same time …

Combining self-motivation with planning and inference in a self-motivated cognitive agent framework DH Liu – 2012 – Abstract Most work on self-motivated agents in Artificial Intelligence has focused on acquiring utility-optimizing mappings from states to actions. However, such mappings do not allow for explicit, reasoned anticipation and planned achievement of future states and pay … Related articles All 4 versions

Modeling a Simple Adaptive Cognitive Agent BN Di Stefano, AT Lawniczak – Acta Physica Polonica, B …, 2012 – Agent-based models accurately approximate the behaviour of simple or simplified natural and man-made systems by mimicking and often biomimicking simple entities. Many definitions exist for the term “agent” in this context. Most of them are not terse and not easy … Cited by 8 Related articles

Dynamics of rules internalized in dynamic cognitive agents playing a multi-game T Sato – Artificial Life and Robotics, 2012 – Springer Abstract Rules such as laws, institutions, and norms can be changed dynamically in our society, because they are shaped by interactions among social members who are affected by them. However, there are also some stable rules enhanced by interactions among … Related articles All 5 versions

Lateral Pre-crash Sensing and Avoidance in Emotion Enabled Cognitive Agent based Vehicle-2-Vehicle Communication System F Riaz, SI Shah, M Raees, I Shafi, A Iqbal – International Journal of …, 2013 – Abstract A novel inter-vehicle communication system based on emotion enabled cognitive (EEC) agent has been anticipated as an intelligent solution to evade the road catastrophe due to hasty decisions by drivers. An input stimulus is processed in human brain using a … Related articles All 3 versions

Generating Subject-Oriented Process Models from Ad-Hoc Interactions of Cognitive Agents U Kannengiesser, M Radmayr… – Web Intelligence (WI …, 2014 – Abstract—To flexibly adapt business processes to changing requirements and new opportunities, it is often necessary to allow ad-hoc deviations from pre-defined process models. Agent systems can provide the autonomous behaviour needed for engaging in …

Executive control of cognitive agents using a biologically inspired model architecture of the prefrontal cortex N Srinivasa, SE Chelian – Biologically Inspired Cognitive Architectures, 2012 – Elsevier Abstract Prefrontal cortex (PFC) is implicated in executive control, herein defined as the ability to map external inputs and internal goals toward actions that solve problems or elicit rewards. In this work, we present a computational model of PFC and accompanying brain … Cited by 1 Related articles All 2 versions

FIONA: a platform for embodied cognitive agents C Alvarez, L Fernández Cossío – Proceedings of the second …, 2014 – Abstract For sixty years a great effort has been done to create different kinds of artificial intelligence, although achieving human-like performance is still far away. In this poster, authors propose a collaborative approach to achieve better results and transferring them …

Regression based critical information aggregation and dissemination in VANETs: A cognitive agent approach MS Kakkasageri, SS Manvi – Vehicular Communications, 2014 – Elsevier Abstract Data aggregation in Vehicular Ad hoc NETworks (VANETs) is an efficient technique for effective usage of communication resources. In dense VANET traffic scenarios, data aggregation is needed to represent several numbers of almost similar critical information …

Framework for cognitive agent based expert system for metacognitive and collaborative E-Learning N Gulati – Innovation and Technology in Education (MITE), …, 2013 – Abstract-Globalization, Customization and Web 2.01 are having substantial effects in the Education sector. For this, the government of India has taken strong steps towards Collaborative E-Learning which yields significant social, educational, financial and … Related articles

Biomimicri As A Method For Developing Cognitive Agents BN Di Stefano, AT Lawniczak – SUMMERSOLSTICE 2014, 2014 – Anybody exposed to babies soon notices that they have a tendency to imitate individuals with whom they come into contact. Indeed this imitative behavior is one of the earliest activities of babies. For instance, Meltzoff & Moore reported an experiment in which “ …

Simulating Civilization Change with Nexus Cognitive Agents D Duong, J Pearman – Advances in Design for Cross-Cultural …, 2012 – ABSTRACT Civilization change includes not only the changes of material life but also changes in the social structures that go along with material change. Changes in the economic conditions of a country, such as an increase in the amount of corruption, are … Related articles All 2 versions

Hypothetical-thinking based on cognitive decoupling and thinking dispositions in a dual cognitive agent O Larue, P Poirier, R Nkambou – Biologically Inspired Cognitive …, 2013 – Elsevier Abstract We present an implementation of the hypothetical-thinking capacities of our cognitive architecture, based on Stanovich’s tripartite framework (Stanovich, 2009). To illustrate and study processing by this new feature, we simulated a well-known task in the … Related articles All 2 versions

