Socio-Cognitive Agents: History
View Latest Version
Please note this is an old version of this entry, which may differ significantly from the current revision.
Subjects: Sociology
Contributor:
Diogo Rato

Socio-cognitive agents should be able to support an agent’s reasoning about other social actors and its relationship with them. Cognitive social frames can be built around social groups, and form the basis for social group dynamics mechanisms and construct of social identity. 

  • agent-based modeling
  • socio-cognitive systems
  • social agents
  • social identity

1. Design Principles of the New Socio-Cognitive Agents

Despite the increasing presence of autonomous agents in people’s daily lives, several researchers have highlighted the importance of understanding the social world in each individual’s cognition. This connection and its implications have been a research topic that has called the attention of multiple theorists that study this phenomenon, and computer scientists that recognize its importance in the design of intelligent agents. In the late 1990s, Castelfranchi argued that intelligence is a social phenomenon and that, in artificial intelligence, researchers construct socially intelligent systems to understand it [1]. However, more recently, AI’s goal regarding social intelligence has shifted towards designing and developing social agents that live alongside humans in a socially adequate manner. Nevertheless, the need to create social agents should not promote the inclusion of modules of social behavior as additions to the agent’s cognition [2]. Instead, an agent’s social nature should spread through its cognition.
To guide the design of socio-cognitive agents, five design principles are elaborated that should be taken into account.

1.1. Socially Situated Cognition

Human actions are influenced by external factors. From characteristics of the environment that restrict physical capabilities, to the presence of others that demand an adaptation of the speech tone; for example, people adapt their behavior to the situation they are placed in. Clancey proposed the notion of situated cognition to explain the process people use to adapt their cognition based on their surroundings [3]. His proposal states that “all processes of behaving, including speech, problem-solving, and physical skills, are generated on the spot [.]”. Primarily motivated to describe how knowledge is constructed in human’s minds, the author suggested that people’s cognitive resources are deployed as required by the context. In Clancey’s proposal, knowledge is described as inherently social, similar to human actions, defining human’s activity as socially oriented, as well as socially shaped [4]. Similarly, Suchman also argued that not only physical but also social context can guide, restrict, or even fully decide people’s actions [5].
To study situated cognition in a social context, Smith and Semin introduced the concept of socially situated cognition [6]. It proposes four different properties of cognition: cognition is for action, cognition is embodied, cognition is situated, and cognition is distributed. The authors extensively reviewed evidence that situated action enables the appearance of social cognition. For instance, Schwarz argues that the perceivers’ perspective of the context strengthens the sensitivity to external artefacts during attitude construal [7].
Socially situated cognition is considered as one of the most important design principles to endow social agents with the capability to selectively deploy their cognitive resources as the social environment requires. Although generating cognitive resources on the spot is not suitable for computational models, as Clancey proposed, its capabilities should evolve with the agent’s experience. Moreover, the sensitivity to the social context promotes the recruitment of only a part of the cognition that is deemed necessary, reducing the computational load on complex systems.
Socio-cognitive agents must be able to understand the situation (e.g., the adequate social roles and norms, and the relationship of the social actors) and act accordingly, but without losing the agency to choose whether to adhere to social pressures that the situation upholds. In contrast to normative systems that restrict agents’ actions to avoid a chaotic social world, socio-cognitive agents should not be enforced to blindly change their behavior by an outside source. The agent’s cognition should be the one promoting the balance between external pressures, such as social norms, and personal preferences. Overall, the principle can be summarized as:
A socio-cognitive agent must selectively deploy its cognitive resources, hence adapting its behavior, according to the social context.

