discuss the difference and their relationship later in
the paper.
We identified agents as either human intelligent
or artificially intelligent. We now extend this by
defining a human agent by combining the artificial
intelligence definition (Stoytchev, 2005) with Luck
and d’Inverno’s definition to give: A human or
artificially intelligent agent is a resource object that
can perceive its own environment through sensors
and acts on the environment according to their self-
motivations through effectors.
We identified passive resources as resources
requiring other agents to realise their capability ie
they are inert and not capable of their own motion or
change of state which relates to Luck’s lower level
definition of an object (Luck and d’Inverno, 2001).
We identified the concept of a driving resource in a
process to refer to object resources actively enabling
and driving a business transformation compared
with those (objects) passively used in the
transformation involved in a business process
(Michell, 2011). Driving resources in a business
process are autonomous agents (human/artificial)
controlling a range of transformations. Our scope
focuses on business activities where all the entities
in a business environment are object resources to be
used by a business enterprise. We defined capability
as: a property of a resource (tangible or intangible)
that has a potential for action or interaction that
produces value v for a customer via a
transformation process that involves the interaction
of the resource with other resources (Michell, 2011).
We use Luck’s definition of action as ‘a discrete
event that can change the state of an environment’
(Luck and d’Inverno, 2001). The tangible and
intangible resources in a business environment
undergo transformations and a change of state as a
result of an action of one resource interacting with
another. Each of these resources has a capability of
adding benefit of a specific value dependent on what
resource and process is used to execute the
capability i.e. Cv (capability of value V) = f
(resource, process P). We adapt Ortman and Kuhn’s
definition of value, to business value is the result of
any action that is of benefit to the business/client
(Ortmann and Kuhn, 2002). The Capability Cv
results from transformation interactions between two
or more resources that increases the business value
of the transformed resource (with respect to a
business client), i.e. the capability process contains
value transformations as defined by Weigand et al
(Weigand et al, 2006).
Cv = f (resource interaction, process of
interaction).
At the detail level each driving agent resource in
the sequence of transformations will be driven by
what Luck et al call motivations to achieve an
outcome or goal state G (Luck and d’Inverno, 2001),
which the transformation aims to achieve. We can
say that this goal state has attributes and a value to
the driving resource that is greater than the value
before the transformation. Using Z notation we can
say a resource R is transformed between a state a
and a’ such that actions are an effect on the
environment that result in a partial change in the
environment. We identified the process as a
sequence of actions. A process is what Luck refers
to as a total plan where Totalplan ==seq Action. To
develop the resource capability model we need to
use a structured method that enables an action level
perspective of capability as the interaction between
object resources.
1.2 Affordances
Gibson (Gibson, 1979) defined the term affordance
based on the root ‘phenomenon in gestalt
psychology (cited in (You and Chen, 2003)).
Gibson’s ecological approach saw ‘affordance as an
invariant combination of properties of substance and
surface taken with reference to an animal’ and ‘what
the environment offers and animal or intelligent
agent’. The theory of affordance provides a
perspective on the interaction of objects in an
environment that supports the capability approach.
Stamper (Stamper & Liu, 1994) expanded the
concept of affordances using behavioural norm
concepts into organisational semiotics and the idea
of affordance relating to the invariant behaviour of
both physical objects and intangible entities such as
social behaviours and concept models such as
ontology. Norman (Norman, 2004) refers to the term
‘perceived affordance’ for the concepts to describe
the interaction of objects with people and design
implications of man-made objects such as handles
optimised for pulling via a gripping section or plates
for pushing (Gaver, 1991). Norman sees affordances
as ‘referring to both potential and actual properties
of a designed device’. You and Chen identified the
difference between the semantics of design resource
objects and affordance theory (You and Chen,
2003). Ortman and Kuhn (Ortmann and Kuhn, 2010)
see affordances as one part of a set of qualities of an
object which separately include physical qualities or
facts about the objects such as size, temperature etc.
Turvey (Turvey, 1992) developed a mathematical
model of affordances as a property of a pair of
things e.g. object and agent where the affordance is
The Capability-affordance Model - A Method for Analysis and Modelling of Capabilities and Affordances
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