Cognitive Agents in Virtual Worlds: a Middleware Design Approach J van Oijen – 2014 – In the past decade, significant advances have been made in the technologies for creating virtual worlds. These advances are accompanied with the need for intelligent, human-like characters to populate these virtual worlds. Such characters are also known as intelligent …

Brain-Inspired Knowledge-Growing System: Towards a True Cognitive Agent A Sumari, AS Ahmad, AI Wuryandari… – International Journal of …, 2012 – Abstract: Knowledge growing is one of intelligence characteristics possessed by human brain. In this paper we review some fundamental theories that are appropriate for emulating this kind of intelligence in order to develop an intelligent system in Artificial Intelligence (AI … Cited by 1 Related articles All 2 versions

The Emergence of Systematicity in Minimally Cognitive Agents P Calvo, E Martín, J Symons – The Architecture of Cognition: …, 2014 – The honeybee bounces against the pane of glass, the moth circles the lightbulb, and the dog chases its tail. Honeybees, moths, and dogs are each capable of a complex and interesting set of behaviors. But sometimes we notice animals failing to accomplish their goals and … Related articles All 4 versions

Cognitive agent and its implementation in the blender game engine environment JA Starzyk, P Raif – … for Human-like Intelligence (CIHLI), 2013 …, 2013 – Abstract—The paper presents a structural model of a cognitive agent and its Blender implementation. Built in a virtual world, the agent is able to act autonomously, observe its environment and learn from its actions using principles of motivated learning. We discuss … Cited by 1 Related articles All 5 versions

When Can Cognitive Agents Be Modeled Analytically versus Computationally? L Caldwell – Distributed Computing and Artificial Intelligence, 11th …, 2014 – Springer Abstract When agents are modelled with psychologically realistic decision making rules, the assumptions made about their decisions and behaviour are usually more complex than those made in traditional economics. This has made it harder for behavioural and … Related articles All 2 versions

Identification of the knowledge conflicts’ sources in the architecture of cognitive agents supporting decision-making process J Sobieska-Karpi?ska, M Hernes – Computer Science and …, 2014 – Abstract—This article presents the problem of knowledge conflicts identification in the architecture of cognitive agents. The agents operate at the decision support systems. The types and the sample of cognitive agents architecture was characterized in the first part of …

The nexus cognitive agent-based model: coevolution for valid computational social modeling D Duong, J Pearman, C Bladon – Proceeding of the fifteenth annual …, 2013 – Abstract This paper discusses the central problems with creating valid computational social science simulations, and then suggests answers to these problems that involve co-evolution, autonomy, interpretation, and data processing under uncertainty. We also present the use … Related articles All 2 versions

Building Internal Scene Representation in Cognitive Agents M Jaszuk, JA Starzyk – 2013 – Abstract. Navigating in realistic environments requires continuous observation of a robots surroundings, and creating internal representation of the perceived scene. This incorporates a sequence of cognitive processes, including attention focus, recognition of objects, and … Related articles All 2 versions

What’s between KISS and KIDS: A Keep It Knowledgeable (KIKS) Principle for Cognitive Agent Design BD Nye – 2013 AAAI Fall Symposium Series, 2013 – Abstract The two common design principles for agent-based models, KISS (Keep It Simple, Stupid) and KIDS (Keep It Descriptive, Stupid) offer limited traction for developing cognitive agents, who typically have strong ties to research findings and established theories of … Related articles All 2 versions

Multilevel Clustering of Induction Rules: Application on Scalable Cognitive Agent A Chemchem, H Drias, Y Djenouri – International Journal of Systems …, 2014 – Abstract The tremendous size of data in nowadays world web invokes many data mining techniques. The recent emergence of some new data mining techniques provide also many interesting induction rules. So, it’s important to process these induction rules in order to …

Hybrid Multi-agent system simulations: cognitive and social agents A Caballero, J Botia – Computer Science and Information …, 2012 – … 2) Cognitive agents do not perform cognitive behaviours in all steps of the simulation. 3) Communicative requirements are relatively simple. … 4) Additionally, a specific and easy to use model is needed to code the cognitive agent abilities. … Cited by 1 Related articles All 2 versions