1.2. Social Context and Construal

From the objects available around people to their relationships with other social actors, the entities that surround people have a direct influence on their cognitive processes. Nevertheless, not all humans ascribe similar meanings to the same entities they see in the physical world. In addition to the sensory experience that generates a perception, people construct mental representations of the world that are subject to an interpretative process.
One of the theories that explained the relationship of the self with the social reality is symbolic interactionism [8]. First proposed by George Mead and later published by Herbert Blumer, the theory proposes that individuals interact with each other based on the symbolic world they construct. Since “humans act toward things on the basis of the meanings they ascribe to those things.”, people can establish a link between their personal and unique view of entities and use it to adapt their cognition. Moreover, by arguing that “the meanings are handled in, and modified through, an interpretative process used by the person in dealing with the things he/she encounters” the authors emphasize that interpretation plays an important role when trying to understand the social world people interact with.
When endowing intelligent agents with the ability to selectively filter their computational processes based on the context they are placed in, there needs to be an explicit connection between the external world and their internal resources. Castelfranchi proposed that both physical context (relation to the environment) and social context (relation to other social actors) were noteworthy elements that influenced the agent’s autonomy [9]. Additionally, several researchers identified the importance of social context in the classification of agents as “socially believable” [10][11]. To be portrayed as such, an external observer should be able to perceive as meaningful the connection between the agent’s identity, its behavior and the social context.
From embodied virtual agents to social robots, the inclusion of autonomous agents in people’s society requires them to understand people’s current practices and adhere to them when appropriate. Using the physical reality might enable them to understand what the environment affords. However, this is not enough. In addition to exploring the deployment of cognitive resources based on world entities with physical properties, agents must rely on the relationship between such elements and their frame of reference. Endowing them with the capability to reason on top of the social context that represents a network of relationships between objects and social actors will improve their chances of being perceived by humans as socially believable. Following some theorists’ proposals, the design of social agents must include a representation of the social context, that results from an interpretative process that refines and extends the sensory stimulus with social meaning. Therefore:
A socio-cognitive agent must be able to construct social context by means of interpretative processes that ascribe social meaning to its sensory information.

1.3. Social Categorization and Identity

Allport studied human’s natural process for thinking about others in terms of their group memberships by means of social categorization [12]. As part of their social nature, people tend to categorize other social actors on the basis of their social groups’ memberships. Therefore, being able to recognize others’ social groups, a person can also identify himself based on his relationship to such groups. This interaction between one’s identity as a group member and the inter-group’s dynamics was elaborated by social identity theory [13]. It proposes that people are capable of constructing their social identity based on their relationship with other social groups. Later, Adams and Hoggs predicted that social identities can be taken as required by the situation, the social context [14]. Together, both formulations suggest that humans can assume an identity as they see fit while being capable of recognizing, and comparing to others’ memberships. Brewer further elaborated on the inter-group behavior, by proposing that one, when adopting a social identity, balances the similarities with other in-group members and the distinction between in-group and out-group [15] members.
Owens et al. [16] studied two types of identity: role identities and personal identities. The first refers to identities that can only exist when a relevant counter-part is also present, for example, one cannot be a mother without children. However, personal identity reflects one’s traits or characteristics that are not linked to others’ social or role identities. As such, role identities present an interesting way of adjusting one’s cognition based on the relationship with the reality, namely, other social actors.
The application of social identity in computational systems is also a challenging task. To design social agents, the notion of social context cannot be the only factor considered. If so, the individual nature of cognition can be lost. Therefore, the inclusion of aspects related to social identity can stimulate the individual differences of agents [4]. This distinction can be traced to people’s different emotional attachment to each social group. Therefore, besides the interpretation of the surroundings, socio-cognitive agents’ architectures must also include mechanisms that allow them to reason about other actors’ memberships and how one fits into the social world.
Social identity theory can provide insight into the mechanisms an agent must accommodate to identify social categories and be able to define social groups. Furthermore, when placed together with other social actors, social agents must be capable of understanding the relationship between social groups. Ultimately, while endowed with the possibility to recognizing others’ memberships and relate itself to them, an agent should be capable of constructing its own social identity that reflects its preferences and personal history in the social world. Similar to how social context represents the agent’s interpretation of the physical reality, its social identity serves as a manner to identify how an agent positions itself within the social landscape filled with other social actors distributed in social groups, so:
A socio-cognitive agent must be able to attribute social categories to social actors and understand their social meanings and relationship as part of the construction of social context. Additionally, it should be able to position itself in the social categorization space and have preferences over some social categories.

1.4. Social Affordances

According to Gibson, affordances are the interactive opportunities offered by the environment to an organism [17]. For instance, a book can afford several types of interactions ranging from interactions that are more common, such as, opening the book or reading its paragraphs, to other less orthodox interactions, such as using it as a cup holder or a wobbly table’s stabilizer. However, an affordance does not live inside the organism nor the environment; it emerges from the ecological relationship between both parties [18]. Moreover, affordances result from the coupling of perceptual information with the organism’s cognitive capabilities. Since Gibson’s theory of affordances was mainly conceived for direct visual perception, his proposal did not detail the role of cognition on the conception of affordances. Nevertheless, Gibson briefly challenged the affordances’ original domain, alluding that other biological perceptions or cultural processes may allow the emergence of other types of affordances. In the past four decades, following his initial contributions, other researchers extended the original theory and explored the cognition’s implications in recognition of affordances.
Some researchers proposed that perceptions result from a mental reconstruction of the physical world that is used to update our own internal representation of our surroundings [19]. However, such theories did not consider the role of the organism’s cognition in the perception process. By exploring the cognition’s impact on the theory of affordances, other researchers suggest that perception through sensory inputs is highly influenced by the cognitive capabilities of an organism [20]. For example, Hirsh et al. proposed that perceptions can be understood as interpretations of the sensory input based on past experiences, expectations, and motives [21]. Others suggested that the perceiver’s culture affects salience of some affordances, namely, the ones called social affordances [22]. Zhang and Patel, based on the distributed cognition framework, defined an affordance as a representation shared between the environment and the organism that can be categorized as biological, physical, perceptual, or cognitive [23], where the latter category refers to affordances provided by cultural conventions. Authors from distinct disciplines propose new interpretations to the ambiguous concept of affordance proposed by Gibson, but a common aspect was shared between their theories: cognition guides the attention mechanism that enables organisms to construct their internal representation of the physical reality.
The theory of affordance is also relevant while designing computational models for agents, primarily to help construct perceptions based on the resources agents can deploy. Particularly, agents’ architectures should consider potential interactions with other social actors as social affordances. Indeed, some computer science researchers have explored agents’ social affordances across multiple domains. In accordance with Gibson’s theory, Kreijns proposed a definition of social affordance to be applied in computer-supported collaborative learning [24]. The authors highlight the need for the CSCL environment to stimulate the group members’ intervention while reciprocally when a member becomes salient to another, the social affordances must help guide the second member to engage in appropriate interaction with the first. The ecological stance of social affordances also found relevancy across the field of human–robot interaction [25][26]. Whether to improve a robot’s planning capabilities by learning others’ social affordances from the physical environment [27][28], or by learning an affordance grammar from videos [29], approaches that use the theory of affordances can be found in multiple research works about social robots.
In practice, social affordances, as proposed by Gibson and later reiterated by other researchers, present an interesting method for designing social agents, particularly to define their interactions with other social actors. By first identifying the bidirectional relationship between the perceiver and the surrounding social world, an agent can recognize opportunities for interaction with others. This principle can be summarized as:
A socio-cognitive agent must be able to identify social affordances in the presence of other social actors.

1.5. Socially Affordable

Alongside its ecological motivation, social affordances can also bring technical improvements for social agents. Gibson argued that perception is not about passively constructing an internal representation of the world, but rather about actively picking up information of interest to one’s behavior [18]. As such, an agent that only perceives information that is worth considering reduces its set of relevant perceptions. Computationally, it means creating an attention process that allows an agent to filter the perceptions based on their relevancy to its cognition. Nevertheless, this approach may not be sufficient to create agents that are more socially capable. Being able to recognize social affordances, opportunities for interaction with other social actors in the environment, does not necessarily mean that those potential interactions are adequate for the social context. Instead, understanding the distinction between what is possible, the mentioned affordances, and what is appropriate, hence, socially affordable, endows agents with the capability to adhere to social conformity.
Let us revisit our previous example, the book’s affordances are directly related to its capabilities and the physical environment the book is placed in. However, as social actors, people also take into account the setting of the interaction and what is deemed appropriate for each context. Although using a book as a cup holder at home might not be questionable, the same action in a library might be inadmissible. The same principle applies to other types of affordances, such as social affordances. Whereas engaging a fellow reader in a library to dance can be considered inappropriate, the same interaction at home may be seen as adequate. To mimic this social awareness into agents through affordances, the environment must be perceived as an enabler of some opportunities that are socially affordable. Thus, an agent must be capable of representing and deploying social information regarded as relevant during the attention process, such as the relationship between other social actors and other physical entities.
Such a distinction between affordances, including social, and what is socially affordable, emphasizes the separation between the actions that are deemed possible and the ones that are socially acceptable. This knowledge regarding social conformity grants social agents the capability to engage in interactions with the environment and other social actors that fit their context, therefore:
A socio-cognitive agent must be able to recognize which affordances are socially affordable—adequate for the social context.