Emotive and cognitive simulations by agents: Roles of three levels of information processing M Kazemifard, N Ghasem-Aghaee, TI Ören – Cognitive Systems Research, 2012 – Elsevier … communication in natural language. Simulation with cognitive agents is cognitive agent-simulation. Emotive agents ( Ghasem-Aghaee and Ören, 2003 and Kazemifard et al., 2009) have the following characteristics. (1) They have … Cited by 8 Related articles All 3 versions

Is the El Farol more efficient when cognitive rational agents have a larger memory size? D Baccan, L Macedo, E Sbruzzi – Systems, Man and …, 2014 – … We test this by systematically evaluating fifteen different treatments in which we gradually increase the memory size of cognitive agents. … Having cognitive agents means that artificial agents will be empowered with mechanisms similar to or inspired in those used by humans. …

Cognitive Architecture of an Agent for Human-Agent Dialogues J Baskar, H Lindgren – … of Practical Applications of Heterogeneous Multi- …, 2014 – Springer … cognitive architecture, we aim to combine the above men- tioned capabilities to build an intelligent agent that interacts with the human as their personalised assistant, ie, as a Coach Agent as described in [1]. The contribution of this paper is the cognitive agent architecture, that … Cited by 1 Related articles All 2 versions

A distributed affective cognitive architecture for cooperative multi-agent learning systems TD Barnett – 2012 – … 216 11.4 CAEDA COGNITIVE AGENT OPERATION….. 219 11.4.1 Cognitive Agent Creation Process ….. 219 11.4.2 Actuators and Sensors ….. … Related articles All 3 versions

A cognitive social agent architecture for cooperation in social simulations J Spinola, R Imbert – Intelligent Virtual Agents, 2012 – Springer … Agents, Roles, Social Interaction, Cooperation. 1 Introduction In the last three decades a growing interest in the use of the agent paradigm and com- puter simulation in the research of social science aspects has been observed [1, 2, 3, 4]. According to Gilbert [5], cognitive agent … Cited by 2 Related articles All 4 versions

Representations in Dynamical Embodied Agents: Re-Analyzing a Minimally Cognitive Model Agent M Mirolli – Cognitive science, 2012 – Wiley Online Library … 2. Minimally cognitive agents and representations. … The dynamical analyses of a minimally cognitive agent exhibiting categorization behavior presented in Beer (2003b) are truly impressive: a brilliant example of the application of the dynamical system approach to cognition. … Cited by 7 Related articles All 8 versions

Proceedings of the 2013 Annual Conference on Advances in Cognitive Systems: Workshop on Metacognition about Artificial Situated Agents D Josyula, P Robertson, MT Cox – 2013 – … iii Don Perlis, Michael T. Cox, Michael Maynord, Elizabeth Mcnany, Matthew Paisner, Vikas Shivashankar, Emily Hand, Jared Shamwell, Tim Oates, Tongchun Du, Darsana Josyula and Manuel Caro A broad vision for intelligent behavior: perpetual real-world cognitive agents …

An Agent Cognitive Model for Visual Attention and Response to Novelty C Ávila-Contreras, O Medina, K Jaime… – Agent and Multi-Agent …, 2014 – Springer … The model described in this paper is capable to be integrated in a cognitive architecture to interact with other cognitive functions. Keywords: Cognitive Agent Models, Perception, Visual Attention, Novelty Handling. 1 Introduction … Related articles All 2 versions

The Effect of Heterogeneous Agents in Socio-cognitive Networks JT Tseng – 2013 – … I used cognitive agents connected to a virtual world and based on their interaction formed networks. The agents are different in movement strategies and starting locations. … agents, software agents, intelligent agents, and robotic agents [Fan and Yen, 2004]. … Related articles

Basic emotions analysis by means of electroencephalogram for cognitive emotional agent A Alanís, C Solano, MA Lopez, G Maximiliano… – … on Informatics and …, 2012 – … Instituto Tecnológico de Tijuana ABSTRACT This article shows progress of brain signals interpretation which identifies some of the primary emotions; those primary emotions are learned by the cognitive Agent. As a result we … Related articles All 4 versions

Cognitive Instance-Based Learning Agents in a Multi-Agent Congestion Game P Scerri, D Reitter – 2012 – … 2.1.2 Cognitive Model Cognitive agents implement a cognitively motivated ag- gregation mechanism that forms their beliefs. … What may be key to the cognitive agent’s performance is limited sharing of knowledge: because agents do not have access to precise road utility … Related articles All 4 versions