2. Cognitive Social Frames for the New Socio-Cognitive Agents

Humans live alongside other social actors. As members of society, people need to adapt actions to fit others’ expectations. Similarly, social agents must change their behavior according to their reality. To endow this capability to socio-cognitive agents, from virtual agents to robots, scientists must develop mechanisms to adapt their cognition based on their interpretation of the physical reality.
A cognitive social frame (CSF) is the core element of a framework that enables the adjustment of the agent’s cognition based on its interpretation of the surroundings. The latter is an internal representation of the agent’s relationship with the things and other social actors placed in the world. This mental representation is called social context. The agent’s cognition is encapsulated into several abstract blocks called cognitive resources. They contain specific knowledge and mechanisms used to determine the agent’s actions. Finally, each CSF establishes a link between the social context and the relevant cognitive resources, that will be used to determine which cognitive resources should be deployed.

Architecture

Throughout its interactions with the environment, the agent will receive new perceptions and interpret them. This process results in new social contexts that will guide the adjustment of the agent’s cognition. The connection between the social context and the agent’s cognition is represented by the concept of cognitive social frame. Although the agent holds a collection of possible CSFs, at a certain moment, only a subset of those is considered appropriate for the social context, called salient cognitive social frames. Each CSF identifies the proper cognitive resources to deploy when it is salient. The architecture does not impose limitations regarding the internal processes of each cognitive resource. However, some restrictions regarding the knowledge accessibility are established. Figure 1 provides a high-level view of the interaction of the cognitive social frames with the remaining concepts of the model. The following sections elaborate on each concept and how they contribute to the agent’s loop.
Sustainability 13 11390 g001
Figure 1. Cognitive social frame’s architecture illustrating the interaction of the model’s components highlighting the three main stages of the agent’s mechanism: Interpretation—the perceptions are interpreted based on the salient cognitive social frames to form the social context, Salience—all cognitive social frames assess their salience based on the social context, and Deployment—the salient cognitive social frames update the set of active cognitive resources.
The proposed computational model’s goal is to enable the creation of socio-cognitive agents that have the capability to adapt their cognition according to the social context, i.e., their interpretation of the social world. The model fulfils this goal, by introducing a mechanism based on the concept of cognitive social frame, which work as the link between the agent’s social context and its cognition.
Aligned with the design principle of socially situated cognition, the main motivation of cognitive social frames is to establish a link between the agent’s situation, formally represented in the social context and its cognition, encapsulated in its cognitive resources. As such, the agent is sensitive to the view of the surrounding world when deploying its cognitive resources. However, it is important to note that this sensitivity to the social context should not be confused with dependency. Although the agent takes into account the social context, using the model, its cognition’s deployment is also influenced by its own preferences.
A socio-cognitive agent implementing the mechanism can interpret the world, as stated in the social context and construal principle, rather than just perceiving it. The second stage of the mechanism allows a socio-cognitive agent to construct a mental representation, the social context, describing its relationship with perceived elements. This social context is the set of social perceptions that result from the application of each salient cognitive social frame construal function. This function is responsible for filtering the agent’s perceptions and then applying a social layer on top of them. As such, the social context enables the observer to allow its cognition to reason about the meaning of the elements of the physical world instead of the elements by themselves.
Additionally, in the interpretation phase, the agent can construct a social context. This process is also influenced by the salient cognitive social frames. Therefore, the interpretation of the reality is performed from the agent’s frame of reference with regard to its relevance to the agent’s cognition. As stated in the social affordances principle, a socio-cognitive agent should perceive what is worth paying attention to and identify social interaction opportunities in the social context. The proposal supports this suggestion since it only applies the construal function of the salient CSFs relevant for the cognition, to create the social context. A socio-cognitive agent should recognize what is socially affordable. In line with this remark, a cognitive social frame represents the cognitive resources that are associated with a particular social context and, to a certain degree, it also dictates how the agent can interact with the world. Moreover, while building the social context, CSFs are attributed to other social actors as well. This supports the identification of social affordances, but at the same time is a mechanism that enables certain mind-reading capabilities in the agent.
Finally, one of the most promising aspects of the proposal is related to the principle of social categorization and identity. The concept of cognitive social frames supports the appearance of the concept of social identity by enabling a socio-cognitive agent to identify its and others’ social categories. When placed in a world with other social actors, an agent capable of representing the concept of CSF can also assign to others their salient CSFs. Furthermore, it can also reason about its beliefs regarding others’ salient CSF and their social categories. However, this principle also claims that not only should a socio-cognitive agent recognize others’ group memberships but also be able to construct its own social identity based on its relationship with the social category, by defining personal preferences over some identities. Regarding the first, a cognitive social frame can be used as the concept that enables the categorization of social actors and, therefore, defines groups of social actors that share similar CSFs. With interest to the second, the mechanism allows the cognitive resources to reason about the concept of cognitive social frames and project into others’ salient CSFs, modeling others’ categories. With this information, an agent can explore its relationship with other social actors, considering their memberships, towards defining its own social identity.
In addition, by considering the salient CSFs of other social actors with its own cognition, an agent is capable of reasoning about others’ deployed cognitive resources and, therefore, acknowledge their beliefs, goals, mechanisms, and others. This mind-reading capability can enhance the social dimension of such agents since they can now expect and predict others’ actions based on their salient cognitive social frames. Furthermore, this mind-reading capability can be extended from the recognition of what cognitive resources are deployed to how another social actor interprets the physical world, thus creating social contexts from other frames of reference. Combining the two, the social context and cognitive social frames, a socio-cognitive agent has, to an extent, a mind-reading mechanism that allows it to understand the world from others’ perspectives and potentially anticipate others’ behaviors.
The ability to mind-read other social actors can help an agent establish relationships with other social actors. Instead of looking at the environment as a mere collection of opportunities for interaction, focusing on the interpersonal relationship with others creates agents that are more socially capable. When interacting with other social actors, an agent has a better chance of successfully engaging with them if it is aware of their drives, beliefs, norms, and other aspects that can be derived from their salient cognitive social frames. With this information, when interacting with other social actors, a socio-cognitive agent can search for common grounds with its interlocutors, thus strengthening their interpersonal relationship. CSFs can be used to explore the discrete (based on categories) nature of social relationships that are often treated as a continuous variable in multi-agent systems. For example, a CSF can be defined for friends and another for acquaintances and define in each the social norms that apply when the agent meets other actors that fit the CSF.
Additionally, agents with mind-reading capabilities can use their knowledge about others’ interpretation of the reality to manipulate the constructing of their social context, in particular, the identity (e.g., salient CSF) that others ascribe to the agent. Managing others’ impressions about itself requires a socio-cognitive agent to reason about others’ construction of the social context. Looking forward to inducing perceptions that will influence other’s views about itself, an agent can either adjust the information exchanged with others or modify the environment such that their construction of the social context alters the other’s interpretation of the social reality.
Finally, models for emotions and affect have also been researched towards creating better socio-cognitive agents. Indeed, considering that the goal is to create better human-agent interactions, emotional responses should also be focused when deploying such agents. However, the model does not enforce a specific emotional appraisal approach. Instead, the contribution focuses on identifying the adequacy of a behavior to the interpretation of the surrounding environment. Nonetheless, the inclusion of emotional appraisal mechanisms as cognitive resources can contribute to the identification of affordable emotional responses based on the social context.