Pharmacokinetics of cotinine in rats: A potential therapeutic agent for disorders of cognitive function P Li, WD Beck, PM Callahan, AV Terry… – Pharmacological …, 2014 – Elsevier … The results suggested fast absorption, slow elimination and high bioavailability of COT in rats. Conclusions. Several important facts about the PK properties in rats suggested COT could be a potential pro-cognitive agent. Information …

Toward Self-Motivated, Cognitive, Continually Planning Agents D Liu, L Schubert – Computational Intelligence, 2014 – Wiley Online Library … In that respect, they resemble policy-driven agents, but at the same time, they are cognitive agents, able to plan ahead—sufficiently well not only to … In Section 2, we give a general outline of what we mean by a self-motivated cognitive agent and of our development framework for … Related articles

Cooperative Agent Based Message Exchange for Spectrum Sharing in Cognitive Radio Network KS Yuvaraj – International Journal, 2014 – … MA Niazi, Amir Hussain, “Cognitive Agent-based Computing-I: A Unified Framework for Modeling Complex Adaptive Systems Using Agent-based & Complex Network-based Methods” Springer briefs in cognitive computation, 2013 11. … Related articles

A hybrid cognitive/reactive intelligent agent autonomous path planning technique in a networked-distributed unstructured environment for reinforcement learning DB Megherbi, V Malayia – The Journal of Supercomputing, 2012 – Springer … We consider hybrid reactive- cognitive agent(s) where we use autonomous agent motion planning that is based on the use of a potential field model accompanied by a reinforcement learning as well as boundary detection algorithms. … Cited by 1 Related articles All 5 versions

CELTS: A Cognitive Tutoring Agent with Human-Like Learning Capabilities and Emotions U Faghihi, P Fournier-Viger, R Nkambou – Intelligent and Adaptive …, 2013 – Springer … discusses the prob- lem of building adaptive educational systems and the problem of implementing human-like learning in cognitive agents. … In the next section, we introduce our cognitive agent CELTS, and then describe how we integrated several learning mechanisms into its … Cited by 3 Related articles All 4 versions

An Agent-Based Cognitive Robot Architecture C Wei, KV Hindriks – Programming Multi-Agent Systems, 2013 – Springer … In our architecture, we employ the Goal agent programming language for programming the high-level cognitive agent that controls the robot. Goal is a language for programming logic-based, cognitive agents that use symbolic representations for their beliefs and goals from … Cited by 6 Related articles All 13 versions

Using Situated Context for Language Comprehension in Cognitive Instructable Agents S Mohan – 2012 – … Cognitive agent that acquires various kinds of knowledge through situated, interactive, instruction • Various kinds of knowledge • Object recognition, categorization • Spatial Relationships • Task decomposition and execution • Linguistic knowledge – nouns, adjectives, preposition …

An agent model for cognitive and affective empathic understanding of other agents ZA Memon, J Treur – Transactions on Computational Collective …, 2012 – Springer … Keywords: Cognitive agent model, empathic understanding, mindreading. 1 Introduction For effective functioning within a social context, one of the most important issues is to which extent persons have a good understanding of one another. … Cited by 3 Related articles All 8 versions

A cognitive module in a decision-making architecture for agents in urban simulations Q Reynaud, E De Sevin, JY Donnart… – Cognitive Agents for …, 2013 – Springer Abstract This paper addresses the issue of hybridization between reactive and cognitive approaches within a single decision-making architecture for virtual agent in an urban simulation. We use a reactive module in order to manage reactive behaviors and agent … Cited by 4 Related articles All 9 versions

Synchronisation effects on the behavioural performance and information dynamics of a simulated minimally cognitive robotic agent RC Moioli, PA Vargas, P Husbands – Biological cybernetics, 2012 – Springer … Taken together, the two tasks present challenging and important scenarios for a cognitive agent (Di Paolo 2000; Izquierdo 2008), justifying their choice as an experimental scenario: the first task requires the engagement of, and dis- crimination between, two different objects … Cited by 5 Related articles All 20 versions

An ambient agent architecture exploiting automated cognitive analysis A Sharpanskykh, J Treur – Journal of Ambient Intelligence and Humanized …, 2012 – Springer … assisted instruction domain. Keywords. Cognitive agent architecture Cognitive modelling and analysis Representation relations Intelligent support for human activities Logic-based modelling. 1 Introduction. Applications within the … Cited by 4 Related articles All 10 versions