This entry is adapted from the peer-reviewed paper 10.3390/su132011390

References

  1. Castelfranchi, C. Modelling social action for AI agents. Artif. Intell. 1998, 103, 157–182.
  2. Dignum, F.; Prada, R.; Hofstede, G.J. From autistic to social agents. In Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems. International Foundation for Autonomous Agents and Multiagent Systems, Paris, France, 5–9 May 2014; pp. 1161–1164.
  3. Clancey, W.J. Situated cognition: Stepping out of representational flatland. AI Commun. Eur. J. Artif. Intell. 1991, 4, 109–112.
  4. Clancey, W.J. The conceptual nature of knowledge, situations, and activity. In Human and Machine Expertise in Context; AAAI Press: Palo Alto, CA, USA, 1997; pp. 247–291.
  5. Suchman, L.A. Plans and Situated Actions: The Problem of Human-Machine Communication; Cambridge University Press: Cambridge, UK, 1987.
  6. Smith, E.R.; Semin, G.R. Socially Situated Cognition: Cognition in its Social Context. In Advances in Experimental Social Psychology; Academic Press: Cambridge, MA, USA, 2004; Volume 36, pp. 53–117.
  7. Schwarz, N. Attitude construction: Evaluation in context. Soc. Cogn. 2007, 25, 638–656.
  8. Blumer, H. Symbolic Interactionism: Perspective and Method; University of California Press: Berkeley, CA, USA, 1986.
  9. Castelfranchi, C. Guarantees for autonomy in cognitive agent architecture. In International Workshop on Agent Theories, Architectures, and Languages; Springer: Berlin/Heidelberg, Germany, 1994; pp. 56–70.
  10. Dautenhahn, K. The art of designing socially intelligent agents: Science, fiction, and the human in the loop. Appl. Artif. Intell. 1998, 12, 573–617.
  11. Fong, T.; Nourbakhsh, I.; Dautenhahn, K. A survey of socially interactive robots. Robot. Auton. Syst. 2003, 42, 143–166.
  12. Allport, G.W.; Clark, K.; Pettigrew, T. The Nature of Prejudice; Addison-Wesley: Reading, MA, USA, 1954.
  13. Tajfel, H. Human Groups and Social Categories: Studies in Social Psychology/Henri Tajfel; Cambridge University Press: Cambridge, UK; New York, NY, USA, 1981.
  14. Abrams, D.; Hogg, M.A. Social Identity and Social Cognition; Blackwell: Oxford, UK, 1999; pp. 197–229.
  15. Brewer, M.B. Ingroup identification and intergroup conflict. Soc. Identity Intergroup Confl. Confl. Reduct. 2001, 3, 17–41.
  16. Owens, T.J.; Robinson, D.T.; Smith-Lovin, L. Three faces of identity. Annu. Rev. Sociol. 2010, 36.
  17. Gibson, J.J. The theory of affordances. In Perceiving, Acting, and Knowing; Shaw, R., Bransford, J., Eds.; Lawrence Erlbaum: Mahwah, NJ, USA, 1977; pp. 67–82.
  18. Gibson, J.J. The Ecological Approach to Visual Perception; Houghton Mifflin: Boston, MA, USA, 1979.
  19. Riesenhuber, M.; Poggio, T. Neural mechanisms of object recognition. Curr. Opin. Neurobiol. 2002, 12, 162–168.
  20. Cisek, P.; Kalaska, J.F. Neural mechanisms for interacting with a world full of action choices. Annu. Rev. Neurosci. 2010, 33, 269–298.
  21. Hirsh, J.B.; Mar, R.A.; Peterson, J.B. Psychological entropy: A framework for understanding uncertainty-related anxiety. Psychol. Rev. 2012, 119, 304.
  22. Kaufmann, L.; Clément, F. How culture comes to mind: From social affordances to cultural analogies. Intellectica 2007, 46, 221–250.
  23. Zhang, J.; Patel, V.L. Distributed cognition, representation, and affordance. Pragmat. Cogn. 2006, 14, 333–341.
  24. Kreijns, K.; Kirschner, P.A. The social affordances of computer-supported collaborative learning environments. In Proceedings of the 31st Annual Frontiers in Education Conference. Impact on Engineering and Science Education, Reno, NV, USA, 10–13 October 2001.
  25. Min, H.; Yi, C.; Luo, R.; Zhu, J.; Bi, S. Affordance research in developmental robotics: A survey. IEEE Trans. Cogn. Dev. Syst. 2016, 8, 237–255.
  26. Wiltshire, T.J.; Warta, S.F.; Barber, D.; Fiore, S.M. Enabling robotic social intelligence by engineering human social-cognitive mechanisms. Cogn. Syst. Res. 2017, 43, 190–207.
  27. Pandey, A.K.; Alami, R. Visuo-spatial ability, effort and affordance analyses: Towards building blocks for robot’s complex socio-cognitive behaviors. In Proceedings of the Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence, Toronto, ON, Canada, 22–26 July 2012.
  28. Uyanik, K.F.; Calskan, Y.; Bozcuoglu, A.K.; Yuruten, O.; Kalkan, S.; Sahin, E. Learning social affordances and using them for planning. In Proceedings of the Annual Meeting of the Cognitive Science Society, Berlin, Germany, 31 July–3 August 2013; Volume 35.
  29. Shu, T.; Gao, X.; Ryoo, M.S.; Zhu, S.C. Learning social affordance grammar from videos: Transferring human interactions to human-robot interactions. arXiv 2017, arXiv:1703.00503.
More
© Text is available under the terms and conditions of the Creative Commons Attribution (CC BY) license; additional terms may apply. By using this site, you agree to the Terms and Conditions and Privacy Policy.
This entry is offline, you can click here to edit this entry!
ScholarVision Creations
Feedback